Title :
Learning identification for a state space model
Author_Institution :
Louvain University, Louvain, Belgium
Abstract :
A method for system identification is proposed which is based on the error-correcting algorithm. This method is applicable to cases where the input sional is a sampled state space trajectory. In order to have a reasonable identification time we had to build in a waiting routine, and a ponderation of the input. Solutions for the problems of identification of non linear and non stationary plants are also proposed.
Keywords :
Error correction; Force control; Influenza; Linear systems; State-space methods; Switches; Tellurium; Utility programs; Visualization;
Conference_Titel :
Decision and Control, 1971 IEEE Conference on
Conference_Location :
Miami Beach, FL, USA
DOI :
10.1109/CDC.1971.271049
