HMM-Based Asynchronous H∞ Filtering for Fuzzy Singular Markovian Switching Systems With Retarded Time-Varying Delays

This article reports our study on asynchronous H-infinity 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-infinity 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.

Automated summary

This article presents a study on asynchronous H-infinity filtering for fuzzy singular Markovian switching systems with delayed time-varying delays using the Takagi-Sugeno fuzzy control technique. It introduces novel admissibility and filtering conditions in terms of linear matrix inequalities to ensure stochastic admissibility and H-infinity performance, demonstrating correctness and effectiveness through simulation examples like a single-link robot arm.