PSO-BELBIC scheme for two-coupled distillation column process
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TLDR
A Brain Emotional Learning Based Intelligent Controller (BELBIC) is proposed to replace conventional PID controllers and proves their usefulness in improving time domain behavior with keeping robustness for all loops in the two-coupled distillation column process.About:
This article is published in Journal of Advanced Research.The article was published on 2011-01-01 and is currently open access. It has received 47 citations till now. The article focuses on the topics: PID controller & BELBIC.read more
Citations
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Journal ArticleDOI
A winner-take-all approach to emotional neural networks with universal approximation property
TL;DR: In this article, a brain-inspired winner-take-all emotional neural network (WTAENN) architecture is proposed and then the universal approximation property for this kind of architecture is proved.
Journal ArticleDOI
A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance
Mohammad Jafari,Hao Xu +1 more
TL;DR: The developed strategy adopts the learning capabilities of BELBIC with the flocking that makes it a very promising approach, especially while dealing with system uncertainties and/or unknown disturbances, and very suitable for practical implementation in real-time applications.
Proceedings ArticleDOI
Brain Emotional Learning-Based Intelligent Controller for flocking of Multi-Agent Systems
TL;DR: Numerical results of the BELBIC-based flocking for MAS demonstrate the effectiveness of the proposed approach, and the low computational complexity makes it very promising for implementation in real-time applications.
Posted Content
A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property
TL;DR: The universal approximation capability of the proposed architecture is illustrated on two example functions and then applied to several competing benchmark problems such as curve fitting, pattern recognition, classification and prediction, indicating the general applicability and often superiority of the approach.
Journal ArticleDOI
Progress in Artificial Intelligence Techniques: from Brain to Emotion
TL;DR: The results indicate the ability of BELBIC to control unknown non-linear dynamic systems and can be easily adopted for niche mechatronics and industrial applications.
References
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T. Takagi,Michio Sugeno +1 more
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