2023/10/05 by Brooks A. Butler, Butler, Brooks A., Philip E. Paré +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Distributed Control Multi-Agent Systems #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Gene Regulatory Network Analysis #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2310.03289
openalex publication_date 2023/10/05 · openalex created_date 2023/10/09 · openalex updated_date 2026/07/28
As modern systems become ever more connected with complex dynamic coupling relationships, developing safe control methods becomes paramount. In this paper, we discuss the relationship of node-level safety definitions for individual agents with local neighborhood dynamics. We define a collaborative control barrier function (CCBF) and provide conditions under which sets defined by these functions will be forward invariant. We use collaborative node-level control barrier functions to construct a novel \editdecentralized algorithm for the safe control of collaborating network agents and provide conditions under which the algorithm is guaranteed to converge to a viable set of safe control actions for all agents. We illustrate these results on a networked susceptible-infected-susceptible (SIS) model.