A Linear Quadratic Regulation Controller Based on Radial Basis Function Network Approximation
A Linear Quadratic Regulation Controller Based on Radial Basis Function Network Approximation
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Author / Creator
Liu, Chao , Qiu, Xiaoxia , Xu, Teng , Wei, Wei , Sun, Hemin and Hou, Yonghui
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
This paper proposes a linear quadratic regulation (LQR) tracking control method based on a radial basis function (RBF) that successfully compensates for the shortcomings of the LQR method. The LQR method depends on the linearity of a model. Specifically, an RBF neural network is used to approximate and compensate for the nonlinear part of a control...
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Full title
A Linear Quadratic Regulation Controller Based on Radial Basis Function Network Approximation
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TN_cdi_proquest_journals_3126023462
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3126023462
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics13214279
