论文标题
开发建模和控制策略以进行近似高斯过程
Development of modeling and control strategies for an approximated Gaussian process
论文作者
论文摘要
高斯工艺（GP）模型已广泛用作功能的先验，表现出了出色的性能。大量参数的规范会影响计算效率和实施控制策略的可行性。我们提出了一个线性模型以近似GP。该模型通过一系列基础函数扩展了GP模型。提出了几项示例和仿真研究，以证明该方法的优势。建议的线性模型提供了控制策略。
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.
