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

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  • Anand, Amit
  • Guha, Dipayan
  • Purwar, Shubhi

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.

Suggested Citation

  • Anand, Amit & Guha, Dipayan & Purwar, Shubhi, 2024. "Adaptive consensus control of leader-follower multi-agent system with actuator deception attacks," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924008968
    DOI: 10.1016/j.chaos.2024.115344
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    References listed on IDEAS

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    1. Arockia Samy, Stephen & Anbalagan, Pratap, 2023. "Disturbance observer-based integral sliding-mode control design for leader-following consensus of multi-agent systems and its application to car-following model," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    2. Wei Zhao & Li Tang & Yan-Jun Liu, 2020. "Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints," Complexity, Hindawi, vol. 2020, pages 1-12, November.
    3. Zhang, Sen & Wang, Xin & Zhou, Yuhao, 2023. "Model-based neuroadaptive event-triggered tracking consensus control for nonlinear multiagent systems with input delay," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    4. Xiaogang Yang & Mengxing Huang & Yuanyuan Wu & Siling Feng, 2023. "Observer-Based PID Control Protocol of Positive Multi-Agent Systems," Mathematics, MDPI, vol. 11(2), pages 1-23, January.
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