Title :
Quantized state-feedback H-infinity control of networked control systems with Markov dropouts
Author :
Che, Wei Wei ; Jin, Xiao Zheng ; Ye, Dan
Author_Institution :
Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
Abstract :
The quantized H∞ control problem for discrete-time LTI systems with dynamic quantizer and Markov dropouts is considered in this paper. The quantizer considered here is dynamic and composed of a dynamic scaling and a static quantizer. A model for NCSs with the bounded packet dropouts of Markov process is employed to solve the problem. And by augmenting the states of the systems, the NCS is transmitted into a Markov system directly. Based on a model-dependent Lyapunov function, LMI-based sufficient conditions is proposed to design the controller and further to guarantee the closed-loop system stochastic stability with a prescribed H∞ disturbance attenuation level. A numerical example is given to illustrate the effectiveness of the proposed control method.
Keywords :
H∞ control; Lyapunov methods; Markov processes; closed loop systems; control system synthesis; discrete time systems; linear matrix inequalities; networked control systems; stability; state feedback; stochastic systems; H∞ disturbance attenuation level; LMI-based sufficient conditions; Markov dropouts; Markov process; Markov system; NCS; closed-loop system; discrete-time LTI systems; dynamic quantizer; dynamic scaling; model-dependent Lyapunov function; networked control systems; quantized H∞ control problem; quantized state-feedback H-infinity control; static quantizer; stochastic stability; Closed loop systems; Educational institutions; Lyapunov methods; Markov processes; Networked control systems; Numerical models; Quantization; Markov dropouts; Networked control systems; dynamic quantizer;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244061
