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IPM
30
YEARS OLD

“School of Cognitive Sciences”

Paper   IPM / Cognitive Sciences / 7851
   School of Cognitive Sciences
  Title: Brain Emotional Learning Based Intelligent Controller
  Author(s):
1 . C. Lucas
2 . D. Shahmirzadi
3 . N. Sheikholeslami
  Status: Published
  Journal: INTELL AUTOM SOFT CO
  No.: 1
  Vol.: 10
  Year: 2004
  Pages: 11-22
  Supported by: IPM
  Abstract:
Modeling emotions has attracted much attention in recent years, both in cognitive psychology and design of artificial systems. Far from being a negative factor in decision making, emotions have shown to be a strong faculty for making fast satisficing decisions. In this paper, we have adapted a computational model based on the limbic system in the mammalian brain for control engineering applications. We applied the proposed controller (termed BELBIC) for some SISO, MIMO and nonlinear systems. Our results demonstrate excellent control action, disturbance handling and system parameter robustness for BELBIC.

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