References
- Linde material handling. Homepage linde material handling [updated 2022 Feb 22].
- Li L, et al. Path-following control for self-driving Forklifts based on cascade disturbance rejection with coordinates reconstruction. In: 39th Chinese Control Conference (CCC), Shenyang, China, 2020, pp. 5540–5547; 2020. doi:10.23919/CCC50068.2020.9189251.
- Tamba TA, et al. Trajectory generation of an unmanned Forklift for autonomous operation in material handling system. In: SICE AC; 2008.
- Ritzer P, et al. Advanced path following control of an overactuated robotic vehicle. In: IEEE intelligent vehicle symposium (IV); 2015.
- Bhutta MR, et al. Collision-free navigation of Forklifts by points-of-interest switching. In: international conference on URAI; 2012.
- Mohammadi A, et al. Model predictive motion control of autonomous Forklift vehicles with dynamics balance constraint. In: 14th ICCARV; 2016.
- Zindler K, et al. Querdynamische fahrzeugführung zur reproduzierbaren erprobung von sicherheitssystemen. at-Automatisierungstechnik. Oldenbourg-Verlag. 2012;60(2):61–73.
- Hahn S, et al. Two-degrees-of-freedom lateral vehicle control using nonlinear model based disturbance compensation. In: 8th IFAC-AAC; 2016.
- Heinlein S, et al. Control methods for automated testing of preventive pedestrian protection systems. Int J Veh Syst Model Test. 2015;10(2):127.
- Hahn S. Methoden zur nichtlinearen modellbasierten Spurführung benutzerdefinierter punkte an der fahrzeugfront [PhD-thesis]. 2017.
- Landau lD, et al. Adaptive control: algorithms, analysis and applications. London: Springer; 2013.
- Aström KJ, Wittenmark B. Adaptive control. 2nd ed. Reading (MA): Addison-Wesley; 1995.
- Levine W, Sawa T. The control handbook. Boca Raton, USA: CRC PRESS, IEEE Press; 1996.
- Sauer T, et al. Automatic track guidance of industrial trucks using self-learning controllers considering a priori plant knowledge. In: 5th ICCAD; 2021.
- Sallab AE, et al. End-to-End deep reinforcement learning for lane keeping assist. In: 30th conference on NIPS; 2016.
- Havenstrom ST, et al. Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles; 2020. arXiv preprint arXiv:2002.01022.
- Sauer T, et al. Automatic track guidance of industrial trucks using AI-based controllers with disturbance compensation. In: 60th SICE annual conference; 2022.
- Fujimoto S, et al. Addressing function approximation error in actor-critic methods. In: ICML; 2018.
- Han-Shue T, et al. Developement of an automated steering vehicle based on roadway magnets – a case study of mechatronic system design. IEEE/ASME TOM. 1999;4(3):258–272.
- Pacejka H. Tyre and vehicle dynamics. 2nd ed. Oxford: Butterworth-Heinemann; 2006.
- Querregelung eines autonomen strassenfahrzeugs. Fortschr.-Ber. VDI Reihe 8, Nr. 882. VDI Verlag Düsseldorf; 2001.
- König L, et al. Nichtlineare lenkregler für den querdynamischen grenzbereich (Nonlinear steering controllers for the lateral dynamics stability limit). Automatisierungstechnik. 2007;55(6):314–321.
- König L. Ein virtueller testfahrer für den querdynamischen grenzbereich. Renningen, Germany: expert Verlag Renningen; 2009.
- Pruckner A. Nichtlineare Fahrzustandsbeobachtung und -regelung einer PKW-Hinterradlenkung. Dissertation; 2001.
- Horowitz IM. Synthesis of feedback systems. New York: Academic Press; 1963.
- Vogt M. An overview of deep learning techniques, at – automatisierungstechnik. Oldenbourg Wissenschaftsverlag. 2018;66(9):690–703.
- Lillicrap TP, et al. Continuous control with deep reinforcement learning. In: ICLR; 2016.
- Sutton R, Barto A. Reinforcement learning: an introduction. London, England: The MIT Press; 2018.
- Hagan M, et al. Neural network design. Oklahoma, USA: Martin Hagan; 2014.
- Gurney K. An introduction to neural networks. Oxford, England: UCL Press Limited; 1997.
- Silver D, et al. Deterministic policy gradient algorithms. In: ICML; 2014.
- Ichikawa Y, et al. Neural network application for direct feedback controllers. IEEE Trans Neural Netw. 1992;3(2):224–231.