Neural network adaptive control scheme for nonlinear systems with Lyapunov approach and sliding mode

DOI10.1108/17563781011066747zbMath1202.93074OpenAlexW1989406667MaRDI QIDQ3059785

Slim Frikha, Mohamed Djemel, Nabil Derbel

Publication date: 30 November 2010

Published in: International Journal of Intelligent Computing and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/17563781011066747

zbMATH Keywords

neural netssystems and control theorystability (control theory)adaptive system theory

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42)

Related Items (1)

Direct adaptive fuzzy sliding mode control with variable universe fuzzy switching term for a class of MIMO nonlinear systems

Cites Work

• Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form
• An LTR-observer-based dynamic sliding mode control for chattering reduction
• Intelligent controller design with UUB stability using Gaussian wavelet neural networks
• Adaptive Fuzzy Control for a Class of MIMO Nonlinear Systems with Unknown Dead-zones
• Indirect adaptive fuzzy sliding mode control. I: Fuzzy switching

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