International Journal of Control, Automation and Systems 2015; 13(2): 319-326
Published online February 2, 2015
https://doi.org/10.1007/s12555-014-0128-y
© The International Journal of Control, Automation, and Systems
This paper considers robust stochastic stability and PI tracking control problem for Markov jump systems with both input delay and an unknown nonlinear function. Based on the traditional PI control strategy, a new controller design scheme is proposed for nonlinear time-delay Markov jump systems which can realize multiple control objectives including robust stochastic stability and tracking performance. By using the Lyapunov stability theory and LMI algorithms, a sufficient condition for the solution to robust stochastic stability and tracking control problem is obtained. Then, the desired controller with PI structure is designed, which ensures the resulting closed-loop system is robust stochastically stable and the system state has favorable tracking performance. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.
Keywords LMI, Markov, PI tracking control, stochastic stability, time-varying delay, unknown nonlinear function.
International Journal of Control, Automation and Systems 2015; 13(2): 319-326
Published online April 1, 2015 https://doi.org/10.1007/s12555-014-0128-y
Copyright © The International Journal of Control, Automation, and Systems.
Cong Liu* and Lijuan Xu
Yancheng Institute of Technology
This paper considers robust stochastic stability and PI tracking control problem for Markov jump systems with both input delay and an unknown nonlinear function. Based on the traditional PI control strategy, a new controller design scheme is proposed for nonlinear time-delay Markov jump systems which can realize multiple control objectives including robust stochastic stability and tracking performance. By using the Lyapunov stability theory and LMI algorithms, a sufficient condition for the solution to robust stochastic stability and tracking control problem is obtained. Then, the desired controller with PI structure is designed, which ensures the resulting closed-loop system is robust stochastically stable and the system state has favorable tracking performance. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.
Keywords: LMI, Markov, PI tracking control, stochastic stability, time-varying delay, unknown nonlinear function.
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