JOURNAL ARTICLE

Adaptive fuzzy control for nontriangular form systems with time‐varying full‐state constraints

Rui ZhangJunmin LiJianmin Jiao

Year: 2020 Journal:   International Journal of Adaptive Control and Signal Processing Vol: 34 (7)Pages: 919-936   Publisher: Wiley

Abstract

Summary This article investigates an adaptive fuzzy tracking control problem for a class of nontriangular form systems with asymmetric time‐varying full state constraints. Unknown functions are approximated by the fuzzy logic systems. A domination approach is employed to tackle the nontriangular form structure. Time‐varying asymmetric barrier Lyapunov functions (ABLFs) are adopted to ensure full‐state constraints satisfaction. Based on the backstepping technique and time‐varying ABLFs, an adaptive controller is proposed and guarantees that all the signals in the closed‐loop system are ultimately bounded and the time‐varying full state constraints are met. Simulation examples are presented to further demonstrate the effectiveness of the proposed approach.

Keywords:
Backstepping Control theory (sociology) Fuzzy logic State (computer science) Controller (irrigation) Fuzzy control system Bounded function Computer science Class (philosophy) Adaptive control Lyapunov function Control (management) Mathematical optimization Mathematics Nonlinear system Artificial intelligence Algorithm

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10
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1.03
FWCI (Field Weighted Citation Impact)
56
Refs
0.76
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Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering
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