典型文献
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control
文献摘要:
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.
文献关键词:
中图分类号:
作者姓名:
Mingming Ha;Ding Wang;Derong Liu
作者机构:
School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Faculty of Information Technology,the Beijing Key Laboratory of Computational Intelligence and Intelligent System,the Beijing Laboratory of Smart Environmental Protection,and the Beijing Institute of Artificial Intelligence,Beijing University of Technology,Beijing 100124,China;Department of Electrical and Computer Engineering,University of Illinois at Chicago,Chicago IL 60607 USA
文献出处:
引用格式:
[1]Mingming Ha;Ding Wang;Derong Liu-.Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control)[J].自动化学报(英文版),2022(07):1262-1272
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AB值:
0.631957
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