A Sparsity Approach to Scheduling and Control of Networked Systems

• 成果类型: Article
• 署名作者: Dasgupta, Anubhab; Kundu, Atreyee
• 署名单位: Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kharagpur; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kharagpur
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3571664
• 发表日期: 2025
• 页码: 7032-7038
• 关键词: logic; communication networks; optimization; resource management; dynamic scheduling; vectors; Sufficient conditions; Heuristic algorithms; Vehicle dynamics; training; Control; networked systems; Scheduling; sparse optimization

摘要

We study the co-design of scheduling logic and control logic for networked control systems (NCSs) where plants communicate with their remotely located controllers over a shared band-limited communication network. Our key contribution is a new algorithm that co-designs (a) an allocation scheme of the communication network among the plants (scheduling logic) and (b) the control inputs for the plants accessing the network (control logic) under which given nonzero initial states are steered to zero in a given time horizon for all the plants in the NCS. Sparse optimization is the primary apparatus for our analysis. We also provide sufficient conditions on the plant dynamics, capacity of the communication network and the given time horizon that lead to a numerically tractable implementation of our algorithm. Numerical experiments are presented to demonstrate the proposed results.