Real-time intelligent adaptive control on a 16-chips parallel zero instruction set computer (ZISC) single board

Kurosh Madani; Gilles Mercier; Abdennasser Chebira; Sebastian Duchesne

doi:10.1117/12.271474

4 April 1997 Real-time intelligent adaptive control on a 16-chips parallel zero instruction set computer (ZISC) single board

Kurosh Madani, Gilles Mercier, Abdennasser Chebira, Sebastian Duchesne

Author Affiliations +

Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271474
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

In 1995 we have presented a new approach to intelligent control based on Restricted Coulomb Energy concept which derives from Radial Basis Function (RBF) like neural network. A parallel implementation of adaptive process control using this technique has been discussed. In this paper we present a Zero Instruction Set Computer based parallel implementation of the real time intelligent adaptive control (using RBF like neural network). We expose the architecture of our parallel neural controller discussing the neurons consumption (use up) in learning phase and it's capabilities in the operation phase (relaxation). Analysis of feature space (parameter space) mapping obtained from experimental validation and experimental results are presented validating our concepts.

Citation Download Citation

Kurosh Madani, Gilles Mercier, Abdennasser Chebira, and Sebastian Duchesne "Real-time intelligent adaptive control on a 16-chips parallel zero instruction set computer (ZISC) single board", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271474

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