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Adaptive neural control using fuzzy adaptive parameter for nonlinear processes

Authors:
Fatma Ezzahra Rhili at University of Gabès
Fatma Ezzahra Rhili
Asma Atig at University of Tabuk / University of Gabès
Asma Atig
  • University of Tabuk / University of Gabès
Ben Abdennour at École Nationale d'Ingénieurs de Gabès
Ben Abdennour
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2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
47
2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
48
2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
49
2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
50
2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
51
2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
52
... In the present study, a numerical example is defined to highlight the good performances of the NC using the neural emulator fuzzy adapting parameter for Multi-Input Multi-Output (MIMO) nonlinear processes. We consider a MIMO nonlinear process given by (24) [3]: To prove the efficiency of the developed approach, results are compared with those based on neural emulator using the starting term [17], given by figure 5, and results with those based on neural emulator using constant adapting parameter [18], illustrated by figure 6. The simulation results demonstrate the satisfactory closed-loop performances of the developed approach. ...
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