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Approximate optimal trajectory tracking for continuous-time nonlinear systems
DOI:10.1016/j.automatica.2014.10.103.png)
摘要
En 中文
Adaptive dynamic programming has been investigated and used as a method to approximately solve optimal regulation problems. However, the extension of this technique to optimal tracking problems for continuous-time nonlinear systems has remained a non-trivial open problem. The control development in this paper guarantees ultimately bounded tracking of a desired trajectory, while also ensuring that the enacted controller approximates the optimal controller.(C) 2014 Elsevier Ltd. All rights reserved.
Keyword:
Time-varying systems
Optimal control
Adaptive control
Tracking applications
Actor-critic
AI总结
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期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
引用论文
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AUTOMATICA
IF5.9
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach基于自适应动态规划方法的一类离散时间非线性系统的有限水平神经最优跟踪控制
NEUROCOMPUTING
IF6.5


