๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Multilayer recurrent neural networks for online robust pole assignment

โœ Scribed by Sanqing Hu; Jun Wang


Book ID
117914210
Publisher
IEEE
Year
2003
Tongue
English
Weight
384 KB
Volume
50
Category
Article
ISSN
1057-7122

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A multilayer recurrent neural network fo
โœ Jun Wang; Guang Wu ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 771 KB

multilayer recurrent neural network is proposed for on-line synthesis of minimum-norm linear feedback control systems through pole assignment. The proposed neural network approach uses a four-layer recurrent neural network for the on-line computation of feedback gain matrices with the minimum Froben

A multilayer recurrent neural network fo
โœ Jun Wang; Guang Wu ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 373 KB

A multilayer recurrent neural network is proposed for solving continuous-time algebraic matrix Riccati equations in real time. The proposed recurrent neural network consists of four bidirectionally connected layers. Each layer consists of an array of neurons. The proposed recurrent neural network is