An improved fuzzy modeling method for a class of multi-input non-affine nonlinear systems

DOI10.1007/s10957-012-0177-4zbMath1264.93135OpenAlexW2064671222MaRDI QIDQ1955562

Shun-Hung Tsai

Publication date: 14 June 2013

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-012-0177-4

zbMATH Keywords

fuzzy modelingTakagi-Sugeno (T-S) fuzzy modelnon-affine, multi-input system

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10)

Related Items (1)

A novel identification method for Takagi-Sugeno fuzzy model

Cites Work

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• Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems
• Direct adaptive self-structuring fuzzy controller for nonaffine nonlinear system
• Robust adaptive fuzzy controller for non-affine nonlinear systems with dynamic rule activation
• A novel error observer-based adaptive output feedback approach for control of uncertain systems

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