STABILITY ANALYSIS OF DYNAMIC NEURAL CONTROL

Authors
POZNYAK AS YU W SANCHEZ EN PEREZ JP
Citation
As. Poznyak et al., STABILITY ANALYSIS OF DYNAMIC NEURAL CONTROL, Expert systems with applications, 14(1-2), 1998, pp. 227-236
Citations number
20
Categorie Soggetti
Computer Science Artificial Intelligence","Operatione Research & Management Science","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Operatione Research & Management Science
Journal title
Expert systems with applications → ACNP
ISSN journal
09574174
Volume
14
Issue
1-2
Year of publication
1998
Pages
227 - 236
Database
ISI
SICI code
0957-4174(1998)14:1-2<227:SAODNC>2.0.ZU;2-7
Abstract
In this paper, the authors summarize their research related to dynamic neural control. In particular, results on nonlinear system identifica tion, nonlinear trajectory tracking, and input-to-state stability (ISS ) of dynamic neural networks are presented. The main analysis tool uti lized is the Lyapunov approach. References for the detailed demonstrat ions are given. We illustrate the applicability of the results by mean s of examples. (C) 1998 Elsevier Science Ltd. All rights reserved.