| A real-time algorithm for moving horizon state and parameter estimation P Kühl, M Diehl, T Kraus, JP Schlöder, HG Bock Computers & chemical engineering 35 (1), 71-83, 2011 | 324 | 2011 |
| Moving horizon estimation and nonlinear model predictive control for autonomous agricultural vehicles T Kraus, HJ Ferreau, E Kayacan, H Ramon, J De Baerdemaeker, M Diehl, ... Computers and electronics in agriculture 98, 25-33, 2013 | 107 | 2013 |
| High-speed moving horizon estimation based on automatic code generation HJ Ferreau, T Kraus, M Vukov, W Saeys, M Diehl 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 687-692, 2012 | 85 | 2012 |
| A moving horizon state estimation algorithm applied to the tennessee eastman benchmark process T Kraus, P Kuhl, L Wirsching, HG Bock, M Diehl 2006 IEEE International Conference on Multisensor Fusion and Integration for …, 2006 | 43 | 2006 |
| Nonlinear Model Predictive Control of a Thermal Management System for Electrified Vehicles using FMI. T Fischer, T Kraus, C Kirches, F Gauterin Modelica, 132:027, 2017 | 13 | 2017 |
| Erklärbare KI-Anforderungen, Anwendungsfälle und Lösungen T Kraus, L Ganschow, M Eisenträger, S Wischmann von Steffen Wischmann. Online verfügbar unter https://www. digitale …, 2021 | 11 | 2021 |
| Moving horizon observation for autonomous operation of agricultural vehicles JV Frasch, T Kraus, W Saeys, M Diehl 2013 European Control Conference (ECC), 4148-4153, 2013 | 9 | 2013 |
| Numerical methods for embedded optimisation and their implementation within the ACADO toolkit HJ Ferreau, B Houska, T Kraus, M Diehl 7th Conference-Computer Methods and Systems (CMS’09), Krakow, Poland, 13-29, 2009 | 9 | 2009 |
| Collaborative Engineering-Main features and challenges of cross-company collaboration in engineering of products and services M Kuenzel, T Kraus, S Straub 2019 IEEE International Conference on Engineering, Technology and Innovation …, 2019 | 8 | 2019 |
| Demonstration of a nonlinear model predictive control of a thermal management system for electric vehicles in real-time T Fischer, T Kraus, C Kirches, F Gauterin 2018 IEEE Conference on Control Technology and Applications (CCTA), 676-682, 2018 | 6 | 2018 |
| Real-time state and parameter estimation for NMPC-based feedback control with application to the Tennessee Eastman benchmark process T Kraus Master's thesis, University of Heidelberg, 2007 | 6 | 2007 |
| High-speed adaptive nonlinear predictive control for autonomous tractor navigation T Kraus, E Kayacan, J De Baerdemaeker, W Saeys IFAC Proceedings Volumes 46 (4), 135-140, 2013 | 5 | 2013 |
| Anwendungen und Lösungsansätze erklärbarer Künstlicher Intelligenz T Kraus, L Ganschow Digitalisierung souverän gestalten II: Handlungsspielräume in digitalen …, 2022 | 4 | 2022 |
| A state-space model of the threshing and separation process in axial units T Kraus, M Diehl, B Missotten, J De Baerdemaeker, W Saeys Proc. of the Bio-Robotics, 2009 | 3 | 2009 |
| Modeling grain threshing and separation for process monitoring. T Kraus, M Diehl, B Missotten, J Debaerdemaeker, T Coen, W Saeys | 2 | 2010 |
| Explainable AI - Requirements, Use Cases and Solutions T Kraus, L Ganschow, M Eisenträger, S Wischmann https://www.digitale-technologien.de/DT/Redaktion/EN/Downloads/Publikation …, 2022 | | 2022 |
| Real-time estimation and control for agricultural machinery T Kraus | | 2013 |
| Conference article T Fischer, T Kraus, C Kirches, F Gauterin | | |
