A weighted LS-SVM approach for the identification of a class of nonlinear inverse systems

DOI10.1007/s11432-009-0097-6zbMath1182.93065OpenAlexW2360822810MaRDI QIDQ2267115

Chaoxu Mu, Xunming Li, Chang-Yin Sun

Publication date: 26 February 2010

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-009-0097-6

zbMATH Keywords

inverse systemsubspacesnonlinear modelingweighted LS-SVM

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Cites Work

• Support vector machines: a nonlinear modelling and control perspective
• Functional reproducibility in nonlinear systems using dynamic compensation
• Fuzzy identification of systems and its applications to modeling and control
• Invertibility of multivariable nonlinear control systems
• Efficient computations for large least square support vector machine classifiers

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