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https://hdl.handle.net/11499/6388
Title: | Support vector machines based neuro-fuzzy control of nonlinear systems | Authors: | İplikçi, Serdar | Keywords: | Intelligent control Neuro-fuzzy systems Support vector machines Adaptive network fuzzy inference systems Generalization ability Global minima Gradient informations Neurofuzzy control Neurofuzzy system Nonlinear plant Plant dynamics Simulation result Steady state tracking SVM algorithm SVM model Adaptive control systems Controllers Fuzzy control Fuzzy inference Fuzzy systems Vectors article classification algorithm computer model computer simulation fuzzy system mathematical computing performance measurement system priority journal support vector machine system analysis |
Abstract: | In this work, a novel neuro-fuzzy control structure has been proposed for unknown nonlinear plants, which is referred to as the SVM-based ANFIS controller since it has been emerged from the fusion of adaptive network fuzzy inference system (ANFIS) and support vector machines (SVMs). In the proposed controller, an obtained SVM model of the plant is used to extract the gradient information and to predict the future behavior of the plant dynamics, which are necessary to find the additive correction term and to update the ANFIS parameters. The motivation behind the use of SVMs for modeling the plant dynamics is the fact that the SVM algorithms possess higher generalization ability and guarantee the global minima. The simulation results have revealed that the SVM-based ANFIS controller exhibits considerably high performance by yielding very small transient- and steady-state tracking errors and that it can maintain its performance under noisy conditions. © 2010 Elsevier B.V. | URI: | https://hdl.handle.net/11499/6388 https://doi.org/10.1016/j.neucom.2010.02.008 |
ISSN: | 0925-2312 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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