An Adaptive Distributed Observer for a Class of Uncertain Linear Leader Systems Over Jointly Connected Switching Networks and Its Application

The early results on the adaptive distributed observer for uncertain leader systems have three limitations. The adaptive distributed observer is state-based, the communications among the follower subsystems are undirected, and the communication network is static. Despite years of efforts, these issu...

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Bibliographic Details
Published in:IEEE transactions on automatic control 2024-11, Vol.69 (11), p.7340-7355
Main Authors: Liu, Tao, Wang, Shimin, Huang, Jie Huang
Format: Article
Language:English
Subjects:
Adaptive distributed observer (ADO)
Adaptive systems
agents and autonomous systems
Communication networks
cooperative control
Decentralized control
Linear systems
Multi-agent systems
Multiagent systems
Networks
Observers
Parameter estimation
Regulation
Subsystems
Switches
switching graphs
Vectors
Citations: Items that this one cites
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Summary:The early results on the adaptive distributed observer for uncertain leader systems have three limitations. The adaptive distributed observer is state-based, the communications among the follower subsystems are undirected, and the communication network is static. Despite years of efforts, these issues have not been fully addressed. In this article, we develop an output-based adaptive distributed observer for a class of uncertain linear leader systems over jointly connected switching networks. Our design consists of two steps. First, we develop an exponentially convergent estimator to estimate both the state and the unknown parameter vector of the leader system. Second, we design a state-based adaptive distributed observer for the exponentially convergent estimator over jointly connected switching networks. It turns out that such a two-step design overcomes all the three obstacles. As an application, we solve the cooperative output regulation problem for linear multiagent systems subject to an uncertain leader system.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2024.3388295