Reduced-Order Partially Mode-Dependent Energy-to-Peak Filter Design for Discrete-Time Markov Jump Systems Subject to Quantizer Faults and State-Dependent Noises

2014 ◽  
Vol 34 (1) ◽  
pp. 77-103 ◽  
Author(s):  
Kezhen Han ◽  
Jian Feng ◽  
Xiaoheng Chang
Keyword(s):  
Discrete Time ◽  
Filter Design ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Reduced Order ◽  
State Dependent ◽  
Jump Systems

Fuzzy model-based asynchronous H∞ filter design of discrete-time Markov jump systems

2017 ◽  
Vol 354 (18) ◽  
pp. 8444-8460 ◽  
Author(s):  
Meng Zhang ◽  
Peng Shi ◽  
Zhitao Liu ◽  
Hongye Su ◽  
Longhua Ma
Keyword(s):  
Discrete Time ◽  
Filter Design ◽  
Fuzzy Model ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Model Based ◽  
Jump Systems

scholarly journals H∞Filtering for Discrete Markov Jump Singular Systems with Mode-Dependent Time Delay Based on T-S Fuzzy Model

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Cheng Gong ◽  
Yi Zeng
Keyword(s):  
Time Delay ◽  
Filter Design ◽  
Singular Systems ◽  
Fuzzy Model ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Markov Jump ◽  
Markov Jump Systems ◽  
Delay Dependent ◽  
Jump Systems

This paper investigates theH∞filtering problem of discrete singular Markov jump systems (SMJSs) with mode-dependent time delay based on T-S fuzzy model. First, by Lyapunov-Krasovskii functional approach, a delay-dependent sufficient condition onH∞-disturbance attenuation is presented, in which both stability and prescribedH∞performance are required to be achieved for the filtering-error systems. Then, based on the condition, the delay-dependentH∞filter design scheme for SMJSs with mode-dependent time delay based on T-S fuzzy model is developed in term of linear matrix inequality (LMI). Finally, an example is given to illustrate the effectiveness of the result.

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