Development of modeling and control strategies for an approximated Gaussian process

Shisheng Cui; Chia-Jung Chang

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arXiv · 2002.05105

Development of modeling and control strategies for an approximated Gaussian process

Shisheng Cui·Chia-Jung Chang

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Abstract

The Gaussian process (GP) model, which has been extensively applied as priors of functions, has demonstrated excellent performance. The specification of a large number of parameters affects the computational efficiency and the feasibility of implementation of a control strategy. We propose a linear model to approximate GPs; this model expands the GP model by a series of basis functions. Several examples and simulation studies are presented to demonstrate the advantages of the proposed method. A control strategy is provided with the proposed linear model.

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BibTeX RIS

Shisheng Cui, Chia-Jung Chang. 2020-02-12. Development of modeling and control strategies for an approximated Gaussian process. https://arxiv.org/abs/2002.05105

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