Based on interval type-2 fuzzy-neural network direct adaptive sliding mode control for SISO nonlinear systems

DOI10.1016/J.CNSNS.2010.01.036zbMath1222.93132OpenAlexW2080950945MaRDI QIDQ720329

Tsung-Chih Lin

Publication date: 13 October 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.2010.01.036

zbMATH Keywords

sliding mode controlSISOinterval type-2 fuzzy setdirect adaptive controlLyapunov approachupper and lower membership functions

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Variable structure systems (93B12)

Related Items (9)

Improved adaptive sliding mode control for a class of uncertain nonlinear systems subjected to input nonlinearity via fuzzy neural networks ⋮ Stochastic fuzzy differential equations of a nonincreasing type ⋮ Adaptive fuzzy \(H ^{\infty }\) tracking design of SISO uncertain nonlinear fractional order time-delay systems ⋮ Adaptive backstepping fuzzy control based on type-2 fuzzy system ⋮ Refined fault tolerant tracking control of fixed-wing UAVs via fractional calculus and interval type-2 fuzzy neural network under event-triggered communication ⋮ Decentralized adaptive formation control based on sliding mode strategy for a class of second-order nonlinear unknown dynamic multi-agent systems ⋮ Tribal particle swarm optimization for neurofuzzy inference systems and its prediction applications ⋮ Adaptive type-2 fuzzy backstepping control of uncertain fractional-order nonlinear systems with unknown dead-zone ⋮ Observer-based fractional-order adaptive type-2 fuzzy backstepping control of uncertain nonlinear MIMO systems with unknown dead-zone

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