HMM-Based Asynchronous H∞ Filtering for Fuzzy Singular Markovian Switching Systems With Retarded Time-Varying Delays.
IEEE Trans Cybern
; 51(3): 1189-1203, 2021 Mar.
Article
em En
| MEDLINE
| ID: mdl-32175885
This article reports our study on asynchronous H∞ filtering for fuzzy singular Markovian switching systems with retarded time-varying delays via the Takagi-Sugeno fuzzy control technique. The devised parallel distributed compensation fuzzy filter modes are described by a hidden Markovian model, which runs asynchronously with that of the original fuzzy singular Markovian switching delayed system. The fuzzy asynchronous filtering dealt with in this article contains synchronous and mode-independent filtering as special cases. Novel admissibility and filtering conditions are derived in terms of linear matrix inequalities so as to ensure the stochastic admissibility and the H∞ performance level. Simulation examples including a single-link robot arm are employed to demonstrate the correctness and effectiveness of the proposed fuzzy asynchronous filtering technique.
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2021
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Article