His research on Control theory (sociology) frequently links to adjacent areas such as Control (management). His Control (management) study frequently draws connections between related disciplines such as Control theory (sociology). His Biochemistry study frequently intersects with other fields, such as Robustness (evolution). He conducted interdisciplinary study in his works that combined Robustness (evolution) and Gene. Matthias A. Müller connects Gene with Biochemistry in his research. Matthias A. Müller merges Model predictive control with Control system in his study. Matthias A. Müller integrates many fields, such as Control system and Model predictive control, in his works. He carries out multidisciplinary research, doing studies in Nonlinear system and Linear system. By researching both Linear system and Nonlinear system, he produces research that crosses academic boundaries.
Matthias A. Müller links relevant research areas such as Scheme (mathematics), Bounded function, Upper and lower bounds, Linear system and Periodic orbits in the realm of Mathematical analysis. Matthias A. Müller regularly ties together related areas like Mathematical analysis in his Scheme (mathematics) studies. Matthias A. Müller merges Linear system with Nonlinear system in his study. His work in Nonlinear system is not limited to one particular discipline; it also encompasses Nonlinear model. His work on Nonlinear model is being expanded to include thematically relevant topics such as Quantum mechanics. His work on Quantum mechanics is being expanded to include thematically relevant topics such as Exponential stability. His study on Geometry is interrelated to topics such as Quadratic equation and Constraint (computer-aided design). His Constraint (computer-aided design) study frequently intersects with other fields, such as Geometry. Many of his studies involve connections with topics such as Control theory (sociology) and Control (management).
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DeepGCNs: Can GCNs Go As Deep As CNNs?
Guohao Li;Matthias Muller;Ali Thabet;Bernard Ghanem.
international conference on computer vision (2019)
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Matthias Müller;Adel Bibi;Silvio Giancola;Salman Alsubaihi.
european conference on computer vision (2018)
Input/output-to-state stability and state-norm estimators for switched nonlinear systems
Matthias A. MüLler;Daniel Liberzon.
Data-Driven Model Predictive Control With Stability and Robustness Guarantees
Julian Berberich;Johannes Kohler;Matthias A. Muller;Frank Allgower.
IEEE Transactions on Automatic Control (2021)
Driving Policy Transfer via Modularity and Abstraction.
Matthias Müller;Alexey Dosovitskiy;Bernard Ghanem;Vladlen Koltun.
Conference on Robot Learning (2018)
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla;Matthias Müller;Antonio López;Vladlen Koltun.
arXiv: Robotics (2017)
Cooperative control of dynamically decoupled systems via distributed model predictive control
Matthias A. Müller;Marcus Reble;Frank Allgöwer.
International Journal of Robust and Nonlinear Control (2012)
Transgenic rat hearts overexpressing SERCA2a show improved contractility under baseline conditions and pressure overload.
Oliver J. Müller;Mathias Lange;Henning Rattunde;Hans Peter Lorenzen.
Cardiovascular Research (2003)
On Necessity and Robustness of Dissipativity in Economic Model Predictive Control
Matthias A. Muller;David Angeli;Frank Allgower.
IEEE Transactions on Automatic Control (2015)
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
Matthias Müller;Vincent Casser;Jean Lahoud;Neil Smith.
International Journal of Computer Vision (2018)
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