Integral Sliding Mode Control for Partially Unknown T-S Fuzzy Systems Based on Reinforcement Learning Method
Author:
Affiliation:
1. School of Electrical Engineering, Nantong University,Nantong,China,226019
Funder
National Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858419.pdf?arnumber=9858419
Reference18 articles.
1. Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model
2. RobustH∞sliding mode control for nonlinear stochastic T-S fuzzy singular Markovian jump systems with time-varying delays
3. Robust H∞ observer-based sliding mode control for uncertain Takagi–Sugeno fuzzy descriptor systems with unmeasurable premise variables and time-varying delay
4. Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints
5. Command Filter-Based Adaptive NN Control for MIMO Nonlinear Systems With Full-State Constraints and Actuator Hysteresis
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