Zobrazeno 1 - 10
of 20 859
pro vyhledávání: '"Borrelli, A"'
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 system's closed-loop performance with respect to several control objectives over iterations of a repeated task. At each task iteration, collected
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
Autor:
Nykänen, Anton, Thiessen, Leander, Borrelli, Elsi-Mari, Krishna, Vijay, Knecht, Stefan, Pavošević, Fabijan
Quantum chemistry simulations offer a cost-effective way for computational design of BODIPY photosensitizers with potential use in photodynamic therapy (PDT). However, accurate predictions of photophysical properties, such as excitation energies, pos
Externí odkaz:
http://arxiv.org/abs/2404.16149