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# Identification and Control of Dynamic Systems Using Multilayer Neural Networks

Chapter

## Abstract

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.

## Keywords

Inverse Model Linear Difference Equation Model Reference Adaptive Control Multilayer Neural Network Newton Type Algorithm
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## References

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## Copyright information

© Springer-Verlag London Limited 1995