Adaptive Neuro-Control of Distributed Parameter Multi-Agent Systems Under Actuator Failures

To address both actuator faults and system uncertainties in distributed parameter multi-agent systems, an adaptive fault-tolerant neuro-control scheme is proposed. The proposed controller enables precise deployment of distributed parameter multi-agent systems to desired target positions through, where the control parameters are systematically designed to guarantee asymptotic convergence. The stability of deployment errors for the distributed parameter multi-agent systems is rigorously established through Lyapunov analysis, while the effectiveness of the proposed algorithm is comprehensively verified via comparative numerical simulations.