Using SIGNAL for developing neural control systems

Author

Cherruel, Gildas ; Autret, Yvon ; Dupont, François

Author_Institution

Lab. LIMI, Univ. de Bretagne Occidentale, Brest, France

Volume

4

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

2679

Abstract

We present a new environment for developing neural networks integrated in process control loops. This environment allows the user to easily control the learning phase and assures the user that the obtained system is both logically and temporally correct. Those two aspects have to be proven in order to obtain a viable real-time system. The conventional languages can not provide the temporal aspect, so we have investigated the development of neural networks for control process with the synchronous languages and particularly the language SIGNAL and its developing environment SILDEX

Keywords

backpropagation; control system CAD; identification; neurocontrollers; process control; programming environments; real-time systems; SIGNAL; SILDEX; backpropagation; developing environment; learning phase; neural control systems; neural networks; process control loops; real-time system.; synchronous languages; Clocks; Control systems; Manufacturing; Mobile robots; Neural networks; Process control; Real time systems; Remotely operated vehicles; Signal processing; Vehicle driving;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374645

Filename

374645