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Hybrid State Estimation Combining Artificial Neural Network and Physical Model.

, , , , and . ITSC, page 894-899. IEEE, (2019)

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Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems., and . Sensors, 22 (9): 3513 (2022)Multi-agent reinforcement learning for intelligent resource allocation in IIoT networks., , and . GCAIoT, page 118-119. IEEE, (2021)Multi level modeling and loop closing with GridTiles., , , and . MMAR, page 724-729. IEEE, (2013)Toolchain Development for Automated Scene Reconstruction using Artificial Neural Network Object Detection and Photogrammetry for the Application in Driving Simulators., , , and . SIMULTECH, page 25-34. ScitePress, (2020)A real-time capable force calculation algorithm for redundant tendon-based parallel manipulators., , , and . ICRA, page 3869-3874. IEEE, (2008)Hybrid State Estimation Combining Artificial Neural Network and Physical Model., , , , and . ITSC, page 894-899. IEEE, (2019)Stability Analysis of Wind Turbines Combined with Rechargeable Batteries Based on Markov Jump Linear Systems., , , and . LSMS/ICSEE (3), volume 763 of Communications in Computer and Information Science, page 126-136. Springer, (2017)Virtual Commissioning of Distributed Systems in the Industrial Internet of Things., , , , and . Sensors, 23 (7): 3545 (April 2023)Simulation of a cable-driven actuation concept for a humanoid robot prototype., , and . MESA, page 1-6. IEEE, (2014)A Model Driven Approach for Requirements Engineering of Industrial Automation Systems., , and . EOOLT, volume 56 of Linköping Electronic Conference Proceedings, page 9-18. Linköping University Electronic Press, (2011)