Adaptive self-learning controllers with disturbance compensation for automatic track guidance of industrial trucks
Author:
Affiliation:
1. Simulation and Control Laboratory, University of Applied Sciences, Aschaffenburg, Germany
2. ifak – Institute of Automation and Communication, Magdeburg, Germany
Funder
Bavarian Ministry of Economic Affairs, Regional Development and Energy
Publisher
Informa UK Limited
Subject
General Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/18824889.2023.2183009
Reference32 articles.
1. Linde material handling. Homepage linde material handling [updated 2022 Feb 22].
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3. Tamba TA et al. Trajectory generation of an unmanned Forklift for autonomous operation in material handling system. In: SICE AC; 2008.
4. Ritzer P et al. Advanced path following control of an overactuated robotic vehicle. In: IEEE intelligent vehicle symposium (IV); 2015.
5. Bhutta MR et al. Collision-free navigation of Forklifts by points-of-interest switching. In: international conference on URAI; 2012.
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