Zobrazeno 1 - 10
of 7 100
pro vyhledávání: '"Borrelli P."'
Autor:
Preston, Riley J., Ke, Yaling, Rudge, Samuel L., Hertl, Nils, Borrelli, Raffaele, Maurer, Reinhard J., Thoss, Michael
Nonadiabatic coupling between electrons and molecular motion at metal surfaces leads to energy dissipation and dynamical steering effects during chemical surface dynamics. We present a theoretical approach to the scattering of molecules from metal su
Externí odkaz:
http://arxiv.org/abs/2410.05142
Autor:
Borrelli, Dario
This Letter introduces a generalization of known duplication-divergence models for growing random graphs. This general duplication-divergence model includes a new coupled divergence asymmetry rate, which allows to obtain the structure of random growi
Externí odkaz:
http://arxiv.org/abs/2409.16943
Autor:
Korhonen, Keijo, Vappula, Hetta, Glos, Adam, Cattaneo, Marco, Zimborás, Zoltán, Borrelli, Elsi-Mari, Rossi, Matteo A. C., García-Pérez, Guillermo, Cavalcanti, Daniel
Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. In this paper, we explore several practical techniques to enhance measurement accuracy using randomized measurements, focusin
Externí odkaz:
http://arxiv.org/abs/2409.02575
Autor:
Takahashi, Hideaki, Borrelli, Raffaele
The accurate description of the interaction of a quantum system with a its environment is a challenging problem ubiquitous across all areas of physics, and lies at the foundation of quantum mechanics theory. Here we pioneer a new strategy to create d
Externí odkaz:
http://arxiv.org/abs/2407.18880
Autor:
Kopp, Fionna B., Borrelli, Francesco
We present a Learning Model Predictive Controller (LMPC) for multi-modal systems performing iterative control tasks. Assuming availability of historical data, our goal is to design a data-driven control policy for the multi-modal system where the cur
Externí odkaz:
http://arxiv.org/abs/2407.06313
Autor:
Fork, Thomas, Borrelli, Francesco
We present a novel control-oriented motorcycle model and use it for computing racing lines on a nonplanar racetrack. The proposed model combines recent advances in nonplanar road models with the dynamics of motorcycles. Our approach considers the add
Externí odkaz:
http://arxiv.org/abs/2406.01726
We present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. Our main contribution is a methodology to consider friction and road contact safety on general smooth road geometry. We use this to develop an active safety
Externí odkaz:
http://arxiv.org/abs/2406.01724
This paper presents a data-driven Model Predictive Control (MPC) for energy-efficient urban road driving for connected, automated vehicles. The proposed MPC aims to minimize total energy consumption by controlling the vehicle's longitudinal motion on
Externí odkaz:
http://arxiv.org/abs/2405.14031
Multi-Objective Learning Model Predictive Control is a novel data-driven control scheme which improves a linear system's closed-loop performance with respect to several convex control objectives over iterations of a repeated task. At each task iterat
Externí odkaz:
http://arxiv.org/abs/2405.11698
Autor:
Monarkha, V. Y., Simbierowicz, S., Borrelli, M., van Gulik, R., Drobotun, N., Kuitenbrouwer, D., Bouman, D., Datta, D., Eskelinen, P., Mannila, E., Kaikkonen, J., Vesterinen, V., Govenius, J., Lake, R. E.
We report a comparative study on microwave control lines for a transmon qubit using: (i) flexible stripline transmission lines, and (ii) semi-rigid coaxial cables. During each experiment we performed repeated measurements of the energy relaxation and
Externí odkaz:
http://arxiv.org/abs/2405.09211