REGULATION OF UNKNOWN NONLINEAR DYNAMICAL-SYSTEMS VIA DYNAMICAL NEURAL NETWORKS

Authors
ROVITHAKIS GA CHRISTODOULOU MA
Citation
Ga. Rovithakis et Ma. Christodoulou, REGULATION OF UNKNOWN NONLINEAR DYNAMICAL-SYSTEMS VIA DYNAMICAL NEURAL NETWORKS, Journal of intelligent & robotic systems, 12(3), 1995, pp. 259-275
Citations number
19
Categorie Soggetti
System Science","Computer Science Artificial Intelligence","Robotics & Automatic Control
Journal title
Journal of intelligent & robotic systems → ACNP
ISSN journal
09210296
Volume
12
Issue
3
Year of publication
1995
Pages
259 - 275
Database
ISI
SICI code
0921-0296(1995)12:3<259:ROUNDV>2.0.ZU;2-F
Abstract
In this paper, we are dealing with the problem of regulating unknown n onlinear dynamical systems. First a dynamical neural network identifie r is employed to perform 'black box' identification and then a regular static feedback is developed to regulate the unknown system to zero. Not all the plant states are assumed to be available for measurement.