T-S fuzzy-based sliding mode controller design for discrete-time nonlinear model and its applications
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Publication:2660956
DOI10.1016/j.ins.2020.01.010zbMath1461.93079OpenAlexW2999829533MaRDI QIDQ2660956
Publication date: 31 March 2021
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2020.01.010
fuzzy sliding surfacediscrete-time nonlinear systemPMSMfuzzy Lyapunov functionfuzzy sliding-mode control
Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Variable structure systems (93B12)
Related Items (13)
Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach ⋮ Fuzzy multi-objective fault-tolerant control for nonlinear Markov jump singularly perturbed systems with persistent dwell-time switched transition probabilities ⋮ An intelligent sliding mode controller based on LAMDA for a class of SISO uncertain systems ⋮ Dimensional-varying integral sliding mode controller design for uncertain Takagi-Sugeno fuzzy systems ⋮ Robust \(H_\infty\) observer-based sliding mode control for uncertain Takagi-Sugeno fuzzy descriptor systems with unmeasurable premise variables and time-varying delay ⋮ Observer-based proportional derivative fuzzy control for singular Takagi-Sugeno fuzzy systems ⋮ Investigation on stability of delayed T-S fuzzy interconnected systems via decentralized memory-based sampled-data control and validation through interconnected power systems with DFIG-based wind turbines ⋮ Decentralized observer‐based integral sliding mode control design of large‐scale interconnected systems and its application to doubly fed induction generator‐based wind farm model ⋮ A novel fuzzy sliding mode control approach for chaotic systems ⋮ Robust finite-time sliding mode control for discrete-time singular system with time-varying delays ⋮ Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques ⋮ Dynamic integral sliding mode control for interconnected delayed power systems ⋮ Quantized asynchronous extended dissipative observer-based sliding mode control for Markovian jump TS fuzzy systems
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