Title :
Programmable analog VLSI neural circuits for control
Author :
Salam, Fathi M A ; Wang, Yiwen
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Neural circuits that have qualitatively the same dynamic properties as continuous-time feedforward/feedback artificial neural nets are introduced. These neural circuits are realizable by all-MOS elements, and thus they are implementable by analog MOS VLSI technology. The circuits provide an efficient and inexpensive electronics for various tasks in identification and control
Keywords :
MOS integrated circuits; VLSI; control equipment; identification; linear integrated circuits; neural nets; all-MOS elements; analog MOS VLSI technology; continuous-time feedforward/feedback artificial neural nets; control electronics; identification electronics; programmable analog VLSI neural circuits; Artificial neural networks; Biological neural networks; Circuits; Feedforward neural networks; Neural networks; Neurofeedback; Neurons; State feedback; Vehicle dynamics; Very large scale integration;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70457
