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Article type: Research Article
Authors: Huang, Qingmin; | Chen, Ye-Hwa | Zhong, Zhihua
Affiliations: The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, PR China | The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Note: [] Ph.D. candidate, currently visiting the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Note: [] Corresponding author. Ye-Hwa Chen, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. Fax: +1 404 894 9342; voice: +1 404 894 3210; E-mail: [email protected]
Abstract: The problem of motion control for constraint-following for uncertain mechanical systems is considered. The uncertainty in the system is (possibly) fast time-varying but is assumed to be bounded. Based on a fuzzy description of the uncertainty bound, we propose an adaptive robust control. The control is deterministic and is not if-then rule-based. An optimal design problem associated with the control is formulated, which allows us to choose the optimal gain for the adaptive law. The performance of the resulting controlled system is both deterministically guaranteed and fuzzily-optimized.
Keywords: Mechanical system, constraint, adaptive robust control, optimal design
DOI: 10.3233/IFS-130944
Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 6, pp. 2755-2769, 2014
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