Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity
Memristive system with infinitely many equilibrium points has attracted much attention for the generation of extreme multistability, whose initial-dependent dynamics can be interpreted in a reduced-order model through incremental integral transformation of state variables. But, the memristive system...
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/8549472 |
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doaj-952fcbf2adaa4da28eb6d1492943baf42020-11-25T00:14:19ZengHindawi-WileyComplexity1076-27871099-05262019-01-01201910.1155/2019/85494728549472Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic NonlinearityMo Chen0Yang Feng1Han Bao2Bocheng Bao3Huagan Wu4Quan Xu5School of Information Science and Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Information Science and Engineering, Changzhou University, Changzhou 213164, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaSchool of Information Science and Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Information Science and Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Information Science and Engineering, Changzhou University, Changzhou 213164, ChinaMemristive system with infinitely many equilibrium points has attracted much attention for the generation of extreme multistability, whose initial-dependent dynamics can be interpreted in a reduced-order model through incremental integral transformation of state variables. But, the memristive system with any extra nonlinear terms besides the memristor ones cannot be handled directly using this method. In addition, the transformed state variables could be divergent due to the asymmetry of the original system. To solve these problems, a hybrid state variable incremental integral (HSVII) method is proposed in this paper. With this method, the extreme multistability in a four-dimensional (4D) memristive jerk system with cubic nonlinearity is successfully reconstituted in a three-dimensional (3D) model and the divergent state variables are eliminated through ingenious linear state variable mapping. Thus, mechanism analysis and physical control of the special extreme multistability can readily be performed. A hardware circuit is finally designed and fabricated, and the theoretical and numerical results are verified by the experimental measurements. It is demonstrated that this HSVII method is effective for the analysis of multistable system with high-order nonlinearities.http://dx.doi.org/10.1155/2019/8549472 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mo Chen Yang Feng Han Bao Bocheng Bao Huagan Wu Quan Xu |
spellingShingle |
Mo Chen Yang Feng Han Bao Bocheng Bao Huagan Wu Quan Xu Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity Complexity |
author_facet |
Mo Chen Yang Feng Han Bao Bocheng Bao Huagan Wu Quan Xu |
author_sort |
Mo Chen |
title |
Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity |
title_short |
Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity |
title_full |
Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity |
title_fullStr |
Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity |
title_full_unstemmed |
Hybrid State Variable Incremental Integral for Reconstructing Extreme Multistability in Memristive Jerk System with Cubic Nonlinearity |
title_sort |
hybrid state variable incremental integral for reconstructing extreme multistability in memristive jerk system with cubic nonlinearity |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2019-01-01 |
description |
Memristive system with infinitely many equilibrium points has attracted much attention for the generation of extreme multistability, whose initial-dependent dynamics can be interpreted in a reduced-order model through incremental integral transformation of state variables. But, the memristive system with any extra nonlinear terms besides the memristor ones cannot be handled directly using this method. In addition, the transformed state variables could be divergent due to the asymmetry of the original system. To solve these problems, a hybrid state variable incremental integral (HSVII) method is proposed in this paper. With this method, the extreme multistability in a four-dimensional (4D) memristive jerk system with cubic nonlinearity is successfully reconstituted in a three-dimensional (3D) model and the divergent state variables are eliminated through ingenious linear state variable mapping. Thus, mechanism analysis and physical control of the special extreme multistability can readily be performed. A hardware circuit is finally designed and fabricated, and the theoretical and numerical results are verified by the experimental measurements. It is demonstrated that this HSVII method is effective for the analysis of multistable system with high-order nonlinearities. |
url |
http://dx.doi.org/10.1155/2019/8549472 |
work_keys_str_mv |
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