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

• Published in: IEEE transactions on automatic control Vol. 69; no. 11; pp. 7340 - 7355
• Main Authors: Liu, Tao, Wang, Shimin, Huang, Jie Huang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• 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
• ISSN: 0018-9286; 1558-2523
• DOI: 10.1109/TAC.2024.3388295

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.