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
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;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487758