Adaptive neural design frame for uncertain stochastic nonlinear non-lower triangular pure-feedback systems with input constraint
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Publication:2334174
DOI10.1016/j.jfranklin.2019.09.019zbMath1423.93171OpenAlexW2974646494WikidataQ127229479 ScholiaQ127229479MaRDI QIDQ2334174
Publication date: 7 November 2019
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.09.019
Feedback control (93B52) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03)
Related Items (4)
Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation ⋮ Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems ⋮ Neural learning fixed-time adaptive tracking control of complex stochastic constraint nonlinear systems ⋮ Barrier Lyapunov function-based tracking control for stochastic nonlinear systems with full-state constraints and input saturation
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