Modeling and control of nonlinear systems using novel fuzzy wavelet networks: the output adaptive control approach

DOI10.1016/j.cnsns.2010.12.041zbMath1223.93065OpenAlexW2070985624MaRDI QIDQ635130

Juan-Miguel Gracia

Publication date: 19 August 2011

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2010.12.041

zbMATH Keywords

adaptive controlstate-observer\(H_\infty\) techniquesfuzzy wave-netself-structuring networks

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)

Related Items (2)

New fuzzy wavelet network for modeling and control: The modeling approach ⋮ Robust adaptive sliding-mode control of condenser-cleaning mobile manipulator using fuzzy wavelet neural network

Cites Work

• New fuzzy wavelet network for modeling and control: The modeling approach
• Fuzzy adaptive output feedback control for MIMO nonlinear systems
• Direct adaptive fuzzy control with a self-structuring algorithm
• Adaptive asymmetric fuzzy neural network controller design via network structuring adaptation
• Adaptive fuzzy wavelet network control design for nonlinear systems
• \(H_{\infty }\) reinforcement learning control of robot manipulators using fuzzy wavelet networks
• Adaptive fuzzy output tracking control for a class of uncertain nonlinear systems

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