Abstract
The leader-follower consensus of linear multi-agent systems was investigated. An event-triggered adaptive dynamic programming method was proposed based on the undirected graph formed by means of the communication topology among agents, and the approximate optimal control was designed with the approximate properties of neural networks. According to the Lyapunov stability theorem, the stability of multi-agent error systems was analyzed, and a sufficient condition for the ultimate boundedness of the error system was found. Finally, numerical simulation results further verify the effectiveness of the theoretical analysis.
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