Finite-Time Distributed Identification for Nonlinear Interconnected Systems

doi:10.1109/JAS.2022.105683

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Finite-Time Distributed Identification for Nonlinear Interconnected Systems
	Farzaneh Tatari; Hamidreza Modares; Christos Panayiotou; Marios Polycarpou
刊名	IEEE/CAA Journal of Automatica Sinica
	2022
卷号	9 期号:7 页码:1188-1199
关键词	Distributed concurrent learning finite-time identification nonlinear interconnected systems unknown dynamics
ISSN号	2329-9266
DOI	10.1109/JAS.2022.105683
英文摘要	In this paper, a novel finite-time distributed identification method is introduced for nonlinear interconnected systems. A distributed concurrent learning-based discontinuous gradient descent update law is presented to learn uncertain interconnected subsystems’ dynamics. The concurrent learning approach continually minimizes the identification error for a batch of previously recorded data collected from each subsystem as well as its neighboring subsystems. The state information of neighboring interconnected subsystems is acquired through direct communication. The overall update laws for all subsystems form coupled continuous-time gradient flow dynamics for which finite-time Lyapunov stability analysis is performed. As a byproduct of this Lyapunov analysis, easy-to-check rank conditions on data stored in the distributed memories of subsystems are obtained, under which finite-time stability of the distributed identifier is guaranteed. These rank conditions replace the restrictive persistence of excitation (PE) conditions which are hard and even impossible to achieve and verify for interconnected subsystems. Finally, simulation results verify the effectiveness of the presented distributed method in comparison with the other methods.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/48897]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Farzaneh Tatari,Hamidreza Modares,Christos Panayiotou,et al. Finite-Time Distributed Identification for Nonlinear Interconnected Systems[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(7):1188-1199.
APA	Farzaneh Tatari,Hamidreza Modares,Christos Panayiotou,&Marios Polycarpou.(2022).Finite-Time Distributed Identification for Nonlinear Interconnected Systems.IEEE/CAA Journal of Automatica Sinica,9(7),1188-1199.
MLA	Farzaneh Tatari,et al."Finite-Time Distributed Identification for Nonlinear Interconnected Systems".IEEE/CAA Journal of Automatica Sinica 9.7(2022):1188-1199.