DocumentCode
3068914
Title
Differential neurocontrol for linear inertial plant
Author
Roschin, Vadim ; Frolov, Alexander
Author_Institution
Inst. of Higher Nervous Activity & Neurophysiol., Acad. of Sci., Moscow, Russia
fYear
1995
fDate
20-23 Sep 1995
Firstpage
39
Lastpage
45
Abstract
A scheme of adaptive neural network control which is able to control output of linear inertial plants is proposed. The approach is based on the analogy with the brain function in visual-motor coordination in animals. The proposed scheme manages both learning and performing stages of operation. The method does not require calculation of the transformation matrices in implicit form. The transformation is generated during learning based on the delta-rule technique
Keywords
adaptive control; learning (artificial intelligence); linear systems; neurocontrollers; adaptive neural network control; brain function; delta-rule technique; differential neurocontrol; linear inertial plant; visual-motor coordination; Adaptive control; Biological neural networks; Biological system modeling; Control systems; Convergence; Jacobian matrices; Motion analysis; Nervous system; Programmable control; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location
Rostov on Don
Print_ISBN
0-7803-2512-5
Type
conf
DOI
10.1109/ISNINC.1995.480834
Filename
480834
Link To Document