Distributed Adaptive Neural Control of Unknown Stochastic Nonlinear Multi-Agent Systems With Time-Varying Delays and Unknown Control Directions
Multi-agent systems (MASs) are widely applied in complex, uncertain environments. Yet, their distributed control faces significant challenges due to unknown agent nonlinearities, stochastic disturbances, time-varying (TV) communication delays, and unknown control directions (UCDs). Designing robust and efficient contro...