Neural network control for a closed-loop System using Feedback-error-learning
- 1 January 1993
- journal article
- Published by Elsevier in Neural Networks
- Vol. 6 (7) , 933-946
- https://doi.org/10.1016/s0893-6080(09)80004-x
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- A computational model of four regions of the cerebellum based on feedback-error learningBiological Cybernetics, 1992
- A parallel‐hierarchical neural network model for motor control of a musculo‐skeletal systemSystems and Computers in Japan, 1991
- Vector associative maps: Unsupervised real-time error-based learning and control of movement trajectoriesNeural Networks, 1991
- On the approximate realization of continuous mappings by neural networksNeural Networks, 1989
- A hierarchical neural-network model for control and learning of voluntary movementBiological Cybernetics, 1987
- Impedance Control: An Approach to Manipulation: Part I—TheoryJournal of Dynamic Systems, Measurement, and Control, 1985
- Neuronlike adaptive elements that can solve difficult learning control problemsIEEE Transactions on Systems, Man, and Cybernetics, 1983
- Simulation of adaptive modification of the vestibulo-ocular reflex with an adaptive filter model of the cerebellumBiological Cybernetics, 1982
- The Application of Model-Referenced Adaptive Control to Robotic ManipulatorsJournal of Dynamic Systems, Measurement, and Control, 1979
- Some Averaging and Stability Results for Random Differential EquationsSIAM Journal on Applied Mathematics, 1979