TY  - BOOK
AU  - Poznyak,Alexander S.
AU  - Sanchez,Edgar N.
AU  - Yu,Wen
TI  - Differential neural networks for robust nonlinear control: identification, state estimation and trajectory tracking 
SN  - 9789812811295
AV  - QA76.87 .P69 2001eb
U1  - 629.89 22
PY  - 2001///
CY  - River Edge, NJ
PB  - World Scientific
KW  - Neural networks (Computer science)
KW  - Nonlinear control theory
KW  - Robust control
KW  - TECHNOLOGY & ENGINEERING
KW  - Automation
KW  - bisacsh
KW  - fast
KW  - Electronic books
N1  - Includes bibliographical references and index
N2  - 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)
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=235826
ER  -