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Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays
Liu, Kexin1; Lu, Jinhu2,3; Lin, Zongli4
2018-09-01
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X
Volume29Issue:9Pages:4447-4461
AbstractThis paper focuses on the construction of distributed observers in the presence of arbitrarily large communication time delays. In contrast with the traditional centralized observer with the ability to acquire full output of the plant, we design a set of distributed observers, each having access to partial output of the plant through a distributed sensor network. More specifically, each observer obtains partial plant output and communicates with its neighboring observers through consensus protocols. The communication among the network is subject to arbitrarily large time delays. We consider three representative network topologies and for each topology establish conditions to guarantee the observation error systems be exponentially stable. We also consider the design of a pinning synchronization problem as a dual problem of the design of distributed observers. Numerical simulation is carried out to verify the effectiveness of our theoretical analysis.
KeywordDistributed observers low-gain feedback multiagent systems (MASs) time delay
DOI10.1109/TNNLS.2017.2762421
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFB0800401] ; National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[61532020] ; National Natural Science Foundation of China[11472290] ; National Natural Science Foundation of China[61273105] ; U.S. Army Research Office[W911NF-17-1-0535] ; China Post-Doctoral Foundation[2016M600011]
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000443083700042
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/31165
Collection系统科学研究所
Affiliation1.Peking Univ, Coll Engn, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Virginia, Charles L Brown Dept Elect & Comp Engn, Charlottesville, VA USA
Recommended Citation
GB/T 7714
Liu, Kexin,Lu, Jinhu,Lin, Zongli. Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(9):4447-4461.
APA Liu, Kexin,Lu, Jinhu,&Lin, Zongli.(2018).Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(9),4447-4461.
MLA Liu, Kexin,et al."Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.9(2018):4447-4461.
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