Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes
Hosen, Mohammad Anwar, Salaken, Syed Moshfeq, Khosravi, Abbas, Nahavandi, Saeid and Creighton, Douglas 2015, Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes, in ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Springer, Berlin, Germany, pp. 1-10, doi: 10.1007/978-3-319-26555-1_24.
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Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes
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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