Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Aolaritei, Liviu"'
We study model predictive control (MPC) problems for stochastic LTI systems, where the noise distribution is unknown, compactly supported, and only observable through a limited number of i.i.d. noise samples. Building upon recent results in the liter
Externí odkaz:
http://arxiv.org/abs/2304.12093
We study stochastic dynamical systems in settings where only partial statistical information about the noise is available, e.g., in the form of a limited number of noise realizations. Such systems are particularly challenging to analyze and control,
Externí odkaz:
http://arxiv.org/abs/2304.02235
We study optimal transport-based distributionally robust optimization problems where a fictitious adversary, often envisioned as nature, can choose the distribution of the uncertain problem parameters by reshaping a prescribed reference distribution
Externí odkaz:
http://arxiv.org/abs/2303.03900
Wasserstein distributionally robust optimization has recently emerged as a powerful framework for robust estimation, enjoying good out-of-sample performance guarantees, well-understood regularization effects, and computationally tractable dual reform
Externí odkaz:
http://arxiv.org/abs/2206.13269
This paper addresses the limitations of standard uncertainty models, e.g., robust (norm-bounded) and stochastic (one fixed distribution, e.g., Gaussian), and proposes to model uncertainty via Optimal Transport (OT) ambiguity sets. These constitute a
Externí odkaz:
http://arxiv.org/abs/2205.00343
The aggressive integration of distributed renewable sources is changing the dynamics of the electric power grid in an unexpected manner. As a result, maintaining conventional performance specifications, such as transient stability, may not be suffici
Externí odkaz:
http://arxiv.org/abs/1803.02896
Publikováno v:
IEEE Transactions on Control of Network Systems, Volume: 6 , Issue: 3 , Sept. 2019
The wide deployment of renewable generation and the gradual decrease in the overall system inertia make modern power grids more vulnerable to transient instabilities and unacceptable frequency fluctuations. Time-domain simulation-based assessment of
Externí odkaz:
http://arxiv.org/abs/1803.00817
Publikováno v:
IEEE Transactions on Power Systems, vol. 33 no. 6, pp. 6705-6714, 2018
We consider the problem of quantifying and assessing the steady-state voltage stability in radial distribution networks. Our approach to the voltage stability problem is based on a local, approximate, and yet highly accurate characterization of the d
Externí odkaz:
http://arxiv.org/abs/1710.10544
We consider the problem of characterizing and assessing the voltage stability in power distribution networks. Different from previous formulations, we consider the branch-flow parametrization of the power system state, which is particularly effective
Externí odkaz:
http://arxiv.org/abs/1612.00207
Publikováno v:
In IFAC PapersOnLine July 2017 50(1):13240-13245
