Reduced-order Filtering for Descriptor Systems with Markovian Switching

2005 ◽  
Author(s):  
Xiaomei Zhang ◽  
Guoping Lu ◽  
Yufan Zheng
Keyword(s):  
Markovian Switching ◽  
Descriptor Systems ◽  
Reduced Order

Reduced-Order Observer Design for Switched Descriptor Systems With Unknown Inputs

2020 ◽  
Vol 65 (1) ◽  
pp. 287-294 ◽  
Author(s):  
Jiancheng Zhang ◽  
Xudong Zhao ◽  
Fanglai Zhu ◽  
Hamid Reza Karimi
Keyword(s):  
Observer Design ◽  
Descriptor Systems ◽  
Reduced Order ◽  
Unknown Inputs ◽  
Reduced Order Observer

THE LINEAR QUADRATIC DYNAMIC GAME FOR DISCRETE-TIME DESCRIPTOR SYSTEMS

2003 ◽  
Vol 05 (04) ◽  
pp. 361-374
Author(s):  
HUA XU ◽  
HIROAKI MUKAIDANI
Keyword(s):  
State Space ◽  
Discrete Time ◽  
Dynamic Game ◽  
Descriptor Systems ◽  
Linear Feedback ◽  
Space System ◽  
Linear Quadratic ◽  
Reduced Order ◽  
State Space System ◽  
Zero Sum

The linear quadratic zero-sum dynamic game for discrete time descriptor systems is considered. A method, which involves solving a linear quadratic zero-sum dynamic game for a reduced-order discrete time state space system, is developed to find the linear feedback saddle-point solutions of the problem. Checkable conditions, which are described in terms of two dual algebraic Riccati equations and a Hamiltonian matrix, are given such that the linear quadratic zero-sum dynamic game for the reduced-order discrete time state space system is available. Sufficient conditions for the existence of the solutions are obtained. In contrast with the dynamic game in state space systems, the dynamic game in descriptor systems admits uncountably many linear feedback saddle-point solutions. All these solutions have the same existence conditions and achieve the same value of the dynamic game.

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