A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows

• Published in: IEEE access Vol. 8; pp. 227999 - 228008
• Main Authors: Zhang, Zhenhua, Peng, Shiguo, Chen, Tao
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Criteria; impulse time windows; Jitter; leader-following mean square consensus; Lower bounds; Mean square values; Multi-agent systems; Multiagent systems; randomly occurring nonlinearities; randomly occurring uncertainties; Stability criteria; Stochastic multi-agent systems; Stochastic processes; Uncertainty; Upper bound; Upper bounds; Vehicle dynamics; Windows (intervals)
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3045982

This paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related to ITWs is proposed, which is inspired by the average impulsive interval. Based on ALEI and Lyapunov stability theory, a unified mean square consensus criterion for both stabilizing and interference impulses is attained. The introduction of ALEI allows for a larger upper bound of left endpoint interval and smaller lower bound of left endpoint interval, which makes the preset of ITWs more flexible and less conservative. The validity of the theoretical results is verified by the numerical simulation.