This paper addresses sliding mode control(SMC) for Takagi-Sugeno (T-S) fuzzy switchied systems under a multi-node stochastic communication protocol(MSCP). Sensor and actuator access is modeled by two Markov chains, merged via a mapping into a single equivalent chain. A scheduling-dependent fuzzy sliding mode controller is designed, and MFD-based conditions are derived to guarantee mean-square exponential stability and sliding surface reachability. Numerical simulations validate the effectiveness of the proposed method under MSCP scheduling and switching constraints.

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Sliding Mode Control of T-S Fuzzy Switched Systems with Multi-node Stochastic Communication Protocol

  • Wendi Wang,
  • Haijuan Zhao,
  • Wei He

摘要

This paper addresses sliding mode control(SMC) for Takagi-Sugeno (T-S) fuzzy switchied systems under a multi-node stochastic communication protocol(MSCP). Sensor and actuator access is modeled by two Markov chains, merged via a mapping into a single equivalent chain. A scheduling-dependent fuzzy sliding mode controller is designed, and MFD-based conditions are derived to guarantee mean-square exponential stability and sliding surface reachability. Numerical simulations validate the effectiveness of the proposed method under MSCP scheduling and switching constraints.