ENGLISH

DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL

By Wen Yu , Alexander S. Poznyak , Edgar N. Sanchez

Book information

Publisher
World Scientific Publishing Company
Year
2001
ISBN
9789810246242, 9810246242
Open Library ID
OL22472819M
Language
english
Format
DJVU
Filesize
2 MB (2197550 bytes)
Edition
1st
Pages
454\454
Library
Kolxoz dop KVKftp
DPI
300
Time added
2014-10-05 02:30:00

Description

This volume deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical).

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