Static Output Feedback Stackelberg Strategy of Infinite Horizon Markov Jump Linear Stochastic Systems with $H_{\infty}$ Constraint

2018 ◽  
Author(s):  
Hiroaki Mukaidani ◽  
Hua Xu ◽  
Vasile Dragan
Keyword(s):  
Output Feedback ◽  
Stochastic Systems ◽  
Infinite Horizon ◽  
Static Output Feedback ◽  
Markov Jump ◽  
Stackelberg Strategy ◽  
Linear Stochastic Systems ◽  
Static Output

scholarly journals Probability-Dependent Static Output Feedback Control for Discrete-Time Nonlinear Stochastic Systems with Missing Measurements

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Wangyan Li ◽  
Guoliang Wei ◽  
Licheng Wang
Keyword(s):  
Discrete Time ◽  
Output Feedback ◽  
Stochastic Systems ◽  
Output Feedback Control ◽  
Upper And Lower Bounds ◽  
Static Output Feedback ◽  
Missing Measurements ◽  
Design Procedures ◽  
Static Output Feedback Control ◽  
Static Output

This paper is devoted to the problems of gain-scheduled control for a class of discrete-time stochastic systems with infinite-distributed delays and missing measurements by utilizing probability-dependent Lyapunov functional. The missing-measurement phenomenon is assumed to occur in a random way, and the missing probability is time varying with securable upper and lower bounds that can be measured in real time. The purpose is to design a static output feedback controller with scheduled gains such that, for the admissible random missing measurements, time delays, and noises, the closed-loop system is exponentially mean-square stable. At last, a simulation example is exploited to illustrate the effectiveness of the proposed design procedures.

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