Published September 10, 2012 | Version v1
Journal article

Adaptive synchronization of memristor-based Chua's circuits

  • 1. Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074 (China)
  • 2. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China)
  • 3. Texas A and M University at Qatar, Doha 5825 (Qatar)

Description

In this Letter, a memristor-based Chua's system is presented, and the chaotic behavior of this system is demonstrated by phase portraits. This Letter also deals with the problem of adaptive synchronization control of this chaotic system using the drive–response concept, and presents an adaptive control scheme for the synchronization of memristor-based Chua's circuit, when the parameters of the drive system are fully unknown and different with those of the response system. The sufficient condition for the adaptive synchronization has been analyzed. Moreover, the controller design method is further extended to more general cases, where the physical plant contains parameter uncertainties, represented in either polytopic or structured frameworks. Numerical simulations are used to demonstrate these results. -- Highlights: ► In this Letter, a memristor-based Chua's system is presented, and the chaotic behavior of this system is demonstrated by phase portraits. ► Presents an adaptive control scheme for the synchronization of memristor-based Chua's circuit. ► The parameters of the drive system are fully unknown and different with those of the response system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.physleta.2012.08.021

Additional details

Identifiers

DOI
10.1016/j.physleta.2012.08.021;
PII
S0375-9601(12)00921-8;

Publishing Information

Journal Title
Physics Letters. A
Journal Volume
376
Journal Issue
44
Journal Page Range
p. 2775-2780
ISSN
0375-9601
CODEN
PYLAAG

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45069758
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CHAOS THEORY; COMPUTERIZED SIMULATION; CONTROL; DESIGN; SYNCHRONIZATION
Descriptors DEC
MATHEMATICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.