Three-Stage-Impulse Control of Memristor-Based Chen Hyper-Chaotic System

Xianyang Xie, Shiping Wen, Yuming Feng () and Babatunde Oluwaseun Onasanya
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Xianyang Xie: School of Electronic and Information Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China
Shiping Wen: Australian AI Institute, University of Technology Sydney, Ultimo, NSW 2007, Australia
Yuming Feng: Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China
Babatunde Oluwaseun Onasanya: Department of Mathematics, University of Ibadan, Ibadan 200005, Nigeria

Mathematics, 2022, vol. 10, issue 23, 1-16

Abstract: In this paper, on the basis of the three-dimensional Chen system, a smooth continuous nonlinear flux-controlled memristor model is used as the positive feedback term of this system, a hyper-chaotic circuit system is successfully constructed, and a simulated equivalent circuit is built for simulation using Multisim software, which agrees with the numerical simulation results by comparison. Meanwhile, a new impulsive control mode called the three-stage-impulse is put forward. It is a cyclic system with three components: continuous inputs are exerted in the first and third parts of the cycle while giving no input in the second part of the cycle, an impulse is exerted at the end of each continuous subsystem, the controller is simple in structure and effective in stabilizing most existing nonlinear systems. The Chen hyper-chaotic system will be controlled based on the three-stage-impulse control method combined with the Lyapunov stability principle. At the end of this paper, we have employed and simulated a numerical example; the experimental results show that the controller is effective for controlling and stabilizing the newly designed hyper-chaotic system.

Keywords: memristor; hyper-chaotic system; three-stage-impulse; exponential stabilization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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