NON-LINEAR RECURSIVE IDENTIFICATION AND CONTROL BY NEURAL NETWORKS: A GENERAL FRAMEWORK

Pursuing our effort along the same lines,we show that algorithms for the adaptive control of non-linear processes by neural networks can be derived from the above approach. However, process control has its own goals and constraints: therefore, the algorithms must be tuned to such specificities. The second part of the paper is devoted to the presentation of these algorithms, which are illustrated in detail in the third part. 2 RECURSIVE TRAINING OF FEEDBACK NEURAL NETS