Event-triggered Global Adaptive Dynamic Programming for Multi-agent Consistency

An algorithm based on event-triggered global adaptive dynamic programming is proposed for optimal control of multi-agent system consistency. The algorithm converts the multi-agent problem of consistency control to solving the Hamilton-Jacobi-Bellman equation of the optimal solution, and a method of the sum of squares iteration is used to calculate the optimal control strategy. The process of appro...