A Distributed Indirect Adaptive Approach to Cooperative Tracking in Networks of Uncertain Single-Input Single-Output Systems

• 成果类型: Article
• 署名作者: Baldi, Simone; Azzollini, Ilario A.; Ioannou, Petros A.
• 署名单位: Southeast University - China; Delft University of Technology; University of Bologna; University of Southern California
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3038742
• 发表日期: 2021
• 页码: 4844-4851
• 关键词: Harmonic analysis; Adaptive systems; observers; Laplace equations; estimation; uncertainty; system dynamics; Adaptive control; cooperative tracking; leader and followers uncertain parameters

摘要

Current approaches to the cooperative control of network systems are based on a priori knowledge about the (follower) system dynamics: either the dynamics are known, or assumed to be minimum phase, or initial stabilizing controllers are available for each system. The purpose of this article is to show that for single-input single-output systems (SISO) the above assumptions can be relaxed. We propose an indirect adaptive methodology that does not require the knowledge of the parameters of the systems, or the systems to be minimum phase, or initial stabilizing controllers, in order to guarantee asymptotic tracking.