Please use this identifier to cite or link to this item: 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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