Neural net control of nonlinear plants through state feedback

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1099-1514(200003/04)21:2<63::AID-OCA665>3.0.CO;2-U" /><63::AID-OCA665>3.0.CO;2-U 10.1002/(SICI)1099-1514(200003/04)21:2<63::AID-OCA665>3.0.CO;2-UzbMath1069.93503OpenAlexW2614868577MaRDI QIDQ5317781

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Publication date: 21 September 2005

Full work available at URL: https://doi.org/10.1002/(sici)1099-1514(200003/04)21:2<63::aid-oca665>3.0.co;2-u

zbMATH Keywords

optimal controlnonlinear systemsneural networkfeedback controlcontrol design

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Design techniques (robust design, computer-aided design, etc.) (93B51)

Cites Work

• Unnamed Item
• Neural networks for control systems - a survey
• Multilayer feedforward networks are universal approximators
• Neural-net-based direct self-tuning control of nonlinear plants
• Neural-net controller for nonlinear plants: design approach through linearisation
• BPD computation and model reference adaptive control (MRAC) of Hammerstein plants
• Approximation by superpositions of a sigmoidal function

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