Design of observer-based integral adaptive fuzzy sliding mode controllers for a class of uncertain nonlinear systems

Authors:
Kai-Shiuan Shih;Tzuu-Hseng S. Li
Affiliations:
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.;Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 11
Cited 0

Linear time-varying systems: control and adaptation

Linear time-varying systems: control and adaptation
Adaptive fuzzy systems and control: design and stability analysis

Adaptive fuzzy systems and control: design and stability analysis
Robust self-learning fuzzy controller design for a class of nonlinear MIMO systems

Fuzzy Sets and Systems
Stable adaptive control of fuzzy dynamic systems

Fuzzy Sets and Systems - Modeling and control
Observer-based adaptive fuzzy-neural control for unknown nonlineardynamical systems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
H∞ tracking-based sliding mode control foruncertain nonlinear systems via an adaptive fuzzy-neural approach

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents

IEEE Transactions on Fuzzy Systems
Stability analysis of nonlinear multivariable Takagi-Sugeno fuzzy control systems

IEEE Transactions on Fuzzy Systems
Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems

IEEE Transactions on Fuzzy Systems
Stable fuzzy neural tracking control of a class of unknown nonlinear systems based on fuzzy hierarchy error approach

IEEE Transactions on Fuzzy Systems
Nonlinear adaptive trajectory tracking using dynamic neural networks

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

The observer-based integral adaptive fuzzy sliding mode controllers are developed for a class of uncertain nonlinear systems. By designing the state observer, the fuzzy systems, which are used to approach any unknown functions, it can be constructed using the state observer-based estimations. Based on Lyapunov stability theorem, the proposed integral adaptive fuzzy sliding mode control system can guarantee the stability of the whole closed-loop systems and obtain good tracking performance as well. The proposed methods are applied to an inverted pendulum system achieve satisfactory simulation results.