Identification and Control of Dynamic Systems Using Multilayer Neural Networks
The identification problem can be stated as follows: Let Up(n) and y p (n) be the input and output signals of a time-invariant dynamic plant D p . The plant is assumed to have known parameterisation but with unknown values of the parameters. The objective is to construct a suitable identification model D M which produces an output y M (n) close to y p (n) in some sense, when subjected to the same input u P (n) as the plant.
KeywordsInverse Model Linear Difference Equation Model Reference Adaptive Control Multilayer Neural Network Newton Type Algorithm
Unable to display preview. Download preview PDF.
- K. Narendra, and K. Parthasarathy, Identification and control of dynamic systems using neural networks, “IEEE Tr. on NN”, No. 1, pp. 4–27, 1990.Google Scholar