An energy-gain bounding approach to robust fuzzy identification

DOI10.1016/j.automatica.2006.01.013zbMath1137.93319OpenAlexW2034766557MaRDI QIDQ875965

Mohit Kumar, Norbert Stoll, Regina Stoll

Publication date: 16 April 2007

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2006.01.013

zbMATH Keywords

interpretability\(H^{\infty }\)-optimizationenergy-gainrobust fuzzy identification

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) System identification (93B30) Control/observation systems with incomplete information (93C41)

Related Items (4)

Fuzzy modeling of non-uniformly sampling nonlinear systems based on clustering method and convergence analysis ⋮ An energy-gain bounding approach to robust fuzzy identification ⋮ Experience-consistent modeling: regression and classification problems ⋮ Fuzzy theoretic approach to signals and systems: static systems

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• An energy-gain bounding approach to robust fuzzy identification
• Regularized adaptation of fuzzy inference systems. Modelling the opinion of a medical expert about physical fitness: an application
• Fuzzy identification of systems and its applications to modeling and control
• Regularized data-driven construction of fuzzy controllers
• Linear estimation in Krein spaces. I. Theory
• Linear estimation in Krein spaces. II. Applications

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