Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Kergus, P."'
This work brings together the moment matching approach based on Loewner functions and the classical Loewner framework based on the Loewner pencil in the case of bilinear systems. New Loewner functions are defined based on the bilinear Loewner framewo
Externí odkaz:
http://arxiv.org/abs/2311.06125
Autor:
Agner, Felix, Hansson, Jonas, Kergus, Pauline, Rantzer, Anders, Tarbouriech, Sophie, Zaccarian, Luca
We consider control of multiple stable first-order \review{agents} which have a control coupling described by an M-matrix. These agents are subject to incremental sector-bounded \review{input} nonlinearities. We show that such plants can be globally
Externí odkaz:
http://arxiv.org/abs/2311.00433
In this paper, the problem of electric vehicle (EV) charging at the workplace is addressed via a two-layer predictive algorithm. We consider a time of use (TOU) pricing model for energy drawn from the grid and try to minimize the charging cost incurr
Externí odkaz:
http://arxiv.org/abs/2307.08311
This paper aims at coordinating interconnected agents where the control input of each agent is limited by the control input of others. In that sense, the systems have to share a limited resource over a network. Such problems can arise in different ar
Externí odkaz:
http://arxiv.org/abs/2304.00915
In this work, the problem of switching control design for DC-DC boost converter is considered, in the case of operation under uncertain equilibrium condition arising due to perturbations in the input and load parameters. Assuming that these uncertain
Externí odkaz:
http://arxiv.org/abs/2212.03158
Using hydraulic models in control design in district heating networks can increase pumping efficiency and reduce sensitivity to hydraulic bottlenecks. These models are usually white-box, as they are obtained based on full knowledge of the district he
Externí odkaz:
http://arxiv.org/abs/2211.10395
Autor:
Kergus, Pauline, Gosea, Ion Victor
This work aims at tackling the problem of learning surrogate models from noisy time-domain data by means of matrix pencil-based techniques, namely the Hankel and Loewner frameworks. A data-driven approach to obtain reduced-order state-space models fr
Externí odkaz:
http://arxiv.org/abs/2202.09568
The 4th generation of district heating systems face a potential problem where lowered water temperatures lead to higher flow rates, which requires higher hydraulic capacity in terms of pipe and pump sizes. This increases the effect of the already exi
Externí odkaz:
http://arxiv.org/abs/2103.02300
The optimal control of a water reservoir systems represents a challenging problem, due to uncertain hydrologic inputs and the need to adapt to changing environment and varying control objectives. In this work, we propose a real-time learning-based co
Externí odkaz:
http://arxiv.org/abs/2012.13224
Autor:
Kergus, Pauline
Controlling infinite dimensional models remains a challenging task for many practitioners since they are not suitable for traditional control design techniques or will result in a high-order controller too complex for implementation. Therefore, the m
Externí odkaz:
http://arxiv.org/abs/2012.09069