Finite-Horizon H∞ Consensus Control of Discrete Time-Varying Multiagent Systems: A Dynamic Event-Based Learning Approach

• 成果类型: Article
• 署名作者: Zhang, Hao; Yan, Huaicheng; Qiu, Jianbin
• 署名单位: Harbin Institute of Technology; East China University of Science & Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3232988
• 发表日期: 2023
• 页码: 6270-6276
• 关键词: Discrete time-varying multiagent systems (MASs); dynamic event-based approach; finite-horizon H-infinity consensus; Riccati difference equation (RDE)

摘要

This article addresses the finite-horizon H-infinity consensus problem for general discrete time-varying multiagent systems with energy-bounded external disturbances and limited network bandwidth resource. A dynamic event-based learning approach is proposed to produce a dynamic discrete-time event-triggered scheme and a dynamic distributed H-infinity consensus protocol. Based on the local state information, the dynamic distributed H-infinity consensus protocol is developed to guarantee the H-infinity consensus of the general discrete time-varying multiagent systems with external disturbances. Besides, a novel criterion is established by employing the Lyapunov theory and considering the special dynamic triggering constraint, and the corresponding recursive learning algorithm is developed. In contrast with the previous works, the proposed dynamic event-based approach results in less network bandwidth utilization, and the novel recursive algorithm brings less conservatism of the designed controller. Finally, the effectiveness of the corresponding algorithm and the advantages of the proposed dynamic event-based approach are testified by a numerical simulation.