基于容错SVM的非线性模型预测控制

2007 European Control Conference (ECC) Pub Date : 2007-07-02 DOI:10.23919/ECC.2007.7068587

Sergio Saludes, M. J. Fuente

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引用次数: 2

摘要

本文提出了一种以支持向量机(SVM)作为对象模型的非线性模型预测控制器(MPC)。提出了批处理和在线训练的支持向量机。讨论了这类非线性MPC的容错能力。提出了一种基于在线训练支持向量机的非线性MPC容错策略。讨论了连续搅拌槽式反应器的模拟结果。

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Fault tolerant SVM based nonlinear Model Predictive Control

This paper describes a nonlinear Model Predictive Controller (MPC) which uses Support Vector Machines (SVM) as a model of the plant. Both batch and on-line trained SVM are presented. The fault tolerance capabilities of this kind of nonlinear MPC are discussed. A strategy for achieving fault tolerance in this nonlinear MPC based on on-line trained SVM is presented. Results obtained under simulation in a continuous stirred tank reactor are discussed.

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2007 European Control Conference (ECC)

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