Leader-following consensus of stochastic delayed multiagent systems with input saturation under self-triggered impulsive control
Source abstract
Abstract
In this study, we investigate the self-triggered impulsive control for stochastic delayed multiagent systems with input saturation. We present a novel self-triggered mechanism using a comparison system method. The next triggering instant is predicted on the basis of agent dynamics knowledge and data obtained from the last triggering instant without real-time monitoring; thus, Zeno behavior is naturally avoided. By applying this new self-triggering mechanism, we provide some sufficient conditions for the mean-square consensus based on the stochastic differential theory, Lyapunov function theory, and linear matrix inequalities. Finally, we demonstrate the feasibility of our method by presenting numerical simulation results.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Distributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation
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References (23)
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