Tracking control of modified Lorenz nonlinear system using ZG neural dynamics with additive input or mixed inputs
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- 作者：Long Jina ; b ; c ; jinlongsysu@foxmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yunong Zhanga ; b ; c ; zhynong@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Tianjian Qiaoa ; b ; cAuthor Vitae ; Manchun TandAuthor Vitae ; Yinyan Zhanga ; b ; cAuthor Vitae
- 关键词：Tracking control ; Chaotic system ; Singularity conquering ; Zhang neural dynamics ; Gradient neural dynamics
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：5 July 2016
- 年：2016
- 卷：196
- 期：Complete
- 页码：82-94
- 全文大小：1421 K
文摘
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Tracking-control problems of chaotic systems are solved with singularities conquered.
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A new controller-design method termed ZG neural dynamics is constructed.
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The tracking-control problem of nonlinear systems with mixed inputs is handled.
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The tracking-error bounds and convergence rates of the controllers are proved.
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The ZG neural dynamics is applied to the control of other nonlinear systems.