NDLI: Decentralized adaptive tracking with one-step-guess estimator

Content Provider	IEEE Xplore Digital Library
Author	Lihua Rong Hongbin Ma Chenguang Yang Meiling Wang
Copyright Year	2011
Description	Author affiliation: School of Computing and Mathematics, University of Plymouth, PL4 8AA, United Kingdom (Chenguang Yang) \|\| School of Automation, Beijing Institution of Technology, 100081, China (Lihua Rong; Hongbin Ma; Meiling Wang)
Abstract	Decentralized adaptive tracking problem for a simple yet typical discrete-time multi-agent system is investigated, where each agent is affected by its neighborhood agents with unknown interaction strength. In this paper, for the purpose of decentralized adaptive tracking, all agents are supposed to be smart enough with limited intelligence such that they can adopt the most simple one-step-guess (OSG) algorithm to estimate the unknown interaction strength and then design local adaptive controllers with the certainty-equivalence principle. The whole closed-loop system is shown to be rather complex and it has been shown that, under some mild conditions, the closed-loop stability is established in the case of bounded noise, while asymptotic tracking can be established in the case of diminishing noise. Extensive simulations verified correctness of theoretical results.
Starting Page	1320
Ending Page	1325
File Size	229147
Page Count	6
File Format	PDF
ISBN	9781457714757
ISSN	19483449
e-ISBN	9781457714764
DOI	10.1109/ICCA.2011.6138034
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-19
Publisher Place	Chile
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Multiagent systems Adaptive control Algorithm design and analysis Simulation Adaptation models
Content Type	Text
Resource Type	Article

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