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
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 417–431
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.
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1876–1895
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1896–1916
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, –
, 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.
International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 27–34
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
and ui(t) is a liner error feedback control function which defined by ui(t) = ωi(yi(t) − xi(t)), where ωi, i
International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 1–15
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
Arrabothu Apoorv Reddy,
Shubhajit Roy Chowdhury
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 94–111
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.
International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 157–160