Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems (Q1400314)
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scientific article; zbMATH DE number 1963701
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems |
scientific article; zbMATH DE number 1963701 |
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Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems (English)
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13 August 2003
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The authors present both full state and output feedback adaptive neural network controllers for a class of strict-feedback discrete-time nonlinear systems, and they provide Lyapunov-based full-state adaptive neural network control via backstepping, which avoids the possible controller singularity problem in adaptive nonlinear control and solves the noncausal problem in the discrete-time backstepping design procedure. After the strict-feedback form is transformed into a cascade form, another relatively simple Lyapunov-based direct output feedback control is developed. The closed-loop systems for both control schemes are proven to be semi-globally uniformly ultimately bounded.
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adaptive control
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neural networks
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discrete time systems
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backstepping
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ultimate boundedness
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singularity problem
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noncausal problem
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strict-feedback form
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cascade
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output feedback
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