Title :
Learning dynamical systems in a stationary environment
Author :
Campi, M.C. ; Kumar, P.R.
Author_Institution :
Dept. of Electr. Eng. & Autom., Brescia Univ., Italy
Abstract :
The emerging field of learning theory, pioneered by Vapnik and Chervonenkis (1971, 1981) has by and large been focused on the problem of learning static relations. As an initial attempt to extend this approach to system identification, we examine the problem of learning input-output relations in a stationary environment
Keywords :
identification; learning (artificial intelligence); probability; dynamical systems; input-output relations; learning theory; stationary environment; Additive noise; Automation; Casting; Probability distribution; Q measurement; System identification; Uniform resource locators; Yttrium;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.573117
