A fuzzy neural network approximator with fast terminal sliding mode and its applications

DOI10.1016/J.FSS.2003.12.004zbMath1071.68542OpenAlexW1788589591MaRDI QIDQ703336

Xinghuo Yu, Zhihong Man, Shuanghe Yu

Publication date: 11 January 2005

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2003.12.004

zbMATH Keywords

ApproximationFinite time convergenceFuzzy neural networkGradient descent learningTerminal sliding mode

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

THREE-PARAMETER FUZZY ARITHMETIC APPROXIMATION OF L-R FUZZY NUMBERS FOR FUZZY NEURAL NETWORKS ⋮ Neural-network-based optimal fuzzy controller design for nonlinear systems ⋮ Variable-structure-systems based approach for online learning of spiking neural networks and its experimental evaluation ⋮ Adaptive fuzzy path tracking control for mobile robots with unknown control direction ⋮ Nonsingular terminal sliding mode control of nonlinear second-order systems with input saturation ⋮ Incremental learning of dynamic fuzzy neural networks for accurate system modeling

Cites Work

• Variable structure systems: Towards the 21st century
• Terminal sliding mode control for rigid robots
• Fuzzy system identification using an adaptive learning rule with terminal attractors
• Model reference adaptive control systems with terminal sliding modes
• Fast terminal sliding-mode control design for nonlinear dynamical systems
• Control of chaotic dynamical systems using radial basis function network approximators

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