Obsidian/Literature Notes/Differential neural networks for robust nonlinear control - identification, state estimation and trajectory tracking.md

authors	citekey	publish_date	publisher	location	last_import
Poznyak, Alexander S. Yu, Wen Sanchez, Edgar N.	poznyakDifferentialNeuralNetworks2001	2001-01-01	World Scientific	Singapore ;	2025-05-12

Indexing Information

Published: 2001-01

ISBN 9786611956738 #Neural-networks-Computer-science, #Nonlinear-control-theory

#ToRead

[!Abstract] This book 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 ap>[!seealso] Related Papers

Annotations

Notes

!Paper Notes/Differential neural networks for robust nonlinear control- identification, state estimation and trajectory tracking.md

Highlights From Zotero

Follow-Ups