Fuzzy sliding mode tracking control for a class of uncertain nonlinear systems

Authors:
Jinping Wang;Yanhua Wang;Xiqin He;Shengjuan Huang
Affiliations:
Institute of Applied Mathematics, University of Science and Technology Liaoning, Liaoning, China;Institute of Applied Mathematics, University of Science and Technology Liaoning, Liaoning, China;Institute of Applied Mathematics, University of Science and Technology Liaoning, Liaoning, China;Institute of Applied Mathematics, University of Science and Technology Liaoning, Liaoning, China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

Citing 9
Cited 0

Adaptive fuzzy systems and control: design and stability analysis

Adaptive fuzzy systems and control: design and stability analysis
An approach to fuzzy control of nonlinear systems: stability and design issues

IEEE Transactions on Fuzzy Systems
Robustness design of nonlinear dynamic systems via fuzzy linear control

IEEE Transactions on Fuzzy Systems
A stable adaptive fuzzy sliding-mode control for affine nonlinear systems with application to four-bar linkage systems

IEEE Transactions on Fuzzy Systems
Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model

IEEE Transactions on Fuzzy Systems
Fuzzy linear pulse-transfer function-based sliding-mode control for nonlinear discrete-time systems

IEEE Transactions on Fuzzy Systems
Output tracking control of MIMO fuzzy nonlinear systems using variable structure control approach

IEEE Transactions on Fuzzy Systems
Fuzzy adaptive sliding-mode control for MIMO nonlinear systems

IEEE Transactions on Fuzzy Systems
Stabilization of uncertain fuzzy time-delay systems via variable structure control approach

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A class of T-S fuzzy models with parameter perturbations, input and external disturbances is studied in this paper. Both the case of matched uncertainties and the case of mismatched uncertain- ties are investigated using variable structure control technique and LMI method. Firstly, we study the problem of stabilization of T-S fuzzy systems by using a variable structure controller. Secondly, for the given reference model, we design another variable structure controller such that the system output tracks the reference system output in a finite time interval. Finally, the simulation example is employed to illustrate the validity and effectiveness of the proposed method.