1 results about "Nonlinear approximation" patented technology

The application discloses a kind of nonlinear system dynamic event triggering optimization control methods of reinforcement learning, it is related to triggering tracking control field, comprising the following steps: step S1, establish nonlinear multi-agent system model;Step S2, construct double-layer MLP nonlinear approximation model;Step S3, design consensus reinforcement learning control law;Step S4, design dynamic event triggering mechanism;Step S5, design weight update law and verify stability.The application adopts the nonlinear system dynamic event triggering optimization control method of reinforcement learning described above, while significantly saving communication and computing resources by using adaptive dynamic event triggering mechanism, the optimal control performance of the system is realized;Closed-loop system stability is strictly guaranteed, and Zeno behavior is effectively excluded, the effectiveness of the proposed strategy is verified by numerical testing on a multi-motor system.