Title
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes.
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.
Year
DOI
Venue
2015
10.1007/978-3-319-26555-1_24
Lecture Notes in Computer Science
Keywords
Field
DocType
Fuzzy logic controller,Hybrid controller,Internal model-based controller,Neural network,Forward model,Inverse model
Inverse,Fuzzy logic control,Control theory,Nonlinear system,Control theory,Computer science,Fuzzy logic controller,Artificial neural network,Open-loop controller,Internal model
Conference
Volume
ISSN
Citations 
9491
0302-9743
0
PageRank 
References 
Authors
0.34
10
5
Name
Order
Citations
PageRank
Mohammad Anwar Hosen183.84
Syed Moshfeq Salaken2154.55
Abbas Khosravi350160.11
Saeid Nahavandi41545219.71
Douglas C. Creighton526236.22