Disturbance observer‐based robust motor control enhanced by adaptive neural network in the absence of velocity measurement
From MaRDI portal
Publication:6085474
DOI10.1002/rnc.6071zbMath1528.93039OpenAlexW4213264578MaRDI QIDQ6085474
No author found.
Publication date: 12 December 2023
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.6071
adaptive neural networkfriction compensationresonant extended state observerwide/narrow-band disturbances
Artificial neural networks and deep learning (68T07) Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Observers (93B53)
Cites Work
- Unnamed Item
- A survey of models, analysis tools and compensation methods for the control of machines with friction
- Adaptive motion control using neural network approximations.
- Robust exact uniformly convergent arbitrary order differentiator
- Friction analysis based on integral quadratic constraints
- The oscillations killer: a mechanism to eliminate undesired limit cycles in a class of nonlinear systems
- Adaptive backstepping output feedback control of DC motor actuator with friction and load uncertainty compensation
- Higher-order sliding modes, differentiation and output-feedback control
- LIMIT CYCLING IN AN OBSERVER-BASED CONTROLLED SYSTEM WITH FRICTION: NUMERICAL ANALYSIS AND EXPERIMENTAL VALIDATION
- Augmented fixed‐time observer‐based continuous robust control for hypersonic vehicles with measurement noises
- Nonlinear coordination control of offshore boom cranes with bounded control inputs
- Optimised active disturbance rejection motion control with resonant extended state observer
- Discrete terminal sliding mode repetitive control for a linear actuator with nonlinear friction and uncertainties
This page was built for publication: Disturbance observer‐based robust motor control enhanced by adaptive neural network in the absence of velocity measurement