Stochastic stability analysis for joint process driven and networked hybrid systems

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• 作者：Jing Yao ; Feng Lin ; Hua O. Wang
• 关键词：Joint process driven ; Stochastic stability ; Networked hybrid systems ; Impulsive disturbance ; Remote time-delay feedback control
• 刊名：Communications in Nonlinear Science and Numerical Simulation
• 出版年：May, 2014
• 年：2014
• 卷：19
• 期：5
• 页码：1519-1528
• 全文大小：667 K

文摘

The stochastic stability and impulsive noise disturbance attenuation in a class of joint process driven and networked hybrid systems with coupling delays (JPDNHSwD) has been investigated. In particular, there are two separable processes monitoring the networked hybrid systems. One drives inherent network structures and properties, the other induces random variations in the control law. Continuous dynamics and control laws in networked subsystems and couplings among subsystems change as events occur stochastically in a spatio-temporal fashion. When an event occurs, the continuous state variables may jump from one value to another. Using the stochastic Lyapunov functional approach, sufficient conditions on the existence of a remote time-delay feedback controller which ensures stochastic stability for this class of JPDNHSwD are obtained. The derived conditions are expressed in terms of solutions of LMIs. An illustrative example of a dynamical network driven by two Markovian processes is used to demonstrate the satisfactory control performance.