๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm

โœ Scribed by Huang, Yuzhu; Liu, Derong


Book ID
121996124
Publisher
Elsevier Science
Year
2014
Tongue
English
Weight
898 KB
Volume
125
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Output tracking of a class of unknown no
โœ Jui-Hong Horng ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 698 KB

In this paper, an adaptive controller based on neural networks is derived,for controlling a class of unknown nonlinear discrete-time systems. A two-layered neural network is used to characterize the input-output behavior of the unknown systems. The Widrow-Hoff delta rule is the learning algorithm us