An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems-Reference-Cited by-同舟云学术

An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems

Published:2017-09 Issue:13 Volume:354 Page:5280-5301
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Han Kezhen,Feng Jian^ORCID,Yao Yu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference36 articles.

1. Reinforcement learning algorithms with function approximation: recent advances and applications;Xu;Inf. Sci.,2014

2. Linear quadratic tracking control of partially-unknown continuous-time systems using reinforcement learning;Modares;IEEE Trans. Autom. Control,2014

3. Optimal Control Theory with Economic Applications;Seierstad,1987

4. Optimal Control;Lewis,2012

5. Adaptive dynamic programming and adaptive optimal output regulation of linear systems;Gao;IEEE Trans. Autom. Control,2016

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