Quantized state-feedback H-in.nity control of networked control systems with Markov dropouts
The quantized H∞ control problem for discretetime 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 suf.cient 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.
Networked control systems dynamic quantizer Markov dropouts
Wei Wei Che Xiao Zheng Jin Dan Ye
Key Laboratory of Manufacturing IndustrialIntegrated Automation, Shenyang University, Shenyang 11004 Key Laboratory of Manufacturing Industrial IntegratedAutomation, Shenyang University, Shenyang 11004 College of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, C
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
406-411
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）