A nonlinear sliding mode control design approach based on neural network modelling

DOI<397::AID-RNC412>3.0.CO;2-0 10.1002/(SICI)1099-1239(199906)9:7<397::AID-RNC412>3.0.CO;2-0zbMath0968.93503OpenAlexW2061877209WikidataQ67226950 ScholiaQ67226950MaRDI QIDQ4267167

Aamer Iqbal Bhatti, Xiao-Yun Lu, Sarah K. Spurgeon

Publication date: 5 September 2001

Full work available at URL: https://doi.org/10.1002/(sici)1099-1239(199906)9:7<397::aid-rnc412>3.0.co;2-0

zbMATH Keywords

sliding mode controlneural network modelsuncertainty boundsgeneralized controller canonical form

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Variable structure systems (93B12)

Cites Work

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• Representing a nonlinear state space system as a set of higher-order differential equations in the inputs and outputs
• Robust sliding mode control of uncertain nonlinear systems
• Generalized controller canonical form for linear and nonlinear dynamics
• A dynamical variable structure control strategy in asymptotic output tracking problems
• Approximation by superpositions of a sigmoidal function