Hamiltonian-Driven Hybrid Adaptive Dynamic Programming
Hamiltonian-Driven Hybrid Adaptive Dynamic Programming
复制标题
哈密顿驱动的混合自适应动态规划
DOI:
10.1109/tsmc.2019.2962103
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发表时间:
2020-01
期刊:
影响因子:
--
通讯作者:
Donald C. Wunsch
中科院分区:
文献类型:
--
作者:
Yongliang Yang;Kyriakos G. Vamvoudakis;Hamidreza Modares;Yixin Yin;Donald C. Wunsch
This article presents a model-based hybrid adaptive dynamic programming (ADP) framework consisting of continuous feedback-based policy evaluation and policy improvement steps as well as an intermittent policy implementation procedure. This results in an intermittent ADP with a quantifiable performance and guaranteed closed-loop stability of the equilibrium point. To investigate the effect of aperiodic sampling on the communication bandwidth and the control performance of the intermittent ADP algorithms, we use a Hamiltonian-driven unified framework. With such a framework, it is shown that there is a tradeoff between the communication burden and the control performance. We finally show that the developed policies exhibit Zeno-free behaviors. Simulation examples show the efficiency of the proposed framework along with quantifiable comparisons of the policies with different intermittent information.
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DOI:
10.1109/jas.2014.7004686
发表时间:
2014-07
期刊:
IEEE/CAA Journal of Automatica Sinica
影响因子:
--
作者:
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通讯作者:
K. Vamvoudakis
DOI:
10.1007/978-3-030-78731-8_5
发表时间:
2021-11
期刊:
Advanced Textbooks in Control and Signal Processing
影响因子:
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作者:
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通讯作者:
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DOI:
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发表时间:
2018
期刊:
Autom.
影响因子:
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作者:
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通讯作者:
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DOI:
10.1109/tnnls.2017.2654324
发表时间:
2017-02
影响因子:
10.4
作者:
Yongliang Yang;D. Wunsch;Yixin Yin
通讯作者:
Yongliang Yang;D. Wunsch;Yixin Yin
DOI:
10.2307/j.ctvcm4g0s
发表时间:
2012-01
期刊:
--
影响因子:
--
作者:
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通讯作者:
D. Liberzon