On a fuzzy-neural hierarchical controller with a self-generating knowledge base

Rajesh M. Kandadai; James M. Tien

On a fuzzy-neural hierarchical controller with a self-generating knowledge base

Rajesh M. Kandadai, James M. Tien

Research output: Contribution to journal › Conference article › peer-review

Abstract

We present an innovative fuzzy-neural architecture that is able to automatically generate a knowledge base, in an extractable form, for use in hierarchical knowledge-based controllers. The knowledge base is in the form of a linguistic rule base appropriate for a fuzzy inference system. We modify Berenji and Khedkar's GARIC architecture [3] to a hierarchical controller and enable it to automatically generate a knowledge base. A pseudo-supervised learning scheme using reinforcement learning and error backpropagation is employed. Example applications are provided to underscore its viability.

Original language	English (US)
Pages (from-to)	2625-2630
Number of pages	6
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	4
State	Published - Dec 1 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics. Part 4 (of 4) - Beijing, China Duration: Oct 14 1996 → Oct 17 1996

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture

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AB - We present an innovative fuzzy-neural architecture that is able to automatically generate a knowledge base, in an extractable form, for use in hierarchical knowledge-based controllers. The knowledge base is in the form of a linguistic rule base appropriate for a fuzzy inference system. We modify Berenji and Khedkar's GARIC architecture [3] to a hierarchical controller and enable it to automatically generate a knowledge base. A pseudo-supervised learning scheme using reinforcement learning and error backpropagation is employed. Example applications are provided to underscore its viability.

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On a fuzzy-neural hierarchical controller with a self-generating knowledge base

Abstract

ASJC Scopus subject areas

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