Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead zone outputs
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Publication:5027861
DOI10.1080/00207721.2018.1530397zbMath1482.93322OpenAlexW3141794531WikidataQ129163019 ScholiaQ129163019MaRDI QIDQ5027861
Publication date: 7 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2018.1530397
adaptive fuzzy controlNussbaum functionpure-feedback stochastic nonlinear systemsunknown dead zone outputs
Feedback control (93B52) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03)
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Adaptive generation of limit cycles in a class of nonlinear systems with unknown parameters and dead-zone nonlinearity ⋮ RobustH2/H∞control for a class of time-varying nonlinear stochastic systems with state- and control-dependent noises ⋮ Trajectory tracking with time-varying terrain conditions for an autonomous omnidirectional mobile robot using stratified variable structure saturated control ⋮ Adaptive tracking control of uncertain nonlinear system with time delays, external disturbances and dead-zone input ⋮ Event-triggered adaptive prescribed performance control for a class of pure-feedback stochastic nonlinear systems with input saturation constraints ⋮ Adaptive fuzzy event-triggered control for nonstrict-feedback switched stochastic nonlinear systems with state constraints ⋮ Neural network-based asymptotic tracking control design for stochastic nonlinear systems
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