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SCIENCE CHINA Information Sciences, Volume 60, Issue 5: 058201(2017) https://doi.org/10.1007/s11432-016-9022-1

Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism

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  • ReceivedOct 22, 2016
  • AcceptedNov 29, 2016
  • PublishedMar 17, 2017

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61233001, 61273140, 61304018, 61304086, 61533017, U1501251), Beijing Natural Science Foundation (Grant No. 4162065), Tianjin Natural Science Foundation (Grant No. 14JCQNJC05400), Early Career Development Award of SKLMCCS, and Research Fund of Tianjin Key Laboratory of Process Measurement and Control (Grant No. TKLPMC-201612).

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