scispace - formally typeset
Journal ArticleDOI

Chattering-free fuzzy sliding-mode control strategy for uncertain chaotic systems

Her-Terng Yau, +1 more
- 01 Nov 2006 - 
- Vol. 30, Iss: 3, pp 709-718
Reads0
Chats0
TLDR
Simulation results show the FSMC not only can control the uncertain chaotic behaviors to a desired state without oscillator very fast, but also the switching function is smooth without chattering, implying that this strategy is feasible and effective for chaos control.
Abstract
This paper proposes a chattering-free fuzzy sliding-mode control (FSMC) strategy for uncertain chaotic systems. A fuzzy logic control is used to replace the discontinuous sign function of the reaching law in traditional sliding-mode control (SMC), and hence a control input without chattering is obtained in the chaotic systems with uncertainties. Base on the Lyapunov stability theory, we address the design schemes of integration fuzzy sliding-mode control, where the reaching law is proposed by a set of linguistic rules and the control input is chattering free. The Genesio chaotic system is used to test the proposed control strategy and the simulation results show the FSMC not only can control the uncertain chaotic behaviors to a desired state without oscillator very fast, but also the switching function is smooth without chattering. This result implies that this strategy is feasible and effective for chaos control.

read more

Citations
More filters
Journal ArticleDOI

Fuzzy fractional order sliding mode controller for nonlinear systems

TL;DR: To reduce the chattering phenomenon in sliding mode control (SMC), a fuzzy logic controller is used to replace the discontinuity in the signum function at the reaching phase in the sliding mode controller.
Journal ArticleDOI

Chattering-free fuzzy sliding mode control in MIMO uncertain systems

TL;DR: A new and feasible design algorithm is presented to synthesize a robust fuzzy sliding mode controller which can easily tackle the stabilizing and tracking problem of a class of MIMO nonlinear systems in the presence of uncertainties and external disturbance.
Journal ArticleDOI

Adaptive fuzzy sliding mode control using supervisory fuzzy control for 3 DOF planar robot manipulators

TL;DR: Simulation results that are compared with the results of conventional SMC with PID sliding surface indicate that the control performance of the robot system is satisfactory and the proposed AFSMC can achieve favorable tracking performance, and it is robust with regard to uncertainties and disturbances.
Journal ArticleDOI

Adaptive fuzzy sliding mode control scheme for uncertain systems

TL;DR: The main contribution of the proposed method is that the structure of the controlled system is partially unknown and does not require the bounds of uncertainty and disturbance of the system to be known; meanwhile, the chattering phenomenon that frequently appears in the conventional variable structure systems is also eliminated without deteriorating the system robustness.
Journal ArticleDOI

Chaos control and synchronization via a novel chatter free sliding mode control strategy

TL;DR: Simulation results indicate that this novel chatter free sliding mode control strategy is very effective to chaos control and synchronization.
References
More filters
Book

Applied Nonlinear Control

TL;DR: Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).
Book

Nonlinear Control Systems

TL;DR: In this paper, a systematic feedback design theory for solving the problems of asymptotic tracking and disturbance rejection for linear distributed parameter systems is presented, which is intended to support the development of flight controllers for increasing the high angle of attack or high agility capabilities of existing and future generations of aircraft.
Journal ArticleDOI

Variable structure systems with sliding modes

TL;DR: Design and analysis forVariable structure systems are surveyed in this paper and it is shown that advantageous properties result from changing structures according to this switching logic.
Journal ArticleDOI

Controlling chaos

Journal ArticleDOI

Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

TL;DR: A method for learning nonlinear systems, echo state networks (ESNs), which employ artificial recurrent neural networks in a way that has recently been proposed independently as a learning mechanism in biological brains is presented.