Adaptive consensus control with online attack estimation for second-order nonlinear multi-agent systems under deception attacks
A resilient adaptive control strategy for achieving consensus in second-order nonlinear multi-agent systems subject to deception attacks is developed using Lyapunov stability theory, which also guarantees convergence of all follower agents to the leader’s trajectory despite the presence of attack.