连续时间系统混合迭代鲁棒自适应评判控制OA

By integrating a hybrid iteration mechanism with an adaptive critic framework,a robust control method is designed for disturbed continuous-time nonlinear systems.The goal of accelerating learning and relaxing preset conditions are achieved by improving the traditional value iteration method.By incorporating adjustable paramet-ers,the admissibility of the control policy during the iteration process is ensured,thereby relaxing the conditions for setting the accelerated factor.Combined the idea of generalized policy iteration,a novel hybrid iteration mechan-ism is constructed to acquire better convergence performance.Finally,two simulation examples are used to verify the performance of the proposed method.The simulation results of the linear system show the higher convergence accuracy of the method in this paper.In the simulation of the missile autopilot system,it is demonstrated that the convergence speed is improved by approximately 49%without relying on an initial admissible control policy com-pared to value iteration method.