Parameter self-learning feedforward compensation-based active disturbance rejection for path-following control of self-driving forklift trucks

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)

zbMATH Keywords

stability analysisactive disturbance rejection controlself-learningpure pursuitself-driving forklift

Mathematics Subject Classification ID

Systems theory; control (93-XX)

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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