Adaptive Neural Dynamic Surface Control For Nonlinear Pure‐Feedback Systems With Multiple Time‐Varying Delays: A <scp>L</scp>yapunov‐<scp>R</scp>azumikhin Method
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Publication:5416868
DOI10.1002/asjc.620zbMath1286.93103OpenAlexW2151551360MaRDI QIDQ5416868
Publication date: 15 May 2014
Published in: Asian Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asjc.620
Related Items (8)
Design of Adaptive Block Backstepping Controllers with Perturbations Estimation for Nonlinear State‐Delayed Systems in Semi‐Strict Feedback Form ⋮ Adaptive NN state-feedback control for stochastic high-order nonlinear systems with time-varying control direction and delays ⋮ NN-Based Output-Feedback Control for Stochastic Nonlinear Systems with Unknown Control Directions ⋮ Adaptive Dynamic Surface control of An electrohydraulic Actuator with Friction Compensation ⋮ Observer-based adaptive neural dynamic surface control for a class of non-strict-feedback stochastic nonlinear systems ⋮ Adaptive neural novel prescribed performance control for non-affine pure-feedback systems with input saturation ⋮ Globally Stable Adaptive Tracking Control for Uncertain Strict-Feedback Systems Based on Neural Network Approximation ⋮ Observer-based adaptive neural control of nonlinear time-delay systems with unknown output function and unknown control directions
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