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 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
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.