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Issue title: Some highlights on fuzzy systems and data mining
Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu
Article type: Research Article
Authors: Qian, Dianweia | Li, Chengdongb; *
Affiliations: [a] School of Control & Computer Engineering, North China Electric Power University, Beijing, China | [b] School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China
Correspondence: [*] Correspondence to: Chengdong Li, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China. Tel.: +86 0531 86361056; Fax: +86 0531 86361567; E-mail: [email protected].
Abstract: This paper addresses a control scheme for formation maneuvers of a group of robots. The control scheme integrates an integral sliding mode (ISM) controller and a fuzzy compensator. The formation mechanism is leader-follower. The robots suffers from uncertainties. Chained to the uncertainties, the formation dynamics become uncertain. The control scheme needs to resist the formation uncertainties, meanwhile, the robots has to be formed up. Concerning the formation uncertainties, they are assumed to be unknown but bounded. Since they challenge the formation control, the fuzzy compensator is utilized to approximate them where an ISM-based adaptive law is deduced from the stability analysis. In the sense of Lyapunov, not only the convergence of the approximation error can be guaranteed, but also such a control scheme can asymptotically stabilize the formation system. Compared to the results by the sole ISM control, some numerical simulations are presented to demonstrate the feasibility and performance of the control scheme.
Keywords: Multiple robots, leader-follower mechanism, integral sliding mode control, fuzzy compensator, system stability
DOI: 10.3233/JIFS-169187
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 3021-3028, 2016
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