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  • International Journal Advanced Network Monitoring Controls

 

Article

SIMULTANEOUS PERIODIC OUTPUT FEEDBACK CONTROL FOR PIEZOELECTRIC ACTUATED STRUCTURES USING INTERVAL METHODS

In this paper, the problem of modeling, output feedback control design and the experimental implementation for the vibration control of smart cantilever beam with parameter uncertainties represented in interval form is addressed. The interval model of the system is obtained by introducing variation in the parameter of the identified model. However, Uncertainties are assumed in the model, identified through on line recursive least square parameter estimation. The control and identification

S. Neduncheliyan, M. Umapathy, D. Ezhilarasi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 417–431

Article

A METHOD TO DESIGN PID CONTROLLERS USING FRIT-PSO

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control systems. The proposed method is an offline PID parameter tuning method. Moreover it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numerical examples and an experiment.

Takehito Azuma

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1876–1895

Article

MULTIVARIABLE PID CONTROL VIA ILMIs: PERFORMANCES ASSESSMENT

Wajdi Belhaj, Olfa Boubaker

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1896–1916

Article

DESIGN OF A FOUR-WING HETEROGENEOUS FRACTIONAL-ORDER CHAOTIC SYSTEM AND ITS CIRCUIT SIMULATION

Xiaohong ZHANG, Qiang SUN, Peng CHENG

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

Article

Quadrotor Formation Inversion Control Method Based on Unit Quaternion

, formation members get the geometric center position as the desired trajectory through the consistency algorithm. The back-stepping method is used to design the time-varying feedback control law for each four-rotor, so that the formation is stabilized. Finally, the effectiveness of the control method is verified by simulation experiments.

Wang Zhongsheng, Yang Sen, Dong Hairui

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 27–34

Article

Exponential Synchronization for Fractional-order Time-delayed Memristive Neural Networks

−s2≤σj,0≤gj(s1)−gj(s2)s1−s2≤ρj, where s1 ≠ s2 and σj, ρj are nonnegative constants. We consider system (4) as drive system and corresponding response system is given as follows:3 (7) Dqyi(t)=−ciyi(t)+∑j=1naij(yj(t))fj(yj(t))+∑j=1nbij(yj(t−τj(t)))gj(yj(t−τj(t)))+Ii+ui,t≥0, i∈N, Where (8) aij(yj(t))={a⌢ij,yj(t)≤0,a⌣ij,yj(t)>0,  bij(yj(t−τj(t)))={b⌢ij,yj(t−τj(t))≤0.b⌣ij,yj(t−τj(t))>0. and ui(t) is a liner error feedback control function which defined by ui(t) = ωi(yi(t) − xi(t)), where ωi, i

Ding Dawei, Zhang Yaqin, Wang Nian

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 1–15

Research Article

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

parameters to which the crops are susceptive. The sensing system is based on a feedback control mechanism with a centralized control unit which regulates the flow of water on to the field in the real time based on the instantaneous temperature and moisture values. Depending on the varied requirement of different crops, a lookup table has been prepared and referred to for ascertaining the amount of water needed by that crop. The system based on a microcontroller has been applied on rice and maize fields

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

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

Article

Homotopy Analysis for Periodic Motion of Time-delayed Duffing system

multiply periodic motions with time-delayed systems. This paper is presented a general approach to the analysis of periodic motions of time-delayed systems. Although here we only consider a non-autonomous Duffing system with linear and nonlinear time-delayed position feedback, HAM can be extended to solve other time-delayed systems, such as coupled oscillators with time-delayed, feedback control which may have significance for the control of some physical or engineering systems.

You Xiangcheng

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 157–160

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