Adaptive consensus control of leader-follower multi-agent system with actuator deception attacks

Amit Anand, Dipayan Guha and Shubhi Purwar

Chaos, Solitons & Fractals, 2024, vol. 187, issue C

Abstract: This work proposes an adaptive distributed cooperative control framework for a multi-agent system (MAS) subjected to unknown disturbance inputs and actuator cyber-intrusions. A resilient model reference adaptive control (MRAC) framework augmented with a distributed disturbance observer (DOB) has been designed and integrated to achieve consensus in a MAS with fast mitigation of unpredictable cyber-threats. The proficiency and useability of the applied control algorithm have been tested on a second-order partially known linear dynamical system encompassing four followers with one leader under undeniable time-varying exogenous disturbance inputs. MAS framework has been set up with a direct communication topology for the leader and an undirected communication topology for follower agents. An in-depth stability analysis of the developed DOB-based MRAC of MAS has been performed and presented using the Lyapunov theorem. The mastery of the designed DOB-based MRAC consensus controller has been quantified by performing extensive comparative studies with reported approaches. The presented results reveal the excellence of the applied cyber-secure control methodology in achieving consensus swiftly among agents with improved steady-state accuracy, active damping of unknown disturbances, and excellent mitigation power.

Keywords: Actuator cyber-attacks; Disturbance observer; Leader-follower consensus; Model reference adaptive control; Multi-agent systems; Stability (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924008968

DOI: 10.1016/j.chaos.2024.115344

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