Parameter self-learning feedforward compensation-based active disturbance rejection for path-following control of self-driving forklift trucks
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Publication:6583454
DOI10.1002/asjc.3110MaRDI QIDQ6583454
Xiaojing Song, Kang Song, Hui Xie, Wenchao Xue, Longqing Li
Publication date: 6 August 2024
Published in: Asian Journal of Control (Search for Journal in Brave)
stability analysisactive disturbance rejection controlself-learningpure pursuitself-driving forklift
Cites Work
- A self‐adaptive SAC‐PID control approach based on reinforcement learning for mobile robots
- Design of a PID optimized neural networks and PD fuzzy logic controllers for a two-wheeled mobile robot
- Real-time NMPC path tracker for autonomous vehicles
- Fixed-time extended state observer-based trajectory tracking control for autonomous underwater vehicles
- Observer-based path following control for autonomous vehicles with localization errors and tire slip effects
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Output feedback stabilization for a wave-ODE cascaded system subject to uncertain disturbance ⋮ From PID to ADRC and back: expressing error-based active disturbance rejection control schemes as standard industrial 1DOF and 2DOF controllers
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