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Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine
Zhang GG(张桂刚)
Source PublicationSymmetry
2019
Volume11Issue:12Pages:1-19
Abstract

This paper addresses a second-order sliding mode control method for the formation problem of multirobot systems. The formation patterns are usually symmetrical. This sliding mode control is based on the super-twisting law. In many real-world applications, the robots suffer from a great diversity of uncertainties and disturbances that greatly challenge super-twisting sliding mode formation maneuvers. In particular, such a challenge has adverse effects on the formation performance when the uncertainties and disturbances have an unknown bound. This paper focuses on this issue and utilizes the technique of an extreme learning machine to meet this challenge. Within the leader–follower framework, this paper investigates the ntegration of the super-twisting sliding mode control method and the extreme learning machine. The output weights of this extreme learning machine are adaptively adjusted so that this integrated formation design has guaranteed closed-loop
stability in the sense of Lyaponov. In the end, some simulations are implemented via a multirobot platform, illustrating the superiority and effectiveness of the integrated formation design in spite of uncertainties and disturbances.

Keywordmultirobot systems formation maneuvers super-twisting sliding mode control
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/41476
Collection数字内容技术与服务研究中心_智能技术与系统工程
Recommended Citation
GB/T 7714
Zhang GG. Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine[J]. Symmetry,2019,11(12):1-19.
APA Zhang GG.(2019).Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine.Symmetry,11(12),1-19.
MLA Zhang GG."Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine".Symmetry 11.12(2019):1-19.
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