Simple recurrent neural network control for non-minimum phase nonlinear system (Q2745621)
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scientific article; zbMATH DE number 1654916
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Simple recurrent neural network control for non-minimum phase nonlinear system |
scientific article; zbMATH DE number 1654916 |
Statements
10 April 2002
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recurrent neural network
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non-minimum phase nonlinear system
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cost function
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optimal stabilization
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weight
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Simple recurrent neural network control for non-minimum phase nonlinear system (English)
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A simple recurrent neural network controller is designed to stabilize a non-minimum phase nonlinear system. The main advantage of such a controller is its uniformity with the introduction of the weighted control information into the neural controller's cost function. Some simulation results are given as well.
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0.8051590323448181
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0.793881356716156
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0.7861778736114502
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0.7740588784217834
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0.7718749642372131
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