Direct adaptive fuzzy control for a class of nonlinear discrete-time systems with time-varying dead-zone

Authors:
Guo Wencheng;Shi Wuxi;Guo Lijin
Affiliations:
School of Computer Technology and Automation, Tannin Polytechnic University, Tannin;School of Computer Technology and Automation, Tannin Polytechnic University, Tannin;School of Computer Technology and Automation, Tannin Polytechnic University, Tannin
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 7
Cited 1

Stable adaptive fuzzy controller with time-varying dead-zone

Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
Direct adaptive fuzzy output tracking control of nonlinear systems

Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Robust adaptive fuzzy controller for nonlinear system using estimation of bounds for approximation errors

Fuzzy Sets and Systems - Theme: Fuzzy control
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach

IEEE Transactions on Fuzzy Systems
Stable auto-tuning of adaptive fuzzy/neural controllers for nonlinear discrete-time systems

IEEE Transactions on Fuzzy Systems
Adaptive Fuzzy Logic Control of Feedback Linearizable Discrete-time Dynamical Systems Under Persistence of Excitation

Automatica (Journal of IFAC)
Adaptive fuzzy logic control of discrete-time dynamical systems

Automatica (Journal of IFAC)

Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems

International Journal of Artificial Life Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

A direct adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. In this scheme, the fuzzy logic system is used to design controller directly, and the parameters are adjusted by time-varying dead-zone, which its size is adjusted adaptively with the estimated bounds on the approximation error. The proposed design scheme guarantees that all the signals in the resulting closed-loop system are bounded, and the tracking error converges to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.