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
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;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location :
Rostov on Don
Print_ISBN :
0-7803-2512-5
DOI :
10.1109/ISNINC.1995.480834
