Discrete-Time High Order Neural Control: Trained with Kalman Filtering (Studies in Computational Intelligence)

Description

The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, that guarantee its properties; in addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. In order to complete the treatment of these schemes, the final chapter presents experimental results related to their application to a electric three phase induction motor, which show the applicability of such designs. The proposed schemes could be employed for different applications beyond the ones presented in this book.

The book presents solutions for the output trajectory tracking problem of unknown nonlinear systems based on four schemes. For the first one, a direct design method is considered: the well known backstepping method, under the assumption of complete sate measurement; the second one considers an indirect method, solved with the block control and the sliding mode techniques, under the same assumption. For the third scheme, the backstepping technique is reconsidering including a neural observer, and finally the block control and the sliding mode techniques are used again too, with a neural observer. All the proposed schemes are developed in discrete-time. For both mentioned control methods as well as for the neural observer, the on-line training of the respective neural networks is performed by Kalman Filtering.


No Posting Of Mirror

RS mirror
http://rapidshare.com/files/192683639/DTHONC.pdf

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Discrete-Time High Order Neural Control: Trained with Kalman Filtering (Studies in Computational Intelligence)" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2252
2. Kalman Filtering and Neural Networks
3. Simon Haykin - Kalman Filtering and Neural Networks
4. Simon Haykin - Kalman Filtering and Neural Networks
5. Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)
6. Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)
7. [share_ebook] KALMAN FILTERING AND NEURAL NETWORKS
8. Trends in Neural Computation (Studies in Computational Intelligence)
9. Kalman Filtering: with Real-Time Applications
10. [share_ebook] Trends in Neural Computation (Studies in Computational Intelligence)
11. Complex-Valued Neural Networks (Studies in Computational Intelligence)
12. Kalman Filtering: with Real-Time Applications (repost)
13. Trends in Neural Computation (Studies in Computational Intelligence): Ke Chen, Lipo Wang
14. Robust Kalman Filtering For Signals and Systems with Large Uncertainties (Control Engineering)
15. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks (Studies in Computational Intelligence)
16. Neural Network Control of Nonlinear Discrete-Time Systems (Public Administration and Public Policy)