Event-triggered observer-based sliding mode control for T-S fuzzy systems via improved relaxed-based integral inequality
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Publication:2005374
DOI10.1016/j.jfranklin.2020.07.025zbMath1448.93208OpenAlexW3044433226MaRDI QIDQ2005374
Publication date: 7 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.07.025
nonlinear control systemevent-triggered fuzzy systemsobserver-based exponential stabilizationobserver-based sliding mode fuzzy control
Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Discrete event control/observation systems (93C65) Variable structure systems (93B12) Exponential stability (93D23) Observers (93B53)
Related Items (10)
Extended dissipativity analysis for T-S fuzzy systems based on reliable memory control and aperiodic sampled-data method ⋮ Adaptive event-triggered finite-time \(H_\infty\) control for fuzzy semi-Markovian jump systems with immeasurable premise variables ⋮ Annular finite-time \(H_\infty\) control of switched fuzzy systems: a switching dynamic event-triggered control approach ⋮ Adaptive event-triggered finite-time sliding mode control for singular T-S fuzzy Markov jump systems with asynchronous modes ⋮ Asynchronous robust fuzzy event-triggered control of nonlinear systems ⋮ New results on T-S fuzzy sampled-data stabilization for switched chaotic systems with its applications ⋮ Neural-network based adaptive sliding mode control for Takagi-Sugeno fuzzy systems ⋮ \(\boldsymbol{H}_\infty\) dynamic observer-based fuzzy integral sliding mode control with input magnitude and rate constraints ⋮ Observer-based defense control for networked Takagi-Sugeno fuzzy systems against asynchronous DoS attacks ⋮ Design of memory-based adaptive integral sliding-mode controller for fractional-order T-S fuzzy systems and its applications
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