H tracking control problem for completely unknown nonlinear system based on augmented matrix

Yongfeng Lv, Xuemei Ren, Jing Na, Linwei Li

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Abstract

This paper addresses the H to tracking control problem for unknown nonlinear system based on the online ADP structure. We first use an identifier NN to approximate the unknown system. In order to transform the tracking problem into the regulation problem, the augmentation system is then constructed based on the identifier. Another NN is used to approximate the cost function in the HJI equation, such that H to tracking control pairs can be obtained without the solution of the HJI equation. Moreover, a novel estimation algorithm is developed to online update the NN weights simultaneously. Finally, a simulation is presented to demonstrate the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781509065738
DOIs
Publication statusPublished - 2 Jul 2017
Externally publishedYes
Event9th International Conference on Modelling, Identification and Control, ICMIC 2017 - Kunming, China
Duration: 10 Jul 201712 Jul 2017

Publication series

NameProceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
Volume2018-March

Conference

Conference9th International Conference on Modelling, Identification and Control, ICMIC 2017
Country/TerritoryChina
CityKunming
Period10/07/1712/07/17

Keywords

  • Adaptive dynamic programming (ADP)
  • H control
  • Hamilton-Jacobi-Isaacse equation (HJI)
  • Identifier
  • Nonlinear systems

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Lv, Y., Ren, X., Na, J., & Li, L. (2017). H tracking control problem for completely unknown nonlinear system based on augmented matrix. In Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017 (pp. 7-12). (Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017; Vol. 2018-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMIC.2017.8321621