STATE STEERING BY LEARNING FOR A CLASS OF NONLINEAR CONTROL-SYSTEMS

Authors
LUCIBELLO P
Citation
P. Lucibello, STATE STEERING BY LEARNING FOR A CLASS OF NONLINEAR CONTROL-SYSTEMS, Automatica, 30(9), 1994, pp. 1463-1468
Citations number
17
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control
Journal title
Automatica → ACNP
ISSN journal
00051098
Volume
30
Issue
9
Year of publication
1994
Pages
1463 - 1468
Database
ISI
SICI code
0005-1098(1994)30:9<1463:SSBLFA>2.0.ZU;2-P
Abstract
The problem of steering the state of nonlinearly perturbed linear syst ems by learning is investigated. A family of algorithms which compute the steering control by means of successive trials on the real plant i s presented. Convergence in the face of a class of nonlinear plant per turbations is proven. State feedback linearizable systems are shown to be addressable by the presented algorithms. Two examples illustrate t he applicability of algorithms.