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Adaptive sliding mode control of chaotic dynamical systems with uncertainties via support vector machine
Cui Wanzhao ,Zhu Changchun
School of Electronics and Information Engineering, Xi’an Jiaotong University
*Correspondence author
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Funding: 国家自然科学基金,教育部博士点基金（No.60476037,60176020,60276037，20020698014）
Opened online:22 December 2005
Accepted by: none
Citation: Cui Wanzhao ,Zhu Changchun .Adaptive sliding mode control of chaotic dynamical systems with uncertainties via support vector machine[OL]. [22 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4575
 
 
Focusing on chattering from uncertainties of the control system, a novel hybrid methodology for the adaptive sliding mode control of chaotic dynamical systems with uncertainties is proposed based on the excellent identification abilities of support vector machine. Support vector machine is used to model uncertainties of the control system so that the uncertainties of the control system becomes small, and only an lower switching gain control law without chattering is needed. The method tested for the Duffing and Chua’s circuit system shows excellent performance.
Keywords:Adaptive control; Sliding mode control; Support vector machine; chaotic dynamical systems
 
 
 

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