Observer-Based Distributed Mean-Square Consensus Design for Leader-Following Multiagent Markov Jump Systems

Author(s):  
Shanling Dong ◽  
Wei Ren ◽  
Zheng-Guang Wu
2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Ting Hou ◽  
Weihai Zhang ◽  
Hongji Ma

We apply the spectrum analysis approach to address the stability of discrete-time Markov jump systems with state-multiplicative noise. In terms of the spectral distribution of a generalized Lyapunov operator, spectral criteria are presented to testify three different kinds of stochastic stabilities: asymptotic mean square stability, critical stability, and essential instability.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yueying Liu ◽  
Ting Hou

In this paper, we discuss the infinite horizon H∞ control problem for a class of nonlinear stochastic systems with state, control, and disturbance dependent noise. The jumping parameters are modelled as an infinite-state Markov chain. Based on the solvability of a set of coupled Hamilton-Jacobi inequalities (HJIs), the exponential mean square H∞ controller for the considered nonlinear stochastic systems is obtained. A numerical example is given to show the effectiveness of the proposed design method.


Automatica ◽  
2021 ◽  
Vol 129 ◽  
pp. 109590
Author(s):  
Peng Cheng ◽  
Shuping He ◽  
Xiaoli Luan ◽  
Fei Liu

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