Title: Chaos synchronization and chaos control of quantum-CNN chaotic system by variable structure control and impulse control
Authors: Yang, Cheng-Hsiung
Ge, Zheng-Ming
Chang, Ching-Ming
Li, Shih-Yu
機械工程學系
Department of Mechanical Engineering
Keywords: Quantum Cellular Neural Network (Quantum-CNN);Chaos synchronization;Chaos control
Issue Date: 1-Jun-2010
Abstract: In this paper, we derive some less stringent conditions for the exponential and asymptotic stability of impulsive control systems with impulses at fixed times These conditions are then used to design an impulsive control law for the Quantum Cellular Neural Network chaotic system, which drives the chaotic state to zero equilibrium and synchronizes two chaotic systems. An active sliding mode control method is synchronizing two chaotic systems and controlling chaotic state to periodic motion state And a sufficient condition is drawn for the robust stability of the error dynamics, and is applied to guiding the design of the controllers. Finally, numerical results are used to show the robustness and effectiveness of the proposed control strategy. (C) 2010 Published by Elsevier Ltd
URI: http://dx.doi.org/10.1016/j.nonrwa.2009.04.019
http://hdl.handle.net/11536/5367
ISSN: 1468-1218
DOI: 10.1016/j.nonrwa.2009.04.019
Journal: NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
Volume: 11
Issue: 3
Begin Page: 1977
End Page: 1985
Appears in Collections:Articles


Files in This Item:

  1. 000278768800071.pdf