Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • Obituary
  • original-paper
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • short-communication
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • International Journal Advanced Network Monitoring Controls
  • Transport Problems
  • Architecture Civil Engineering Environment
  • Statistics In Transition

 

Research Article

DESIGN OF BACKING-UP FUZZY CONTROLLERS BASED ON VARIABLE UNIVERSE OF DISCOURSE

Fuzzy controllers with variable universe of discourse (VUD) have been applied in many fields of intelligent controlling because of their high-accuracy performance. This paper provides a lookup table method to design backing-up fuzzy controllers based on VUD. By setting a set of random start points, input–output data pairs are obtained using test-driving method. One data pair defines one fuzzy rule and also assigns the strength of every fuzzy rule. Conflicting fuzzy rule groups are integrated

Zuqiang Long, Wen Long, Yan Yuan, Xiaobo Yi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 505–522

Article

A RIDING FUZZY CONTROL SYSTEM FOR A MOUNTAIN AGRICULTURAL ROBOT

A fuzzy control system was designed to command driving directions for a mountain agriculture robot. First, a fuzzy control system program was developed based on the scheme of the robot driving control system. Then, the core part of the system--the fuzzy controller--was designed. Finally, a system model was created and a simulation test was conducted through the application of the Fuzzy Toolbox in MATLAB and SIMULINK. The results showed that the system is effective.

Yuanjie Wang, Fuzeng Yang, Yu Zhou, Guanting Pan, Jinyi He, Yubin Lan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1725–1744

Research Article

SELF-TUNING FUZZY SPEED CONTROLLER OF TRAVELLING WAVE ULTRASONIC MOTOR

Aiming at the nonlinear characteristic of ultrasonic motor, some control strategies have been proposed to control the rotating speed of ultrasonic motor. But most of these strategies are too complex to realize using a low-cost embedded device. In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy controller. Therefore, experience of expert is often used as the base of design. It makes the design of

Jingzhuo Shi, Juanping Zhao, Zhe Cao, Yunpeng Liang, Lan Yuan, Bin Sun

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 301–320

Article

ZIGBEE TRANSMISSION POWER DYNAMIC ADJUSTMENT SYSTEM BASED ON FUZZY CONTROL

We designed a fuzzy controller for ZigBee equipment’s transmission power adaptive adjustment. The controller is based on RSSI (Received Signal Strength Indicator). It can make a dynamic adjustment on the transmitted power according to the fuzzy control rules. The fuzzy control is suitable to solve the problem which is difficult to deal with in building system mathematical model. What’s more, the fuzzy control system has perfect performance in response speed and antijamming capability. It’s

Zhonghu Yuan, Wenwu Hua, Xiaowei Han

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1736–1752

Article

An Intelligent Fuzzy Controller for Air-Condition with Zigbee Sensors

In recent years, the research and development of energy-saving control in air-condition system has become a hot spot with the advance of science and technology. In this paper, we proposed a fuzzy control mechanism for air-condition system, which combines the fuzzy control and multi-point sensing technology. When people feel cooler or hotter indoor, the air condition should promptly detect the temperature variance and switch the temperate between hot and cool smoothly. Therein an intelligent

Tzu-Ming Wang, I-Ju Liao, Jen-Chi Liao, Tain-Wen Suen, Wei-Tsong Lee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 636–652

Article

VALVE BARREL POSITION CONTROL BASED ON SELF-TUNING FUZZY PID WITH PARTICLE SWARM OPTIMIZATION

This paper introduced the self-tuning fuzzy PID controller based on particle swarm optimization which aims to gain more precise control over the position of pneumatic proportional valve barrel, where particle swarm works to optimize the membership function, fuzzy rule and PID parameter in fuzzy control. The study fruits also include online optimization of the self-tuning fuzzy PID controller parameters. Comparing to the conventional control methodology, The self-tuning fuzzy PID controller with

Zhang Haiyan, Song Lepeng, Dong Zhiming

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1497–1515

Article

HIGH-ACCURACY POSITIONING OF LATHE SERVO SYSTEM USING FUZZY CONTROLLERS BASED ON VARIABLE UNIVERSE OF DISCOURSE

A novel fuzzy controller is proposed here to improve the positioning precision of servo system of CNC lathes. To utilize the high–accuracy potential of the VUD fuzzy controller, a grating–ruler was used as a sensor to measure the displacement of work pieces. Designing the VUD fuzzy controller involved five steps, i.e., setting up universes of discourse and parameters, selecting membership functions, designing a differential circuit, constructing a base of fuzzy rules, and defining a set of

Zuqiang Long, Yan Yuan, Yuebing Xu, Shehui Du

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1114–1133

Article

Research of Oil Pump Control Based On Fuzzy Neural Network PID Algorithm

control the oil pump accurately and stably, and is easy to cause system shock. With the development of intelligent control technology, such as fuzzy control, neural network control, and sensor technology, more and more control methods and control technology become more and more mature. This paper synthesizes the advantages of simple PID control, fuzzy control does not depend on model, and neural network control is adaptive. Fuzzy neural network PID control is used to control oil pump accurately, after

Chen Gong, Shengquan Yang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 63–68

Article

Research on the application of dynamic fuzzy logic in intelligent knowledge base system

With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation of the dynamic fuzzy system theory, and the theory of dynamic fuzzy dynamic fuzzy on the

Wang Tao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 89–92

Article

FRACTIONAL ORDER CONTROLLER BASED FUZZY CONTROL ALGORITHM FOR SWITCHED RELUCTANCE MOTOR

The doubly salient mechanical structure and switching characteristics of switched reluctance motor (SRM) led to torque ripple, low dynamic performance and other problems when using conventional control algorithm in speed control method. In view of the fractional PID control algorithm has strong robustness and advantage of fuzzy control, and it does not depend on the precise mathematical model, the paper proposed a control algorithm based on fuzzy fractional order PID torque control algorithm

Yang Congkun, Chen Chaobo, Fu Yongsheng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 864–883

Research Communicate

IMPROVEMENT OF FUZZY MORTALITY MODELS BY MEANS OF ALGEBRAIC METHODS

stationary models and dynamic models, respectively. Models contained in the first, bigger group contains models use a real or fuzzy variable function with some estimated parameters to represent death probabilities or specific mortality rates. The dynamic models in the second group express death probabilities or mortality rates by means of the solutions of stochastic differential equations, etc. The well-known Lee-Carter model (1992), which is widely used today, is considered to belong to the first group

Andrzej Szymański, Agnieszka Rossa

Statistics in Transition New Series , ISSUE 4, 701–724

Article

A PID BASED ANFIS & FUZZY CONTROL OF INVERTED PENDULUM ON INCLINED PLANE (IPIP)

The objective of this study is to present an offline control of highly non-linear inverted pendulum system moving on a plane inclined at an angle of 10° from horizontal. The stabilisation was achieved using three different soft-computing control techniques i.e. Proportional-integral-derivative (PID), Fuzzy logic and Adaptive neuro fuzzy inference system (ANFIS). A Matlab-Simulink model of the proposed system was initially developed which was further simulated using PID controllers based on

Ashwani Kharola

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 616–636

Article

IMPROVING METROLOGICAL PROPERTIES OF ELECTRIC TRACTION ENERGY METERS USING FUZZY CONTROLLERS

This paper presents the possibility of using a fuzzy controller to correct metrological properties of an electric traction energy meter. So far, no algorithms based on fuzzy logic to determine the desired conversion value of the current channel of the electricity meter have been applied. Currently, for the mentioned channel, conventional methods of gain determination are used, based on a sequential algorithm that controls operation of the programmable gain amplifier. The proposed corrector is

Bartosz DOMINIKOWSKI, Krzysztof PACHOLSKI, Jan ANUSZCZYK, Andrzej GOCEK

Transport Problems , ISSUE 1, 147–158

Article

APPLICATION OF SELF-TUNING FUZZY PID CONTROLLER ON INDUSTRIAL HYDRAULIC ACTUATOR USING SYSTEM IDENTIFICATION APPROACH

In this paper, Self Tuning Fuzzy PID controller is developed to improve the performance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique. The model is performed in linear discrete model to obtain a discrete transfer function for the system. Model estimation procedures are done by using System Identification Toolbox in Matlab. Data for model estimation is taken from an

Zulfatman, M. F. Rahmat

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 246–261

Article

A HYBRID FUZZY MORPHOLOGY AND CONNECTED COMPONENTS LABELING METHODS FOR VEHICLE DETECTION AND COUNTING SYSTEM

A hybrid fuzzy morphology and connected components labeling method is proposed for detecting and counting the number of vehicles in an image taken from a traffic monitoring camera. A fuzzy morphology approach in image segmentation method is used in the system to achieve faster computation time compared to the supervised learning. The connected components labeling method is combined with a fuzzy morphology method to determine the region and number of objects in an image. The processing phases in

Chastine Fatichah, Joko Lianto Buliali, Ahmad Saikhu, Silvester Tena

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 765–779

Research Article

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

This paper presents the implementation of a fuzzy controller on the Arduino Mega board, for tracking the maximum power point of a photovoltaic (PV) module; using low cost materials. A dc–dc converter that incorporates a driver circuit to control the turning on and off of the Mosfet transistor was designed. The controller was evaluated in a PV system consisting of a 65 W PV module and a 12 V/55Ah battery. The results demonstrate the superiority of the fuzzy controller compared to the traditional

Carlos Robles Algarín, Roberto Liñán Fuentes, Adalberto Ospino Castro

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–10

Research Article

A Cooperative Object Tracking System with Fuzzy-Based Adaptive Camera Selection

The intelligent environments, built upon many distributed sensors, are promising technology for ubiquitous interaction between robots and human beings. Especially, it is important to track target objects and get the positional information of them in such environments. This paper focuses on adapting camera selection for target tracking in multi-camera system. In this paper, a fuzzy automaton based camera selection method is introduced. In the proposed method, the camera selection decision is

Kazuyuki Morioka, Szilveszter Kovacs, Joo-Ho Lee, Peter Korondi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 338–358

Article

SEFP: A NEW ROUTING APPROACH USING FUZZY LOGIC FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system

hassan EL ALAMI, Abdellah NAJID

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306

Research Article

SLIDING MODE BASED FUZZY CONTROL FOR POSITIONING OF OPTICAL PICKUP HEAD

A laser diode package is mounted on an optical pickup head actuator. The laser diode package is used to sense the displacement of a moving target by self-mixing interference signals. A sliding mode based fuzzy control method is developed to achieve fast response of the optical pickup head actuator, which is driven in a focusing direction. Simulation results show the proposed method performs better than sliding-mode control. Experimental results further show that the proposed control method

M. Y. Tsai, T. S. Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 304–321

Article

PERFORMANCE ANALYSIS OF PATIENT SPECIFIC ELMAN-CHAOTIC OPTIMIZATION MODEL FOR FUZZY BASED EPILEPSY RISK LEVEL CLASSIFICATION FROM EEG SIGNALS

This paper aims to analyze the optimization of Epilepsy risk levels from EEG signals using Fuzzy based Elman-Chaotic Optimization. The EEG (Electroencephalogram) signals of twenty patients are collected from Sri Ramakrishna Hospitals at Coimbatore. The raw EEG signals are sampled and various parameters like energy, energy, variance, peaks, sharp and spike waves, duration, events and covariance. The fuzzy techniques are applied as a first level classifier to classify the risk levels of epilepsy

Dr.R HariKumar, T. Vijayakumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 612–635

Research Article

A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks

Clustering, an energy efficient approach is used in Wireless Sensor Network. Clustering involves cluster formation and Cluster Head Selection. As the Cluster Head is involved in carrying out the entire communication, a high energy node has to be selected as Cluster Head. In this paper, a novel predictive Fuzzy based Cluster Head selection algorithm is proposed. The proposal suggests a new input parameter, Rate of recurrent Communication apart from the standard parameters namely the Residual

Hemavathi Natarajan, Sudha Selvara

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–8

Article

PLC BASED ADAPTIVE FUZZY PID SPEED CONTROL OF DC BELT CONVEYOR SYSTEM

the main controller which is the Adaptive Fuzzy PID Speed controller. Both controllers are implemented in a real hardware where the algorithm will be written in PLC using SCL language. The experimental result shows that Adaptive Fuzzy PID controller performs better and adapted to the changes in load much faster than the conventional PID controller. This project has also proved that PLC is capable of performing high level control system tasks.

Mohd Heidir Mohd Shah, Mohd Fua’ad Rahmat, Kumeresan A. Danapalasingam, Norhaliza Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1133–1152

research-article

Decentralized stable and robust fault-tolerant PI plus fuzzy control of MIMO systems: a quadruple tank case study

plus type-1 fuzzy logic controller. The main aim of the considered decentralized control design strategy is to keep the overall system robust stability and to achieve the required performance specifications. We study the basic steps of decentralized control design on a quadruple tank process case study with two inputs and two outputs (Johansson et al., 1999; Johansson, 2000), since it includes both minimum and non-minimum phase configurations and an attractive physical interpretation. The process

Himanshukumar R. Patel, Vipul A. Shah

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–20

Article

A MODEL FOR FUZZY DATA CORREALATION OF AIS AND RADAR

proposed a fuzzy correlation method for target tracking and data fusion. The experiment shows that the proposed method is correct and efficient and it can improve the performance and the stability of VTS.

Liu Chang, Cao Ming-zhi, Han Feng, Shi Gui-ming, Liu Ren-jie

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 843–858

Article

SENSITIVITY ANALYSIS OF HIERARCHICAL HYBRID FUZZY - NEURAL NETWORK

To identify the important attributes of complex system, which is high-dimensional and contain both discrete and continuous variables, this paper proposes a sensitivity analysis method of hierarchical hybrid fuzzy - neural network. We derive the sensitivity indexes of discrete and continuous variables through the differential method. To verify the effectiveness of our method, this study employed a man-made example and a remote sensing image classification example to test the performance of our

Xing Haihua, Yu Xianchuan, Hu Dan, Dai Sha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1837–1854

Article

FUZZY EXPERT SYSTEM FOR ADAPTIVE VESSEL TRAFFIC CONTROL ON ONE-WAY SECTION ON NAVIGABLE CANAL

the one-way section, two independent variable vessel flows from opposite directions are encountered, and fixed (predefined) signal plans lead to an increase in vessel delays. An appropriate solution is development of a Fuzzy Control System (FCS) for the vessel traffic control. A control algorithm is designed according to a set of linguistic rules that describes input parameters for the control strategy. The estimated and approximate input parameters are implemented in the algorithm as fuzzy sets

Vladimir BUGARSKI, Todor BAČKALIĆ, Željko KANOVIĆ, Filip KULIĆ, Miloš ZEKOVIĆ

Transport Problems , ISSUE 4, 39–50

Research Article

Type-2 Fuzzy Kalman Hybrid Application for Dynamic Security Monitoring Systems based on Multiple Sensor Fusion

next state estimates of agent(s) in uncertain environment. Finally, our proposed system transforms system state to be able to make a security awareness decision, using type-2 fuzzy logic system to handle exhibited uncertainty, for asset scenery under surveillance. It is shown that the system performance can exhibit promising improvements for this dynamic security monitoring situation as a result of using the above complementary heterogeneous set of sensors.

T. K. Dakhlallah, M. A. Zohdy, O.M. Salim

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 607–629

Article

FLOW REGIME IDENTIFICATION IN PNEUMATIC CONVEYOR USING ELECTRODYNAMIC TRANSDUCER AND FUZZY LOGIC METHOD

problems and further more improve efficiency in the manufacturing or chemical processes. This study proposes to use electrodynamic transducer to measure electrical charge within pneumatic pipeline and utilize the fuzzy logic technique to identify the pattern of flow regimes through pneumatic pipeline. Promising results are obtained through experimental studies.

M. F. Rahmat, N. S. Kamaruddin, M. D. Isa

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 396–416

Research Article

CLUSTER HEAD ELECTION MECHANISM-BASED ON FUZZY LOGIC (CHEF) WITH TDMA IN WSN

the network, even the cluster head is elected according to check their residual energy considerable amount of energy will drain automatically to overcome this drawback by considering the protocol a fuzzy logic approach is used to elect the cluster head based on three descriptors-energy, centrality & distance and second CH is elected according to TDMA to overcome the data lost during energy drain occur in the CH .NS-2 simulation shows that proposed protocol provides higher energy efficiency. This

G Vijayalakshmi, M.Anto Bennet, P. Shenbagavalli, M. Vijayalakshmi, S. Saranya

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 395–413

Research paper

THE AUTONOMOUS GOLF PLAYING MICRO ROBOT: WITH GLOBAL VISION AND FUZZY LOGIC CONTROLLER

This paper presents design concepts in developing an Autonomous Golf Playing Micro Robot. The robot moves autonomously using 2 DC motors controlled by a remote PC using fuzzy logic system. A servomotor is used for the motion of the putter in hitting the golf ball. A microcontroller is used to process the information sent by the computer through RF communication and drive the robot motors for appropriate motions. The robot plays golf` in a defined environment and avoids obstacles. A real golf

N. G. Jabson, K.G. B. Leong, S. W. Licarte, G. M. S. Oblepias, E. M. J. Palomado, E .P. Dadios

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 824–841

Article

REAL TIME STEAM TEMPERATURE REGULATION USING SELF-TUNING FUZZY PID CONTROLLER ON HYDRO-DIFFUSION ESSENTIAL OIL EXTRACTION SYSTEM

The essential oil is mostly depends on the temperature. The temperature will influence the final product of the extraction process. The existing steam distillation processes are giving less intention on this issue. This work implemented the robust self-tuning fuzzy PID (STFPID) controller to monitor the steam temperature in the hydro-diffusion essential oil extraction system. The hydro-diffusion system is built to overcome some weakness of existing systems. The effectiveness of the STFPID using

Zakiah Mohd Yusoff, Zuraida Muhammad, Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2055–2074

Article

DIFFERENT DEFUZZIFICATION METHODS IN GUIMBAL CABRI G2 HELICOPTER TAKEOFF POSSIBILITY EVALUATION

The article discusses the aerodynamic properties of the Guimbal Cabri G2 helicopter. The main considerations concern the helicopters ascending to the altitude under initial conditions, which were assumed in the project and how the change of the defuzzification method affects the work of the fuzzy controller. The authors analyzed the following: the aircraft, the crew and the payload. The authors assessed the altitude and the minimum time of the helicopter climb. In designing and the work

Marlena Mendrek, Norbert Grzesik, Aneta Krzyżak, Konrad Kuźma

Transport Problems , ISSUE 2, 27–38

Article

MODELLING OF EQUIPMENT FAILURE RATE ACCOUNTING FOR THE UNCERTAINTY

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate. Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to make the calculating quantity of system reliability evaluation simple and easy, the fuzzy clustering

H.X. Tian, W.F Wu, P. Wang, H.Z. Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1484–1504

Research Article

SOLVING TRANSPORT LOGISTICS PROBLEMS IN A VIRTUAL ENTERPRISE THROUGH ARTIFICIAL INTELLIGENCE METHODS

The paper offers a solution to the problem of material flow allocation within a virtual enterprise by using artificial intelligence methods. The research is based on the use of fuzzy relations when planning for optimal transportation modes to deliver components for manufactured products. The Fuzzy Logic Toolbox is used to determine the optimal route for transportation of components for manufactured products. The methods offered have been exemplified in the present research. The authors have

Vitaliy PAVLENKO, Tetiana PAVLENKO, Olga MOROZOVA, Anna KUZNETSOVA, Olena VOROPAI

Transport Problems , ISSUE 2, 31–42

Article

MODELING AND CONTROLLER DESIGN FOR THE VVS-400 PILOT SCALE HEATING AND VENTILATION SYSTEM

In this paper, a heating and ventilation model VVS-400 from Instrutek, Larvik, Norway is modeled using ARX model structure and linear black-box technique. The conventional PID controller and artificial Fuzzy controller are designed based on the approximated plant model and real plant model. The approximated plant model is estimated using System Identification approach while the real plant model is developed by interfacing the Real-time Windows Target toolbox in Matlab with real VVS-plant by

M.F. Rahmat, N.A. Mohd Subha, Kashif M.Ishaq, N. Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 579–601

Article

ADAPTIVE INTELLIGENT INVERSE CONTROL OF NONLINEAR SYSTEMS WITH REGARD TO SENSOR NOISE AND PARAMETER UNCERTAINTY (MAGNETIC BALL LEVITATION SYSTEM CASE STUDY)

Type-2 Fuzzy Neural Networks have tremendous capability in identification and control of nonlinear, time-varying and uncertain systems. In this paper the procedure of designing inverse adaptive type-2 fuzzy neural controller for online control of nonlinear dynamical systems will be presented. At first the structure of a novel class of Interval Type-2 Nonlinear Takagi-Sugeno-Keng Fuzzy Neural Networks (IT2-NTSK-FNN) will be presented. There is a class of nonlinear function of inputs in the

Yaghoub Pour Asad, Afshar Shamsi, Hoda Ivani, Jafar Tavoosi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 148–169

Research Article

Traffic Signal Control for Urban Trunk Road Based on Wireless Sensor Network and Intelligent Algorithm

Based on the analysis for the present research on controlling urban trunk road, a intelligent control method for urban trunk road based on wireless sensor and fuzzy neural network was proposed. In this method, we took two layers of WSN structure. The first one was data collecting layer, which consisted of traffic information collecting nodes and sink nodes. Data collecting layer was responsible for collecting vehicle information at single crossing, transmitted to the second layer after data

Peng Xiaohong, Mo Zhi, Liao Riyao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 352–367

Article

A SIMPLIFIED MODEL STRUCTURE FOR AN ACTIVATED SLUDGE SYSTEM

an activated sludge system using neuro-fuzzy system. Efficiency, ease of use, effectiveness and fast convergence are some of the alluring qualities of neuro-fuzzy technique. Building a reliable and flexible model requires validation with full scale or experimental data. Therefore, with the use of the full-scale data from the domestic wastewater treatment plant in Malaysia, the validation was achieved. For comparison, auto regressive with exogenous input (ARX) model was used. Simulation studies

M.S. Gaya, N. A. Wahab, Y. M. Sam, A.N Anuar, S.I. Samsuddin, M.C Razali

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1167–1179

Article

IMPERIALIST COMPETITIVE ALGORITHM-BASED FUZZY PID CONTROL METHODOLOGY FOR SPEED TRACKING ENHANCEMENT OF STEPPER MOTOR

degradation of the control action. The main purpose of this paper is to provide an intelligent approach for improving the functionality of conventional PID controller in the problem of trajectory tracking in permanent magnet stepper motor (PMSM). Combination of a meta-heuristic algorithm called imperialist competitive algorithm (ICA) and fuzzy logic is employed for online tuning of PID controller. This, consequently, establishes an intelligent structure, fuzzy-PID controller (FPID), which is more flexible

Amir Mehdi Yazdani, Ahmadreza Ahmadi, Salinda Buyamin, Mohd Fua’ad Rahmat, Farshad Davoudifar, Herlina Abd Rahim

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 717–741

Article

DEVELOPMENT OF THE RAILWAY POINT ELECTRIC HEATING INTELLECTUAL CONTROL ALGORITHM

The article reviews and describes the problems of the railway point heating conventional control system considering its structure, simple design, disadvantages and nonconformity. As a solution to the described problem, an innovative and advanced point heating control algorithm is proposed based on Mathlab’s Fuzzy Logic Designer module, which will allow control of heating more effectively and intellectually. The tasks for the advanced and intellectual point heating control system were set

Ruslans MUHITOVS, Mareks MEZITIS, Ilja KORAGO

Transport Problems , ISSUE 1, 71–80

Research paper

DEVELOPMENT OF AN FPGA BASED SMART DIAGNOSTIC SYSTEM FOR SPIROMETRIC DATA PROCESSING APPLICATIONS

The paper describes the development of an FPGA based fuzzy processing system for pulmonary spirometry applications predicting the approaching obstructive or restrictive pulmonary disorder of the patient before criticality actually occurs. The system employs a smart agent that accepts the Peak Expiratory Flow Rate (PEFR), Forced Expiratory Volume in 1 second (FEV1) and Forced Vital Capacity (FVC) data of patients. In order to speed up the computation process, hybrid parallel data processing

Shubhajit Roy Chowdhury, Dipankar Chakrabarti, Hiranmay Saha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 985–1018

Research Article

TEMPERATURE CONTROL OF A CONTINUOUS STIRRED TANK REACTOR BY MEANS OF TWO DIFFERENT INTELLIGENT STRATEGIES

least square and fuzzy logic approaches. The goal is to control the temperature of the CSTR in presence of the set point changes. The works followed with designing those controllers and simulating in MATLAB software. The performance of the proposed controllers have been consider based on the Sum of the Square Error (SSE) and Integral Absolute Error(IAE) Criteria. The results clearly indicate that both suggested control strategies offer an acceptable performance with respect to the functional changes

Mohd Fua’ad Rahmat, Amir Mehdi Yazdani, Mohammad Ahmadi Movahed, Somaiyeh Mahmoudzadeh

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 244–267

Article

Anfis Coordination of Changes In Power Oscillation Damper Parameters with Variation In Power System Operating Point

I. INTRODUCTION Most of the FACTS based damping controllers belong to the PI (Proportional + Integral) type and work effectively in single machine system [1]. However, the performance of the above mentioned damping controllers deteriorates in multi-machine power systems. The damping performance of the FACTS based damping controllers in multi-machine power systems can be improved by using fuzzy coordinated design [2]. Furthermore Power Oscillation Damper are designed for specific operating point

Dr I. I. Alabi, Dr A. I. Araga, Mr Sabo Aliyu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 17–24

research-article

VARIOUS PRESENTATION OF NOISE PERCEPTION IN BYDGOSZCZ GREEN AREAS

environment [5, 6, 7]. The soundscape map informs about the perception of different types of noise, including positive ones. The reception map determines the sound perception. Together with the perceptible quality of the sound, the environment creates a special acoustic map like a mental map or a fuzzy cognitive map. Liu et al [8] describe a map of sound sources perception on the basis of spatial-temporal variability. He divided sources into: anthropological, biological, geographic, and showed that they

Małgorzata SZTUBECKA, Marta SKIBA, Maria MRÓWCZYŃSKA, Anna BAZAN-KRZYWOSZAŃSKA

Architecture, Civil Engineering, Environment , ISSUE 3, 113–120

Article

OPTIMIZATION OF TRUSSES WITH SELF-ADAPTIVE APPROACH IN GENETIC ALGORITHMS

This paper presents a genetic algorithm method for the optimization of the weight of steel truss structures. In the method of genetic algorithm integer encoding of a discrete set of design variables and novel self-adaptive method based on fuzzy logic mechanism are applied for improving the quality and speed of optimization. Self-adaptive method is applied simultaneously in the selection of chromosomes and to control basic parameters of genetic algorithm. The algorithm proposed in the work was

Krzysztof GRYGIEREK

Architecture, Civil Engineering, Environment , ISSUE 4, 67–78

Article

IMPROVING SAFETY ON THE CROSSWALKS WITH THE USE OF FUZZY LOGIC

Irina MAKAROVA, Ksenia SHUBENKOVA, Vadim MAVRIN, Polina BUYVOL

Transport Problems , ISSUE 1, 97–109

Article

ROAD DAMAGE IDENTIFICATION AND DEGREE ASSESSMENT BASED ON UGV

based on fuzzy decision is proposed based on the quantitative analysis of the road crack and the corresponding parameters information. The experimental results demonstrate that the road damage identification and degree assessment algorithms proposed in this paper are effective and stable.

J. H. Song, H. W. Gao, Y. J. Liu, Y. Yu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2069–2087

Research Article

 VIDEO-BASED VEHICLE DETECTION AND CLASSIFICATION IN CHALLENGING SCENARIOS   

dimension reduction. In vehicle classification part, we adopt fuzzy support vector machine, and design a novel vehicle classifier based on nested one-vs-one algorithm. Finally, experimental tests show excellent results of our methods in both vehicle detection and classification.   

Yiling Chen, GuoFeng Qin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1077–1094

Research Article

Method for pre-processing of level crossing image

presented. Proposed method accounts unequal subjective informational content of different LC image regions (using fuzzy logic and wavelet transform). Comparison of this method with plain set partitioning in hierarchical trees (SPIHT) technique showed that proposed method allows obtaining better result at image compression in terms of reconstruction quality and compression ratio.

Roman RYBALKA, Konstantin HONCHAROV

Transport Problems , ISSUE 1, 79–86

Article

AUTO-ADAPTIVE CONTROL OF A ONE-JOINT ARM DIRECT DRIVEN BY ANTAGONISTIC SHAPE MEMORY ALLOY

This paper pursues a promising approach to obtain strain feedback based angular motion control of a manipulator for any robotic application. The proposed single degree of freedom manipulator uses antagonistic shape memory alloy (SMA) actuated wires. Antagonistic SMA actuated structures employ opposing pairs of one-way SMA actuators to create systems capable of a fully reversible response. A self-tuning PID type fuzzy (auto adaptive) based control scheme is designed and implemented

D Josephine Selvarani Ruth, S Sunjai Nakshatharan, K Dhanalakshmi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 833–849

Research paper

DATA FUSION ALGORITHM OF FAULT DIAGNOSIS CONSIDERING SENSOR MEASUREMENT UNCERTAINTY

This paper presents data fusion algorithm of fault diagnosis considering sensor measurement uncertainty. Random-fuzzy variables (RFV) are used to model testing patterns (TPs) and fault template patterns (FTPs) respectively according to on-line sensor monitoring data and typical historical sensor data reflecting every fault mode. A similarity measure is given to calculate matching degree between a TP and each FTP in fault database such that Basic Probability Assignment (BPA) can be obtained by

Xu Xiaobin, Zhou Zhe, Wen Chenglin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 171–190

Research Article

DESIGN AN INTELLIGENT CONTROLLER FOR FULL VEHICLE NONLINEAR ACTIVE SUSPENSION SYSTEMS

The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence Neuro-Fuzzy (NF) technique to design a robust controller to meet the control objectives

A. A. Aldair, W. J. Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 224–243

Article

DESIGN OF SMART ROBOT FOR WRIST REHABILITATION

level. A fuzzy logic controller is implemented in the LabVIEW-based human-machine interface (HMI) to determine the desired angle and velocity in real time. Parameters and results of each exercise can be stored and operated later in analysis and evolution of patient progress.

Ismail Ben Aabdallah, Yassine Bouteraa, Chokri Rekik

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1029–1053

Article

RESEARCH AND DEVELOPMENT OF AN ELECTRIC TRACTION DRIVE BASED ON A SWITCHED RELUCTANCE MOTOR

both freight and passenger rolling stock. Our research is directed to develop a control system for a four-phase SRM. The procedure of fuzzy-regulator synthesis is presented. A physical model of a switched reluctance drive is created, namely, it is a system of a wheel set and a motor. The efficiency of the control system with different types of speed regulators was checked and their main quality indicators were determined. According to the results of the analysis, it was found that the fuzzy

Serhii Buriakovskyi, Artem Maslii, Olga Pasko, Ihor Denys

Transport Problems , ISSUE 2, 69–79

Article

INTELLIGENT NEURAL NETWORK CONTROL STRATEGY OF HYDRAULIC SYSTEM DRIVEN BY SERVO MOTOR

A novel intelligent neural network control scheme which integrates the merits of fuzzy inference, neural network adaptivity and simple PID method is presented in this paper. This control method overcomes the defects existed in the traditional variable frequency induction motor driven hydraulic source, such as slow response, poor control precision, easy to overshoot. Permanent magnet synchronous motor driven constant pump hydraulic system is designed instead of common motor, energy saving, fast

Ma Yu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1406–1423

Research Article

ACCURACY COMPARISON OF ARX AND ANFIS MODEL OF AN ELECTRO-HYDRAULIC ACTUATOR SYSTEM

Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. Linear ARX modelling has widely been applied and satisfying result has been obtained, through linearization process. The objective of this paper is to compare ARX model with nonlinear ANFIS (Adaptive Neuro-Fuzzy Inference System) model, which can represent the real EHA

M. F. Rahmat, T. G. Ling, A. R. Husain, K. Jusoff

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 440–453

Article

RESEARCH OF THE FORKLIFT POWER-ASSISTED STEERING SYSTEM BASED ON SAFETY STEERING SPEED CONTROL

Enhancing the safety of forklift power-assisted steering system is a problem urgently to be solved in practice. First of all, forklift power-assisted steering system model is established according to Lagrange dynamical equations, and three variable assistance characteristics curve fitted for reach trucks is designed combined with fuzzy control algorithm. Then sliding mode variable-structure control method based on motor current control is used tracking the target current and making contrast

Yan He, Benxian Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 749–765

Article

RESEARCH ON POWER CHARACTERISTIC OF THE ELECTRIC FORKLIFT EPS SYSTEM

This paper has given the structure, operating principle, and force analysis of electric power steering (EPS) system aimed at a type of forklift. Combing with forklift operating characteristic, three variable power characteristics curve based on steering wheel torque, real-time speed, and load is designed, so is the three dimensional diagram of forklift power gradient by using fuzzy rule. The dynamic model of EPS system and two-degree-of-freedom linear model of forklift dynamics are established

Yan He, Benxian Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1768–1785

Article

Research on Fault Diagnosis Technology of CNC Machine Tool Based on Machining Surface Roughness

relationship were established through the adaptive network-based fuzzy inference system(ANFIS), to achieve the machine tool spindle fault diagnosis. The results indicate that the roughness characteristic can accurately diagnose the machine tool spindle fault and can be an effective method to study the spindle fault of the machine tool.

Zhou Guang-wen, Mao Chun-yu, Tian Mei, Sun Yan-hong

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 98–102

Article

Research on AORBCO Model and It’s Description Language

representation of intelligence. Introducing and updating of the weights to express the closely degree of relationship among entities are to simulate the fuzzy of intelligence. The behavior control mechanism of the agent makes the intelligent dynamics realization. The AORBCO description language based on XML makes the expression form and content of the resources unify through the definition of correlative marks, which is convenient for people and computers to understand the semantics of language components

Zhi Min, Luo Junmin, Gao Wuqi

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 101–105

Article

A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS

processing and so on. Also, various methods combining the AFSA with other optimization methods like PSO, Fuzzy Logic, Cellular Learning Automata or intelligent search methods like Tabu search, Simulated Annealing , Chaos Search and etc.

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 108–148

Research Article

PRECISE TRANSHIPPMENT CONTROL OF AN AUTOMATED MAGNETIC-GUIDED VEHICLE USING OPTICS POSITIONING

magnetic tape used as the guide-path. Fuzzy control is proposed to eliminate two deviations for path tracking that keeps the AGV on its path. A set of optics emitters and receivers is arranged on some specific points in the AGV and the station respectively to determine the longitudinal position for material transshipment, and to coordinate the transmission operation of two equipments. The experiment for the palletized materials transshipment shows that positioning control of our AGV parking system can

Xing Wu, Peihuang Lou, Ke Shen, Guangqing Peng, Dunbing Tang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 48–71

Article

EVALUATION OF HYBRID TRUST MODELS USING ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1243–1260

Research Article

DECISION MAKING ON CARGO-FLOWS MANAGEMENT IN INTEGRATED PRODUCTION AND TRANSPORTATION SYSTEM

Julia BULGAKOVA

Transport Problems , ISSUE 4, 83–94

Article

Virtual Detection Zone in smart phone, with CCTV, and Twitter as part of an Integrated ITS

B. Hardjono, A. Wibisono, A. Nurhadiyatna, I. Sina, W. Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1830–1868

No Record Found..
Page Actions