Multivariable system decoupling through neural networks precompensation

Multivariable system decoupling through neural networks precompensation

A major difficulty in multivariable control design is the cross-coupling between inputs and outputs which obscures the effects of a specific controller on the overall behavior of the system. This paper considers the application of neural networks in decoupling multivariable output feedback controlle...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Galvez, J.M., Fonseca, M.O.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Control design
Control systems
Frequency domain analysis
Mechanical engineering
MIMO
Neural networks
Neurons
Optimal control
Robust control
Robust stability
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Beschreibung
Zusammenfassung:A major difficulty in multivariable control design is the cross-coupling between inputs and outputs which obscures the effects of a specific controller on the overall behavior of the system. This paper considers the application of neural networks in decoupling multivariable output feedback controllers. Simulation results are presented to show the feasibility of the proposed technique.
DOI:10.1109/MWSCAS.1996.594210