Adaptive parameter learning and neural network control for uncertain permanent magnet linear synchronous motors

DOI10.1016/J.JFRANKLIN.2023.09.016zbMath1525.93186MaRDI QIDQ6082817

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Publication date: 30 October 2023

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

zbMATH Keywords

permanent magnet linear synchronous motorneural network-based adaptive sliding mode controller

Mathematics Subject Classification ID

Application models in control theory (93C95) Adaptive control/observation systems (93C40) Variable structure systems (93B12) Finite-time stability (93D40)

Cites Work

• Adaptive continuous higher order sliding mode control
• Precise robust motion tracking of a piezoactuated micropuncture mechanism with sliding mode control
• Adaptive sliding mode control for uncertain Euler-Lagrange systems with input saturation
• On adaptive sliding mode control without a priori bounded uncertainty
• Problems of identification and control
• Finite time extended state observer based nonsingular fast terminal sliding mode control of flexible-joint manipulators with unknown disturbance
• Robust adaptive finite‐time parameter estimation and control for robotic systems
• Robust sliding mode control for a class of nonlinear systems through dual-layer sliding mode scheme

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