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Design of an Adaptive Support Vector Regressor Controller for a Spherical Tank System Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes

Authors : Mohammad Anwar Hosen, Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Douglas Creighton

Published in: Neural Information Processing

Publisher: Springer International Publishing

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Abstract

This work presents a hybrid controller based on the combination of fuzzy logic control (FLC) mechanism and internal model-based control (IMC). Neural network-based inverse and forward models are developed for IMC. After designing the FLC and IMC independently, they are combined in parallel to produce a single control signal. Mean averaging mechanism is used to combine the prediction of both controllers. Finally, performance of the proposed hybrid controller is studied for a nonlinear numerical plant model (NNPM). Simulation result shows the proposed hybrid controller outperforms both FLC and IMC.

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Metadata
Title
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes
Authors
Mohammad Anwar Hosen
Syed Moshfeq Salaken
Abbas Khosravi
Saeid Nahavandi
Douglas Creighton
Copyright Year
2015
Book
Neural Information Processing

Print ISBN: 978-3-319-26554-4

Electronic ISBN: 978-3-319-26555-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-26555-1_24

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