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Stabilization of a memristor-based chaotic system by intermittent control and fuzzy processing

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Abstract

This paper further investigates the problem of intermittent control of a memristor-based Chua’s oscillator and presents the oscillator as the T-S fuzzy model system. Based on Lyapunov stability theory, we design an intermittent controller to guarantee the stability of the chaotic system. Simulation results are presented to verify the effectiveness of the method.

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Authors and Affiliations

  1. College of Computer Science, Chongqing University, Chongqing, China

    Junjian Huang, Chuandong Li & Xing He

  2. Department of Computer Science, Chonqing University of Education, Chongqing, China

    Junjian Huang

Authors
  1. Junjian Huang
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  2. Chuandong Li
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  3. Xing He
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Corresponding author

Correspondence to Junjian Huang.

Additional information

Recommended by Editorial Board member Euntai Kim under the direction of Editor Hyungbo Shim.

The work described in this paper was partially supported by NSFC (Grant No. 60974020) and Natural Science Foundation Project of CQ CSTC (Grant No. cstc2011jjA40005), the Foundation of Chongqing Education Committee (Grant No. KJ121505), and the Foundation of Chongqing Education College (Grant No. KY201112A).

Junjian Huang received his B.S. degree in Chongqing Communication Institute, Chongqing, China in 2002, and he is studying for Ph.D. degree for Computer Science and Technology at Chongqing University, China. He has been an Associate Professor at Chongqing University of Education, China, since 2007. His current research interest covers neural networks, memristive systems, intermittent control and synchronization.

Chuandong Li received his B.S. degree in Applied Mathematics from Sichuan University, China in 1992, and an M.S. degree in operational research and control theory and a Ph.D. degree in Computer Software and Theory from Chongqing University, China, in 2001 and in 2005, respectively. He has been a Professor at the College of Computer Science, Chongqing University, China, since 2007. His current research interest covers computational intelligence, neural networks, memristive systems, chaos control and synchronization, and impulsive dynamical systems.

Xing He received his B.S. degree in Mathematics and Applied Mathematics from the Department of Mathematics, Guizhou University, China, in 2009. Currently, he is working towards a Ph.D. degree with the College of Computer science, Chongqing University, China. From November 2012 to October 2013, he was a Research Assistant with the Department of Mathematics and Science, Texas A&M University at Qatar, Doha, Qatar. His research interests include neural network, bifurcation theory, optimization method and nonlinear dynamical system.

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Huang, J., Li, C. & He, X. Stabilization of a memristor-based chaotic system by intermittent control and fuzzy processing. Int. J. Control Autom. Syst. 11, 643–647 (2013). https://doi.org/10.1007/s12555-012-9323-x

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  • DOI: https://doi.org/10.1007/s12555-012-9323-x

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