Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Letter to the Editor
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • 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
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • Transport Problems

 

Research Article | 27-December-2017

PARETO OPTIMAL ROBUST FEEDBACK LINEARIZATION CONTROL OF A NONLINEAR SYSTEM WITH PARAMETRIC UNCERTAINTIES

The problem of multi-objective robust feedback linearization controller design of nonlinear system with parametric uncertainties is solved in this paper. The main objective of this paper is to propose an optimal technique to design a robust feedback linearization controller with multi-objective genetic algorithm. A nonlinear system is considered as a benchmark and feedback linearization controller is designed for deterministic and probabilistic model of the benchmark. Three and four conflicting

A. Hajiloo, M. samadi, N. Nariman-Zadeh

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 214–237

research-article | 23-August-2019

Linearization of the sensors characteristics: a review

materials have a nonlinear response. A typical nonlinear response curve of a sensor can be represented by nth-order polynomial function, the order of which depends on the nonlinearity value. A typical third-order response (y) can be represented by: (1) y = a 3 x 3 + a 2 x 2 + a 1 x + a 0 , where x is the measurement parameter; and a 3, a 2, a 1, and a 0 are the characteristic coefficients of the sensor. By the linearization circuit, the nonlinear response curve

Tarikul Islam, S. C. Mukhopadhyay

International Journal on Smart Sensing and Intelligent Systems , Volume 12 , ISSUE 1, 1–21

Article | 01-June-2016

AN INVERSE LINEARIZATION MODEL FOR THE CHARACTERIZATION OF NON-CONTACT THERMOPILES

system and a thermoelectric cooling device to control the room temperature and the temperature that is read out using the thermopile, respectively. This is based on the automation of the data collection procedure and the characterization of the thermistor that is used to measure the temperature of the thermopile. The result is an experimental operating surface, from which a linearization model was derived.

J-S. Botero V, A. Salazar, L-J. Morantes G.

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 637–650

Research Article | 01-September-2011

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, Volume 4 , ISSUE 3, 440–453

research-article | 01-July-2020

Sliding mode control design for the attitude and altitude of the quadrotor UAV

linear model (Ataka et al., 2013; Al-Younes et al. 2010). The dynamics of quadrotor is divided into three subsystems: attitude, altitude, and positions to design the backstepping and augmented backstepping controller (Madani and Benallegue, 2006; Behnamgol et al., 2016; Zhang et al., 2017). The direct feedback linearization and adaptive feedback linearization for quadrotor are designed (Lee et al., 2009; Mukherjee and Waslander, 2012). The attitude controller is designed based on quantitative

Ahmed Eltayeb, Mohd Fua’ad Rahmat, Mohd Ariffanan Mohd Basri

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–13

Research Article | 02-November-2017

Implementation of linear trace moisture sensor by nano porous thin film moisture sensor and NLAmp

Almost all type of moisture sensors has a non-linear response. With out linearization it is difficult to apply such a non-linear sensor in electronics circuits, specially in analog electronics. Non linear sensor and transducers characteristic can be linearized using analog electronics or digital electronics. In this paper a method of linearization of such non-linear sensors characteristics using analog electronics is described. Theoretical explanation of the methods and its verification by

Dilip Kumar Ghara, Debdulal Saha, Kamalendu Sengupta

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 955–969

Research Article | 13-December-2017

Embedded system design and implementation of standard auto-calibrated measurement chain

M. NADI, C. MARGO, M. KOUIDER, J. PRADO, D. KOURTICHE

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 1, 21–33

Research Article | 12-December-2017

A LOW COST PORTABLE TEMPERATURE-MOISTURE SENSING UNIT WITH ARTIFICIAL NEURAL NETWORK BASED SIGNAL CONDITIONING FOR SMART IRRIGATION APPLICATIONS

Aman Tyagi, Arrabothu Apoorv Reddy, Jasmeet Singh, Shubhajit Roy Chowdhury

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 94–111

Research Article | 13-December-2017

APPLICATION OF INTELLIGENT CONTROLLER IN A BALL AND BEAM CONTROL SYSTEM

mathematical modeling that includes the linearization of the model in order to be used with the linear controllers. The works followed with designing those controllers and simulating it in MATLAB. Each controller performance will be analyzed and compared which is based on common criteria’s of the step response. An appropriate graphic user interface (GUI) has been developed to view the animation of the ball and beam system.

Mohd Fuaad Rahmat, Herman Wahid, Norhaliza Abdul Wahab

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 1, 45–60

Research Article | 13-December-2017

LEAK RATE AND LOCATION ANALYSIS THROUGH SLITS AND CRACKS IN PIPES BY NANO POROUS CERAMIC HUMIDITY SENSORS

Dilip Kumar Ghara, Debdulal Saha, Kamalendu Sengupta

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 3, 784–798

Article | 01-September-2014

STUDY AND CONSTRUCTION ON MEMORYLESS NONLINEAR MODEL OF DOHERTY AMPLIFIER

Chen Jun, Su Kaixiong, Huang Xiyuan, Yan Lirong

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1421–1435

Article | 06-November-2017

MODELING AND CONTROL OF BALL AND BEAM SYSTEM USING MODEL BASED AND NON-MODEL BASED CONTROL APPROACHES

The ball and beam system is a laboratory equipment with high nonlinearity in its dynamics. The aims of this research are to model the ball and beam system considering nonlinear factors and coupling effect and to design controllers to control the ball position. The LQR is designed considering two Degrees-of-Freedom and coupling dynamics. The parameters of the LQR are tuned using Genetic Algorithm (GA). Jacobian linearization method is used to linearize the system around operating-point. Due to

Mohammad Keshmiri, Ali Fellah Jahromi, Abolfazl Mohebbi, Mohammad Hadi Amoozgar, Wen-Fang Xie

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 14–35

Article | 31-December-2020

MOVING OBJECT DETECTION IN CAR TRAFFIC WITH IMPLEMENTATION OF OPTICAL SENSORS

Piotr SZABLATA, Paweł ŁĄKOWSKI, Janusz POCHMARA

Transport Problems, Volume 15 , ISSUE 4, Part 1, 105–116

No Record Found..
Page Actions