Lehrstuhl für Regelungstechnik

Cauerstraße 7
91058 Erlangen

Subordinate Organisational Units

Professur für Regelungstechnik

Research Fields

Discrete Event Systems
Distributed-parameter systems

Related Project(s)

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Fehlerdiagnose verteilt-parametrischer Systeme mittels Modulationsfunktionen
apl. Prof. Dr. Joachim Deutscher
(01/04/2018 - 31/03/2021)

QRONOS: Quality-aware Co-Design of Responsive Real-Time Control Systems
Dr.-Ing. Andreas Michalka; Dr.-Ing. Peter Ulbrich
(01/09/2015 - 30/09/2021)

Publications (Download BibTeX)

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Joos, S., Bruder, R., Specker, T., Bitzer, M., & Graichen, K. (2019). Kinematic real-time trajectory planning with state and input constraints for the example of highly automated driving. In 23rd International Conference on System Theory, Control and Computing (ICSTCC 2019).
Bergmann, D., & Graichen, K. (2019). Gaussian process regression for modeling of time-varying systems. At-Automatisierungstechnik, 67(8), 637-647. https://dx.doi.org/10.1515/auto-2019-0015
Deutscher, J., & Gabriel, J. (2019). Periodic output regulation for general linear heterodirectional hyperbolic systems. Automatica, 103, 208-216. https://dx.doi.org/10.1016/j.automatica.2019.02.006
Ulbrich, P., & Gaukler, M. (2019, April). QRONOS: Towards Quality-aware Responsive Real-Time Control Systems. Poster presentation at 25th IEEE Real-Time and Embedded Technology and Applications Symposium, Brief Presentations Track, Montreal, Quebec, CA.
Gaukler, M., & Ulbrich, P. (2019). Worst-Case Analysis of Digital Control Loops with Uncertain Input/Output Timing. In Proceedings of the 6th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH '19)..
Deutscher, J., & Kerschbaum, S. (2019). Output regulation for coupled linear parabolic PIDEs. Automatica, 100, 360-370. https://dx.doi.org/10.1016/j.automatica.2018.11.033
Deutscher, J., Gehring, N., & Kern, R. (2019). Output feedback control of general linear heterodirectional hyperbolic PDE-ODE systems with spatially-varying coefficients. International Journal of Control, 92, 2274-2290. https://dx.doi.org/10.1080/00207179.2018.1436770
Deutscher, J., & Gabriel, J. (2019). Minimum time output regulation for general linear heterodirectional hyperbolic systems. International Journal of Control, (in press). https://dx.doi.org/10.1080/00207179.2018.1533648
Lamprecht, A., Steffen, D., Häcker, J., & Graichen, K. (2019). Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study. In Proceedings of the Driving Simulation Conference & Exhibition (DSC). Strasbourg, FR.
Englert, T., Völz, A., Mesmer, F., Rhein, S., & Graichen, K. (2019). A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC). Optimization and Engineering, 20(3), 769-809. https://dx.doi.org/10.1007/s11081-018-9417-2
Völz, A., & Graichen, K. (2019). A predictive path-following controller for continuous replanning with dynamic roadmaps. IEEE Robotics and Automation Letters, 4(4), 3963-3970. https://dx.doi.org/10.1109/LRA.2019.2929990
Geiselhart, R., Bergmann, D., Niemeyer, J., Remele, J., & Graichen, K. (2019). Hierarchical optimization of operational costs of a heavy-duty diesel engine and an exhaust aftertreatment system. In Proc. European Control Conference (ECC 2019) (pp. 1227-1232). Naples (Italy).
Hofmann, C., Particke, F., Hiller, M., & Thielecke, J. (2019). Object detection, classification and localization by infrastructural stereo cameras. In Andreas Kerren, Christophe Hurter, Jose Braz (Eds.), VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 808-815). Prague, CZ: SciTePress.
Fischer, F., & Deutscher, J. (2019). Flachheitsbasierte algebraische Fehlerdiagnose für einen Euler-Bernoulli-Balken mittels Modulationsfunktionen. at - Automatisierungstechnik, 67, 622-636. https://dx.doi.org/10.1515/auto-2019-0035
Bergmann, D., Geiselhart, R., & Graichen, K. (2019). Modelling and control of a heavy-duty Diesel engine gas path with Gaussian process regression. In Proc. European Control Conference (ECC 2019) (pp. 1207-1213). Naples (Italy).
Bestler, A., & Graichen, K. (2019). Distributed model predictive control for continuous-time nonlinear systems based on suboptimal ADMM. Optimal Control Applications & Methods, 40(1), 1-23. https://dx.doi.org/10.1002/oca.2459
Mesmer, F., Szabo, T., & Graichen, K. (2019). Feedforward control of a hydraulic clutch actuation path. In Proc. European Control Conference (ECC 2019) (pp. 620-626). Naples (Italy).
Mesmer, F., Szabo, T., & Graichen, K. (2019). Learning methods for the feedforward control of a hydraulic clutch actuation path. In Proc. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2019) (pp. 733-738). Hong Kong (China).
Lamprecht, A., Steffen, D., Häcker, J., & Graichen, K. (2019). Optimal control based reference generation for model predictive motion cueing algorithms. In 3rd IEEE Conference on Control Technology and Application (CCTA 2019). Hong Kong (China).
Jemaa, K., Kotman, P., Reimann, S., & Graichen, K. (2019). Tube-based internal model control of differentially flat input-affine SISO systems under input constraints. In 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS). Vienna (Austria).

Publications in addition (Download BibTeX)

Völz, A., & Graichen, K. (2015). Stochastic model predictive control of nonlinear continuous-time systems using the unscented transformation. In Proceedings of the European Control Conference, ECC 2015 (pp. 3365-3370). Institute of Electrical and Electronics Engineers Inc..

Last updated on 2019-24-04 at 10:15