期刊
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
卷 32, 期 6, 页码 4038-4054出版社
WILEY
DOI: 10.1002/rnc.6009
关键词
discrete singular network systems; event-based communication method; Markovian jump parameters; singular stochastic finite-time H-infinity boundedness
资金
- Foundation of Henan Educational Committee [18A110001]
- Australian Research Council [DP170102644]
This article presents the analysis and design problems of event-based finite-time H-infinity filtering for discrete-time singular Markov jump network systems based on separation of matrix inequality variables. Sufficient conditions of singular stochastic FT boundedness are obtained for the augmented SMNS model by introducing slack matrix variables. The co-designed EBFT H-infinity filter gain matrices and triggered ones ensure that the augmented SMNSs are singularly stochastic FT bounded with a prescribed performance index.
This article presents the analysis and design problems of event-based (EB) finite-time (FT) H-infinity filtering for discrete-time singular Markov jump network systems (SMNSs) based on separation of matrix inequality variables. According to the EB method, an SMNS model of network-induced delay is introduced. Sufficient conditions of singular stochastic FT boundedness are then obtained for the augmented SMNS model by applying a stochastic Lyapunov functional and introducing slack matrix variables. In addition, using separation schemes for decoupling matrix inequality variables, the EBFT H-infinity filter gain matrices and triggered ones are co-designed to ensure that the augmented SMNSs are singularly stochastic FT bounded with a prescribed performance index. Finally, a practical DC test example is presented to show effectiveness of the proposed approach.
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