## Abstract **BACKGROUND:** A generalized methodology for the synthesis of a hybrid controller for affine systems using sequential adaptive networks (SAN) is presented. SAN consists of an assembly of neural networks that are ordered in a chronological sequence, with one network assigned to each sam
Controller synthesis for networked control systems
โ Scribed by M.B.G. Cloosterman; L. Hetel; N. van de Wouw; W.P.M.H. Heemels; J. Daafouz; H. Nijmeijer
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 874 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
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
We have developed an automatic braking control system for automobiles applying a three-layer neural network model. This system enables the vehicle to decelerate smoothly and to stop at the specified position behind the vehicle ahead. This paper focuses on the use of the three-layer neural network mo