Challenges and Goals

Engineers face the challenge to consider all possible uncertainties during the development of a technical product. This is a crucial point in every development process and needs special attention for safety critical systems. Therefore, guaranteed statements about the behavior of technical systems are particularly important.

The goal is to tackle complex as well as distributed parameter systems for a great variety of upcoming challenges.

Autonomous Driving	Energy Supply	Industry 4.0

To accomplish such challenges, innovative descriptions of these systems are required. The research group Guarantees by Design investigates methods to design specifications and develops systems which create (estimation) or satisfy (control) guaranteed boundaries.

In an estimation setting, these guarantees are interpreted as certain intervals enclosing the states while in the control setting, the guarantees are interpreted as operational limits which are given by the application.

Particularly methods weakening requirements, reducing or simplifying assumptions bear the potential to save time and costs. Furthermore, formalized methods are less error prone and are thus leading to more reliable results.

Staff

Student Assistents

Bachelor- and Master Students

	Fan Ge Master Thesis Modellprädiktive Regelung von Loop Heat Pipes im Satelliten		Philipp Benzing Master Thesis Robuste modellprädiktive Trajektorienplanung für autonome Fahrzeuge
	Tiancheng Wang Master Thesis Entwurf einer kombinierten Führungs- und Stellgrößenverteilung für ein überaktuiertes Fahrzeug		Hanwen Zhang Bachelor Thesis Validierung eines radselektiv angesteuerten Elektrofahrzeugs
	Hanzhe Wang Bachelor/-Master Thesis Entwurf einer generischen Trajektorienplanung für das Einparken eines multidirektional manövrierbaren Fahrzeugs		Laurin Ludmann Master Thesis Implementierung und Analyse kaskadierter modellprädiktiver Regler sowie dessen Potentialanalyse am Beispiel eines radselektiv angesteuerten Fahrzeugs
	Rajat Batni Master Thesis Untersuchung der Zusammenhänge zwischen dem Regelungsverhalten und dem Fahrwerksdesign eines autonomen radselektiv angesteuerten Fahrzeugs		Hesham Hendy Master Thesis Modellprädiktive Trajektorienplanung zur dynamischen Kollisionsvermeidung für autonome Quadrokopter

Open Theses Guarantees by Design
Title	Type	Supervisor
Implementierung eines Insassenmodells zur Analyse des Fahrkomforts radselektiv angesteuerter Fahrzeuge	Bachelor Thesis	M. Sc. Manuel Schwartz
Grafische Darstellung des Fahrwerks zur Untersuchung des kinematischen Verhaltens radselektiv angesteuerter Fahrzeuge	Bachelor Thesis	M. Sc. Manuel Schwartz
Modellbasierter Reglerentwurf für ein verkoppeltes Wärmetransportsystem im Satelliten	Master Thesis	M. Sc. Thomas Gellrich
Modellbasierter Entwurf eines Kompensationsreglers für oszillationsbehaftete Loop Heat Pipes	Master Thesis	M. Sc. Thomas Gellrich
Verifizierte Bahnplanung basierend auf stochastischen Erreichbarkeitsmethoden	Master Thesis	M. Sc. Florian Siebenrock
Verifikation von Fahrzeugtrajektorien basierend auf Erreichbarkeitsmethoden	Bachelor Thesis	M. Sc. Florian Siebenrock
Modellprädiktive Trajektorienplanung unter Verwendung von verifizierten Motion Primitives	Master Thesis	M. Sc. Florian Siebenrock
Modellprädiktive Trajektorienplanung unter Verwendung von Distanztransformationen	Master Thesis	M. Sc. Florian Siebenrock
Entwicklung einer Testumgebung von Trajektorienplanungen für automatisierte Quadrokopter	Bachelor Thesis	M. Sc. Florian Siebenrock

Publications

2020

LTV-MPC Based Trajectory Planning Considering Uncertain Object Prediction Through Adaptive Potential Fields.
Siebenrock, F.; Günther, M.; Hohmann, S.
2020. The 4th IEEE Conference on Control Technology and Applications (CCTA), Montréal, Canada, August 24 - 26, 2020
Explicit port-Hamiltonian formulation of multi-bond graphs for an automated model generation.
Pfeifer, M.; Caspart, S.; Hampel, S.; Muller, C.; Krebs, S.; Hohmann, S.
2020. Automatica, 120, Art. Nr.: 109121. doi:10.1016/j.automatica.2020.109121
Limited-Information Cooperative Shared Control for Vehicle-Manipulators [in press].
Varga, B.; Shahirpour, A.; Lemmer, M.; Schwab, S.; Hohmann, S.
2020. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Piscataway, NJ
Validation of Cooperative Shared-Control Concepts for Large Vehicle-Manipulators [in press].
Varga, B.; Shahirpour, A.; Burkhardt, Y.; Schwab, S.; Hohmann, S.
2020. 2020 IEEE Conference on Control Technology and Applications (CCTA), IEEE
Shared-Control Concepts for Large Vehicle-Manipulators.
Varga, B.; Burkhardt, Y.; Schwab, S.; Hohmann, S.
2020. 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 197–203, IEEE. doi:10.1109/ISIE45063.2020.9152208
Bias-free Parameter Identification for Non-Commensurable Fractional Systems.
Stark, O.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2020. 2020 European Control Conference (ECC), 1422–1429, EUCA
Predictive and Bounded Reference Generation of the Actuators of Four-wheel Drive and Four-wheel Steer Vehicles.
Schwartz, M.; Zhao, K.; Hohmann, S.
2020. IEEE CCTA 2020
Analytical Optimal Control Allocation with Time-varying Secondary Objectives.
Schwartz, M.; Mittelviefhaus, F.; Hohmann, S.
2020. IEEE ICCAR 2020
Robust Position and Velocity Tracking Control of a Four-wheel Drive and Four-wheel Steered Electric Vehicle.
Schwartz, M.; Rudolf, T.; Hohmann, S.
2020. IEEE ICCAR
Kinematic Sensitivity Analysis of the Suspension Characteristics for the Initial Design of Four-Wheel Drive and Four-Wheel Steered Vehicles.
Schwartz, M.; Goosmann, T.; Hohmann, S.
2020. WCX SAE World Congress Experience, Detroit, MI, April 21-23, 2020. Proceedings, SAE International, Warrendale (PA). doi:10.4271/2020-01-0990
Distributed Frequency Regulation for Heterogeneous Microgrids via Steady State Optimal Control.
Kölsch, L.; Dupuis, M.; Bhatt, K.; Krebs, S.; Hohmann, S.
2020. IEEE Green Technologies Conference, GreenTech 2020, 1 - 3 April 2020, Oklahoma City, USA
Dynamic Set-Inversion Procedure to Design Interval-Based State Estimators for Discrete-Time LPV Systems.
Krebs, S.; Meslem, N.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC 2019), Nice, F, December 11-13, 2019, 3190–3195, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029661
Interval Input-State-Output Estimation for Linear Port-Hamiltonian Systems with Application to Power Distribution Systems.
Pfeifer, M.; Krebs, S.; Hofmann, F.; Kupper, M.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 3176–3183, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029590
Computation of Orders of a Commensurable Fractional Order Model.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 784–790, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029742

2019

Bias-free Parameter Identification of a Fractional Order Model.
Stark, O.; Malan, A. J.; Krebs, S.; Hohmann, S.
2019. doi:10.5445/IR/1000117548
Steady-State Optimal Frequency Control for Lossy Power Grids with Distributed Communication.
Kölsch, L.; Bhatt, K.; Krebs, S.; Hohmann, S.
2019. IEEE International Conference on Electrical, Control and Instrumentation Engineering (ICECIE). Proceedings, 1–8, IEEE. doi:10.1109/ICECIE47765.2019.8974715
A Port-Hamiltonian Approach to Plug-And-Play Voltage and Frequency Control in Islanded Inverter-Based AC Microgrids.
Strehle, F.; Malan, A. J.; Krebs, S.; Hohmann, S.
2019. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019
Automated Generation of Explicit Port-Hamiltonian Models from Multi-Bond Graphs.
Pfeifer, M.; Caspart, S.; Pfeiffer, S.; Muller, C.; Krebs, S.; Hohmann, S.
2019. doi:10.5445/IR/1000104388
Nonlinear Model Identification Adaptive Heater Control Design for Loop Heat Pipes.
Gellrich, T.; Zhang, X.; Schwab, S.; Hohmann, S.
2019. IEEE Conference on Control Technology and Applications (CCTA), 679–684, IEEE, Piscataway, NJ. doi:10.1109/CCTA.2019.8920525
Verification of hybrid systems using Kaucher arithmetic.
Schwab, S.; Hohmann, S.
2019. Automatisierungstechnik, 67 (4), 316–325. doi:10.1515/auto-2018-0095
Control of Large Vehicle-Manipulators with Human Operator.
Varga, B.; Shahirpour, A.; Schwab, S.; Hohmann, S.
2019. IFAC-PapersOnLine, 52 (30), 373–378. doi:10.1016/j.ifacol.2019.12.571
AMOTO: Automatic MOdeling TOol for the Port-Hamiltonian Formulation of Bond Graphs.
Pfeiffer, S.; Muller, C.; Pfeifer, M.; Caspart, S.; Krebs, S.; Hohmann, S.
2019. VDI/VDE GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“. Tagung (2019), Anif, Austria, September 25–27, 2019
Explicit Port-Hamiltonian Formulation of Bond Graphs.
Pfeifer, M.; Pfeiffer, S.; Caspart, S.; Muller, C.; Krebs, S.; Hohmann, S.
2019. GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“, Anif, A, 25.-27. September 2019, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, Düsseldorf
Unknown input kalman filtering for linear discrete-time fractional order systems with direct feedthrough.
Kupper, M.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. 2019 18th European Control Conference (ECC), Napoli, Italy, June 25-28, 2019, 1848–1853, IEEE. doi:10.23919/ECC.2019.8795817
Model Predictive Control Allocation of an Over-actuated Electric Vehicle with Single Wheel Actuators.
Schwartz, M.; Siebenrock, F.; Hohmann, S.
2019. IFAC-PapersOnLine, 52 (8), 162–169. doi:10.1016/j.ifacol.2019.08.065
Guaranteed Verification of Dynamic Systems. PhD dissertation.
Schwab, S.
2019. Karlsruhe. doi:10.5445/IR/1000097068
Regenerative Breaking Strategies for Electric Heavy Duty Trucks.
Rudolf, T.; Bischof, F.; Schwab, S.; Hohmann, S.
2019. 6th SINO-EU Doctoral School for Sustainability Engineering (SESE 2019), Lisbon, Portugal, July 22–24, 2019
Current and State of Charge Estimation of Lithium-Ion Battery Packs Using Distributed Fractional Extended Kalman Filters.
Kupper, M.; Creutz, A.; Stark, O.; Krebs, S.; Hohmann, S.
2019. IEEE CCTA 2019, 462–469, IEEE, Piscataway (NJ). doi:10.1109/CCTA.2019.8920558
Unknown Input Kalman Filtering for Linear Discrete-Time Fractional Order Systems With Direct Feedthrough [in press].
Kupper, M.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. European Control Conference (ECC), Naples, Italy, 25–28 June 2019, IEEE, Piscataway (NJ)
An Extension of the Modulating Function Method for Online Parameter Identification of Initialized Fractional Order Models.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2019. 2019 International Conference on Fractional Calculus Theory and Applications (ICFCTA 2019), Bourges, F, April 25-26, 2019
Model predictive control and trajectory optimization of large vehicle-manipulators.
Varga, B.; Meier, S.; Schwab, S.; Hohmann, S.
2019. IEEE International Conference on Mechatronics (IEEE ICM 2019), Ilmenau, March 18-20, 2019, 60–66, IEEE, Picataway, NJ. doi:10.1109/ICMECH.2019.8722886
Passivity-Based Plug-and-Play Voltage and Frequency Control in Islanded Inverter-Based AC Microgrids.
Strehle, F.; Malan, A. J.; Krebs, S.; Hohmann Sören.
2019. 58th IEEE Conference on Decision and Control, Nice, F, December 11-13, 2019, 4648–4655, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029272
Automatic Determining of a Modulating Function.
Stark, O.; Eckert, M.; Krebs, S.; Hohmann, S.
2019. KIT, Karlsruhe. doi:10.5445/IR/1000092062
Interval Set-Membership State Estimator for Discrete-Time LPV Systems.
Krebs, S.; Hohmann, S.
2019. KIT, Karlsruhe. doi:10.5445/IR/1000091545
A Scalable Port-Hamiltonian Approach to Plug-and-Play Voltage Stabilization in DC Microgrids [submitted].
Strehle, F.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. IFAC-PapersOnLine [submitted]
Online Parameter Identification of a Fractional Order Model.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2019. 57th IEEE Conference on Decision and Control (CDC 2018), Miami, FL, December 17-19, 2018, 2303–2309, IEEE, Piscataway, NJ. doi:10.1109/CDC.2018.8619723
Non-linear MPC for winding loss optimised torque control of anisotropic PMSM.
Schnurr, C.; Hohmann, S.; Kolb, J.
2019. The Journal of Engineering, (17), 4252 – 4256. doi:10.1049/joe.2018.8143

2018

Non-linear MPC for winding loss optimised torque control of anisotropic PMSM.
Schnurr, C.; Hohmann, S.; Kolb, J.
2018, April 19. 9th International Conference on Power Electronics, Machines and Drives (PEMD 2018), Liverpool, GB, April 17, 2018–April 19, 2019
Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games.
Lemmer, M.; Köpf, F.; Schwab, S.; Flad, M.; Hohmann, S.
2018. 1st IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2018; Laguna Hills; United States; 26 September 2018 through 28 September 2018, 156–161, IEEE, Piscataway (NJ). doi:10.1109/AIKE.2018.00034
Novel Lexicographic MPC for Loss Optimized Torque Control of Nonlinear PMSM.
Schnurr, C.; Hohmann, S.; Kolb, J.
2018. 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, 21–24 August 2018, 690–697, IEEE. doi:10.1109/CCTA.2018.8511455
A Robust Fault Detection Method using a Zonotopic Kaucher Set-membership Approach.
Schwab, S.; Puig, V.; Hohmann, S.
2018. IFAC-PapersOnLine, 51 (24), 500–507. doi:10.1016/j.ifacol.2018.09.623
Weighted Least Squares State Estimation for Coupled Power and Gas Distribution Networks.
Pfeifer, M.; Zimmerlin, M.; Schwarzendorfer, M.; Sauter, P.; Krebs, S.; Leibfried, T.; Hohmann, S.
2018. 53rd International Universities Power Engineering Conference, Glasgow, Scotland, 4th-7th September 2018, IEEE, Piscataway, NJ. doi:10.1109/UPEC.2018.8542013
Intervallbeobachter für lineare parametervariante Systeme und deren Anwendung auf die Asynchronmaschine. PhD dissertation.
Krebs, S.
2018. KIT Scientific Publishing, Karlsruhe. doi:10.5445/KSP/1000086503
Combined Optimization of District Heating and Electric Power Networks.
Maurer, J.; Elsner, C.; Krebs, S.; Hohmann, S.
2018. Energy procedia, 149, 509–518. doi:10.1016/j.egypro.2018.08.215
Intervallbeobachter für lineare parametervariante Systeme und deren Anwendung auf die Asynchronmaschine. PhD dissertation.
Krebs, S.
2018. KIT, Karlsruhe. doi:10.5445/IR/1000085805
Cascaded Fractional Kalman Filtering for State and Current Estimation of Large-Scale Lithium-Ion Battery Packs.
Kupper, M.; Brenneisen, J.; Stark, O.; Krebs, S.; Hohmann, S.
2018. 2018 Chinese Control And Decision Conference (CCDC), 5071–5078, IEEE, Piscataway, NJ. doi:10.1109/CCDC.2018.8408010
Interval MRAC with Proven Stability Properties and Application on Induction Motor Control.
Müller, J.; Krebs, S.; Buchholz, M.; Hohmann, S.
2018. The 14th IEEE International Conference on Control and Automation (IEEE ICCA Alaska 2018), Anchorage, AK, June 12-15, 2018, 173–179, IEEE, Piscataway, NJ. doi:10.1109/ICCA.2018.8444328
Coupled boundary interval observer for LPV systems subject to uncertainties in input, output and parameters.
Krebs, S.; Bächle, M.; Hohmann, S.
2018. Automatica, 95, 426–432. doi:10.1016/j.automatica.2018.06.012
Automatisierte Verifikation hybrider Systeme am Beispiel eines Batteriemanagementsystems.
Schwab, S.; Hohmann, S.
2018. Entwurf komplexer Automatisierungssysteme : EKA 2018 : Beschreibungsmittel, Methoden, Werkzeuge und Anwendungen : 15. Fachtagung mit Workshop : 02. bis 03. März 2018 in Magdeburg. Hrsg.: Ulrich Jumar, Christian Diedrich, ifak / Otto-von-Guericke-Universität, Magdeburg

2017

Interval observers for LPV systems and application to the guaranteed state estimation of an induction machine.
Krebs, S.; Gellrich, T.; Hohmann, S.
2017. IFAC-PapersOnLine, 50 (1), 2794–2799. doi:10.1016/j.ifacol.2017.08.629
Examples on Verified Diagnosis of Safety Critical Dynamic Systems Based on Kaucher Interval Arithmetik.
Schwab, S.; Stark, O.; Hohmann, S.
2017, June 14. 10th Summer Workshop on Interval Methods, and 3rd International Symposium on Set Membership Applications, Reliability and Theory. (SWIM - SMART 2017), Manchester, UK, June 14 - 16, 2017
Verified Diagnosis of Safety Critical Dynamic Systems Based on Kaucher Interval Arithmetic.
Schwab, S.; Stark, O.; Hohmann, S.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017, 13414–13421. doi:10.1016/j.ifacol.2017.08.1939
Interval State Observer Based on a Time-Variant Transformation for LPV Systems and Application to Induction machines.
Krebs, S.; Fugel, S.; Hohmann, S.
2017. 1st IEEE Conference on Control Technology and Applications, CCTA 2017, Waikoloa, Hawaii USA, 27. - 30. Aug, 2017, 1077–1084, IEEE, Piscataway, NJ. doi:10.1109/CCTA.2017.8062602
Automated Verification of Switched Systems Using Hybrid Identification.
Schwab, S.; Holzmüller, B.; Hohmann, S.
2017. Cyber Physical Systems : Design, Modeling, and Evaluation. 6th International Workshop, Pittsburgh, PA, October 6, 2016. Ed.: C. Berger, 87–100, Springer International Publishing, Cham. doi:10.1007/978-3-319-51738-4_7

2016

Verification of battery management systems using hybrid identification.
Schwab, S.; Hohmann, S.
2016. SINO-EU Doctoral School for Sustainability Engineering Harbin Institute of Technology (HIT), Harbin, China, 29th August – 03rd September, 2016
Interval Modelling of a Voltage Source Inverter.
Krebs, S.; Köhrer, L.; Hohmann, S.
2016. 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), Glasgow, United Kingdom, 19-21 April 2016, 1–6, Curran Associates, Inc, Red Hook, NY. doi:10.1049/cp.2016.0336
Garantierte Zustandsschätzung für Asynchronmaschinen auf Basis eines Intervallbeobachters.
Krebs, S.; Hohmann, S.
2016. GMA-Fachausschuss 1.40, Workshop 2016, 21.-23.09.2016, Anif/ Salzburg
A New Modelling and Identification Approach for Guaranteed Inclusion of a Voltage Source Inverter’s Output Voltages.
Krebs, S.; Köhrer, L.; Hohmann, S.
2016. ICCAIS 2016 - International Conference on Control Automation & Information Sciences, October 27-29, 2016, Ansan, Korea, IEEE, Piscataway (NJ). doi:10.1109/ICCAIS.2016.7822445
Interval Observer for LPV Systems Based on Time-Variant Transformations.
Krebs, S.; Pfeifer, M.; Fugel, S.; Weigold, J.; Hohmann, S.
2016. 55th IEEE Conference on Decision and Control (CDC), December 12-14, 2016, Las Vegas, NV, USA, 4090–4096, IEEE, Piscataway. doi:10.1109/CDC.2016.7798889
Reduced-order hybrid interval observer for verified state estimation of an induction machine.
Krebs, S.; Schnurr, C.; Pfeifer, M.; Weigold, J.; Hohmann, S.
2016. Control engineering practice, 57, 157–168. doi:10.1016/j.conengprac.2016.09.004

2015

Interval observers for electrical traction drives.
Krebs, S.; Hohmann, S.
2015. Summer School of Sino-EU Doctoral School for Sustainability, 18.10.-19.10.2015, Lissabon

2014

Steering driver assistance system: A systematic cooperative shared control design approach.
Flad, M.; Otten, J.; Schwab, S.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3585–3592, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974486
Necessary and sufficient conditions for the design of cooperative shared control.
Flad, M.; Otten, J.; Schwab, S.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 1253–1259, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974086
A Cooperative and Competitive Workshop in Mechatronics Engineering.
Krebs, S.; Schmidt, S.; Matthiesen, S.; Hohmann, S.
2014. International Journal of Engineering Pedagogy, 4 (1), 13–17

2013

Cooperation-focused education in mechatronic engineering design projects.
Schmidt, S.; Lohmeyer, Q.; Krebs, S.; Hohmann, S.; Matthiesen, S.
2013. 15th International Conference on Engineering and Product Design Education: Design Education - Growing Our Future, EPDE 2013; Dublin; Ireland; 5 - 6 September 2013: Proceedings. Ed.: E. Bohemia, 296–301, The Design Society, Glasgow
Erschließung mechatronischer Synergiepotentiale durch kooperationsorientierte Lehre (koop-L).
Matthiesen, S.; Hohmann, S.; Schmidt, S.; Breitschuh, J.; Lohmeyer, Q.; Krebs, S.
2013. Standortvorteil Methodik : 11. Gemeinsames Kolloquium Konstruktionstechnik (KT 2013), 12. - 13. September 2013 in Aachen. Hrsg.: K. Brökel, Shaker, Aachen
Online identification of individual driver steering behaviour and experimental results.
Diehm, G.; Maier, S.; Flad, M.; Hohmann, S.
2013. Proceedings - 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013) : Manchester, United Kingdom, 13 - 16 October 2013, 221–227, IEEE, Piscataway (NJ). doi:10.1109/SMC.2013.44
An Identification Method for Individual Driver Steering Behaviour Modelled by Switched Affine Systems.
Diehm, G.; Maier, S.; Flad, ;.; Hohmann, S.
2013. 52nd IEEE Annual Conference on Decision and Control, Florence, Italy, Dec. 10 ‐13, 2013, 3547–3553, IEEE, Piscataway (NJ). doi:10.1109/CDC.2013.6760428

Guarantees by Design

Challenges and Goals

Staff

Christoph Schnurr

Florian Siebenrock

Manuel Schwartz

Andreas Zürcher

Christopher Bohn

Thomas Gellrich

Student Assistents

Bachelor- and Master Students

Fan Ge

Philipp Benzing

Tiancheng Wang

Hanwen Zhang

Hanzhe Wang

Laurin Ludmann

Rajat Batni

Hesham Hendy

Publications