"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.
| ISBN: | 9781441914378 |
| Publication date: | 14th December 2009 |
| Author: | H A Talebi |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 154 pages |
| Series: | Lecture Notes in Control and Information Sciences |
| Genres: |
Automatic control engineering Engineering: Mechanics of solids Cybernetics and systems theory Maths for engineers |
"Neural Network-Based State Estimation of Nonlinear Systems" presents efficient, easy to implement neural network schemes for state estimation, system identification, and fault detection and Isolation with mathematical proof of stability, experimental evaluation, and Robustness against unmolded dynamics, external disturbances, and measurement noises.
Neural Network-Based State Estimation of Nonlinear Systems features in the following genres: Automatic control engineering, Engineering: Mechanics of solids, Cybernetics and systems theory, Maths for engineers
Neural Network-Based State Estimation of Nonlinear Systems is available in Paperback
Neural Network-Based State Estimation of Nonlinear Systems was written by H A Talebi and published by Springer an imprint of Springer New York
Neural Network-Based State Estimation of Nonlinear Systems has 154 pages
Yes it is part of Lecture Notes in Control and Information Sciences series