Optimal Output Consensus for Nonlinear Multiagent Systems With Both Static and Dynamic Uncertainties

• 成果类型: Article
• 署名作者: Tang, Yutao; Wang, Xinghu
• 署名单位: Beijing University of Posts & Telecommunications; Chinese Academy of Sciences; University of Science & Technology of China, CAS
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.2996978
• 发表日期: 2021
• 页码: 1733-1740
• 关键词: uncertainty; Multi-agent systems; cost function; asymptotic stability; trajectory; nonlinear dynamical systems; Adaptive control; distributed optimization; multiagent system; optimal output consensus; uncertainties

摘要

In this article, we investigate an optimal output consensus problem for heterogeneous uncertain nonlinear multiagent systems. The considered agents are described by high-order nonlinear dynamics subject to both static and dynamic uncertainties. A two-step design, comprising sequential constructions of optimal signal generator and distributed partial stabilization feedback controller, is developed to overcome the difficulties brought by nonlinearities, uncertainties, and optimal requirements. This article can not only assure an output consensus, but also achieve an optimal agreement characterized by a distributed optimization problem.