• Corpus ID: 17146921

Brain Emotional Learning Based Intelligent Controller via Temporal Difference Learning

@inproceedings{AbdiBrainEL,
  title={Brain Emotional Learning Based Intelligent Controller via Temporal Difference Learning},
  author={Javad Abdi and Azam FamilKhalili}
}
in the part and the controlling aims, can control the system in a way that these objectives are attained in the least amount of time and the best way. 

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References

SHOWING 1-10 OF 44 REFERENCES

Application of Brain Emotional Learning Based Intelligent Controller (BELBIC) to Active Queue Management

  • M. Jalili
  • Education
    International Conference on Computational Science
  • 2004
This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about the response of the immune system to EMTs.

Introducing Belbic: Brain Emotional Learning Based Intelligent Controller

This paper has adapted a computational model based on the limbic system in the mammalian brain for control engineering applications, and applied the proposed controller for some SISO, MIMO and nonlinear systems.

A novel controller for a power system based belbic (brain emotional learning based intelligent controller)

In this paper we report the utilization of a novel controller (BELBIC) based un emotion processing mechanism in brain for power system. Using the BELBIC controller, both transient stability and

Applying brain emotional learning algorithm for multivariable control of HVAC systems

A modified version of Brain Emotional Learning controller for Heating, Ventilating and Air Conditioning (HVAC) control system whose multivariable, nonlinear and non-minimum phase nature makes the task difficult is applied.

A Computational Model of Emotional Conditioning in the Brain

There exists enough physiological data to suggest the overall architecture of a computational model of emotional learning and processing inspired by neurophysiological findings, and emotion plays a clear role in learning and behavior.

A computational model of emotional learning in the amygdala.

A neurologically inspired computational model of the amygdala and the orbitofrontal cortex that aims to partially reproduce the same characteristics as the biological system is presented.

Implementation of Emotional Controller for Interior Permanent Magnet Synchronous Motor Drive

This paper presents for the first time the real-time implementation of an emotional controller for interior permanent magnet synchronous motor (IPMSM) drives. The proposed novel controller is called

Speed control of an interior permanent magnet synchronous motor using belbic (brain emotional learning based intelligent controller)

Among ac drives, the permanent magnet synchronous motor has been gaining popularity owing to its high torque to current ratio, large power to weight ratio, high efficiency, high power factor and

On the "Identification and control of dynamical systems using neural networks"

Referring to the above said paper by Narendra-Parthasarathy (ibid., vol.1, p4-27 (1990)), it is noted that the given Example 2 (p.15) has a third equilibrium state corresponding to the point (0.5,