DocumentCode
3261325
Title
Design of controller for nonlinear system using dynamic neural unit model
Author
Seong-Wook, Park ; Bo-Hyeok, Seo
Author_Institution
Dept. of Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Volume
5
fYear
1995
fDate
Nov/Dec 1995
Firstpage
2519
Abstract
The conventional neural network models are a parody of biological neural structures, and have very slow learning. In order to emulate some dynamic functions, such as learning and adaptation, and to better reflect the dynamics of biological neurons, Gupta-Rao have developed a “dynamic neural model” (DNU). The proposed neural unit model is to introduce some dynamics to the neuron transfer function, such that the neuron activity depends on internal states. Integrating an dynamic elementary processor within the neuron allows the neuron to act dynamic response. Numerical examples are presented for a model system. The case studies showed that the proposed DNU can be useful in practical sense
Keywords
adaptive control; control system synthesis; dynamic response; feedforward neural nets; neurocontrollers; nonlinear systems; transfer functions; adaptive control; controller design; dynamic neural unit model; dynamic response; internal states; multilayer neural networks; neuron transfer function; nonlinear systems; Biological system modeling; Control system synthesis; Network address translation; Neural networks; Neurofeedback; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487758
Filename
487758
Link To Document