Premium
Optimal scheduling and control for constrained multi‐agent networked control systems
Author(s) -
Bahraini Masoud,
Za Mario,
Colombo Alessandro,
Falcone Paolo
Publication year - 2021
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2777
Subject(s) - heuristics , reachability , computer science , mathematical optimization , scheduling (production processes) , schedule , model predictive control , distributed computing , optimal control , job shop scheduling , integer programming , gain scheduling , control theory (sociology) , control (management) , mathematics , theoretical computer science , artificial intelligence , operating system
Abstract In this paper, we study optimal control and communication schedule co‐design for multi‐agent networked control systems, with assuming shared parallel communication channels and uncertain constrained linear time‐invariant discrete‐time systems. To that end, we specify the communication demand for each system using an associated robust control invariant set and reachability analysis. We use these communication demands and invariant sets to formulate tube‐based model predictive control and offline/online communication schedule co‐design problems. Since the scheduling part includes an infinite dimension integer problem, we propose heuristics to find suboptimal solutions that guarantee robust constraints satisfaction and recursive feasibility. The effectiveness of our approach is illustrated through numerical simulations.