New predictive control algorithms based on Least Squares Support Vector Machines
โ Scribed by Liu Bin; Su Hong-ye; Chu Jian
- Publisher
- SP Zhejiang University Press
- Year
- 2005
- Tongue
- English
- Weight
- 468 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1009-3095
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๐ SIMILAR VOLUMES
In this paper we apply a recently proposed technique of optimal control by support vector machines (SVMs) to chaos control. Vapnik's support vector method, which is based on the structural risk minimization principle and has been very successful in classi"cation and function estimation problems, is
## Abstract In this study, we propose a novel control methodology that introduces the use of support vector machines (SVMs) in the generalized predictive control (GPC) scheme. The SVM regression algorithms have extensively been used for modelling nonlinear systems due to their assurance of global s