Consensus tracking in multi agent system with nonlinear and non identical dynamics via event driven sliding modes
Abhinav Sinha, Rajiv Kumar Mishra

TL;DR
This paper presents an event-driven sliding mode control approach for leader-follower consensus in nonlinear multi-agent systems with non-identical dynamics, enhancing robustness and energy efficiency.
Contribution
It introduces a novel event-triggered sliding mode control scheme for nonlinear, heterogeneous multi-agent systems, combining finite-time consensus with energy-saving event triggering.
Findings
Effective consensus tracking demonstrated through numerical simulations.
Robustness maintained despite nonlinear and non-identical agent dynamics.
Significant reduction in control updates and energy consumption.
Abstract
In this work, leader follower consensus objective has been addressed with the synthesis of an event based controller utilizing sliding mode robust control. The schema has been partitioned into two parts viz. finite time consensus problem and event triggered control mechanism. A nonlinear multi agent system with non identical dynamics has been put forward to illustrate the robust capabilities of the proposed control. The first part incorporates matching of states of the followers with those of the leader via consensus tracking algorithm. In the subsequent part, an event triggered rule is devised to save computational power and restrict periodic updating of the controller involved while ensuring desired closed loop performance of the system. Switching of the event based controller is achieved via sliding mode control. Advantage of using switched controller like sliding mode is that it…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Nonlinear Dynamics and Pattern Formation
