Direct Data-Driven Control of Linear Time-Varying Systems

• 成果类型: Article
• 署名作者: Nortmann, Benita; Mylvaganam, Thulasi
• 署名单位: Imperial College London; Imperial College London
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3276909
• 发表日期: 2023
• 页码: 4888-4895
• 关键词: data-driven control; linear time-varying (LTV) sys-tems; Linear matrix inequalities (LMIs); optimal control; robust con-trol

摘要

Considering discrete-time linear time-varying systems with unknown dynamics, controllers guaranteeing bounded closed-loop trajectories, optimal performance, and robustness to process and measurement noise are designed via convex feasibility and optimization problems involving purely data-dependent linear matrix inequalities. For the special case of periodically time-varying systems, infinite-horizon guarantees are achieved based on finite-length data sequences.