A complete nonlinear framework for the modelling and robust control of nonlinear systems is proposed. The use of neural networks for continuous time modelling to obtain a certain nonlinear canonical form is investigated. The model obtained is used with recently proposed dynamic sliding mode controll
โฆ LIBER โฆ
Adaptive sliding mode approach for learning in a feedforward neural network
โ Scribed by X. Yu; M. Zhihong; S. M. Monzurur Rahman
- Publisher
- Springer-Verlag
- Year
- 1998
- Tongue
- English
- Weight
- 460 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0941-0643
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A nonlinear sliding mode control design
โ
A. I. Bhatti; S. K. Spurgeon; X. Y. Lu
๐
Article
๐
1999
๐
John Wiley and Sons
๐
English
โ 255 KB
๐ 2 views
A comparison of nonlinear optimization m
โ
James W. Denton; Ming S. Hung
๐
Article
๐
1996
๐
Elsevier Science
๐
English
โ 922 KB
A Sequential Learning Approach for Singl
โ
Jie Zhang; A.J. Morris
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 722 KB
A sequential orthogonal approach to the building and training of single hidden layer neural networks is presented in this paper. In the proposed method, hidden neurons are added one at a time. The procedure starts with a single hidden neuron and sequentially increases the number of hidden neurons un
A Neural Network Approach for the Determ
โ
Seyed M. Hosseini-Nezhad; Toyoko S. Yamashita; Roger A. Bielefeld; Steven E. Kru
๐
Article
๐
1995
๐
Elsevier Science
๐
English
โ 504 KB
A neural network-based sliding-mode cont
โ
J. Javadi Moghaddam; M.H. Farahani; N. Amanifard
๐
Article
๐
2011
๐
Elsevier Science
๐
English
โ 684 KB
Dynamic adaptation of quantization thres
โ
Wu, Yu-jhih ;Alston, Michael D. ;Chau, Paul M.
๐
Article
๐
1993
๐
Springer
๐
English
โ 687 KB