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Formation Control with Dynamic Non-Autonomous Leader Using Sampled-Data Event-Triggered Communication

Zipeng Huang, Ya‐Jun Pan, Robert Bauer

Year
2021
Citations
2

Abstract

This paper addresses the distributed formation tracking control for general linear multi-agent systems with a dynamic non-autonomous leader in a sampled-data setting. First, a novel locally-computable state-estimate-based event-generator is proposed for each follower agent to regulate and reduce unnecessary data transmissions. Second, a distributed formation protocol is proposed that only uses the triggered sampled information such that the formation tracking problem can be formulated as a stability analysis problem of the closed-loop formation error dynamics. Sufficient conditions in the form of linear matrix inequalities (LMIs) that guarantee the coexistence of a valid formation controller and an event-triggered communication mechanism are then derived using Lyapunov-based stability analysis methods. Finally, numerical simulations for multiple mobile robots formations were conducted to demonstrate the effectiveness and advantages of the proposed method.

Keywords

Control theory (sociology)Computer scienceController (irrigation)Mobile robotStability (learning theory)Lyapunov functionState (computer science)Tracking (education)Control (management)Event (particle physics)

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