Robust neural network–based tracking control and stabilization of a wheeled mobile robot with input saturation

DOI10.1002/RNC.4396zbMath1411.93160OpenAlexW2899506159MaRDI QIDQ4629750

Jiawei Zhou, Jiawang Li, Qing di, Jingye Zhou, Hantao Huang

Publication date: 28 March 2019

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4396

zbMATH Keywords

wheeled mobile robotstabilizationrobust controlneural networktracking control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Automated systems (robots, etc.) in control theory (93C85) Adaptive or robust stabilization (93D21)

Related Items (7)

Adaptive-critic-based model reference control for unknown nonlinear systems with input constraints ⋮ High-order error function designs to compute time-varying linear matrix equations ⋮ Adaptive prescribed performance tracking control for strict‐feedback nonlinear systems with zero dynamics ⋮ Extended-state-observer-based dynamic surface control of flexible-joint robot systems with input saturation ⋮ Adaptive fuzzy sliding mode control of uncertain nonholonomic wheeled mobile robot with external disturbance and actuator saturation ⋮ Adaptive control of electrically‐driven nonholonomic wheeled mobile robots: Taylor series‐based approach with guaranteed asymptotic stability ⋮ Robust adaptive control of underactuated ships with input saturation

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