libcats.org
Главная

DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL

Обложка книги DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL

DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL

, ,
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).
Ссылка удалена правообладателем
----
The book removed at the request of the copyright holder.
Популярные книги за неделю:
Только что пользователи скачали эти книги: