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2篇 您的检索式：作者名="Mingming Ha"

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		题名	作者	年代	出处	被引量
	1	Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control显示文摘The core task of tracking control is to make the controlled plant track a desired trajectory.The traditional performance index used in previous studies cannot eliminate completely the tracking error as the number of time steps increases.In this paper,a new cost function is introduced to develop the value-iteration-based adaptive critic framework to solve the tracking control problem.Unlike the regulator problem,the iterative value function of tracking control problem cannot be regarded as a Lyapunov function.A novel stability analysis method is developed to guarantee that the tracking error converges to zero.The discounted iterative scheme under the new cost function for the special case of linear systems is elaborated.Finally,the tracking performance of the present scheme is demonstrated by numerical results and compared with those of the traditional approaches.	Mingming Ha Ding Wang Derong Liu	2022	IEEE/CAA Journal of Automatica Sinica2022，9，7：	2
	2	State of the Art of Adaptive Dynamic Programming and Reinforcement Learning显示文摘This article introduces the state-of-the-art development of adaptive dynamic programming and reinforcement learning(ADPRL).First,algorithms in reinforcement learning(RL)are introduced and their roots in dynamic programming are illustrated.Adaptive dynamic programming(ADP)is then introduced following a brief discussion of dynamic programming.Researchers in ADP and RL have enjoyed the fast developments of the past decade from algorithms,to convergence and optimality analyses,and to stability results.Several key steps in the recent theoretical developments of ADPRL are mentioned with some future perspectives.In particular,convergence and optimality results of value iteration and policy iteration are reviewed,followed by an introduction to the most recent results on stability analysis of value iteration algorithms.	Derong Liu Mingming Ha Shan Xue	2022	CAAI Artificial Intelligence Research2022，1，2：	0

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