Neural network enhanced output regulation in nonlinear systems (Q5943838)
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scientific article; zbMATH DE number 1648651
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Neural network enhanced output regulation in nonlinear systems |
scientific article; zbMATH DE number 1648651 |
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Neural network enhanced output regulation in nonlinear systems (English)
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1 March 2002
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The solvability of nonlinear output regulation problems is studied. The main result is a proof that there exists a feedforward neural network that can approximate the feedforward function up to a prescribed arbitrarily small error. The performance analysis is extended to the output feedback case. An application of the proposed approach to the ball and beam system is given as well.
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neural networks
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nonlinear systems
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regulator equations
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universal approximation theorem
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feedforward function
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performance
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output feedback
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