Zobrazeno 1 - 10
of 7 206
pro vyhledávání: '"A. Doerfler"'
This article explores a flexible and coordinated control design for an aggregation of heterogeneous distributed energy resources (DERs) in a dynamic virtual power plant (DVPP). The control design aims to provide a desired aggregate grid-forming (GFM)
Externí odkaz:
http://arxiv.org/abs/2410.14912
We study the convex-concave bilinear saddle-point problem $\min_x \max_y f(x) + y^\top Ax - g(y)$, where both, only one, or none of the functions $f$ and $g$ are strongly convex, and suitable rank conditions on the matrix $A$ hold. The solution of th
Externí odkaz:
http://arxiv.org/abs/2410.14592
Understanding the mechanical interplay between silicon anodes and their surrounding solid-electrolyte interphase (SEI) is essential to improve the next generation of lithium-ion batteries. We model and simulate a 2D elliptical silicon nanowire with S
Externí odkaz:
http://arxiv.org/abs/2409.07991
Maximum Likelihood Estimation of continuous variable models can be very challenging in high dimensions, due to potentially complex probability distributions. The existence of multiple interdependencies among variables can make it very difficult to es
Externí odkaz:
http://arxiv.org/abs/2409.03495
Personalized content on social platforms can exacerbate negative phenomena such as polarization, partly due to the feedback interactions between recommendations and the users. In this paper, we present a control-theoretic recommender system that expl
Externí odkaz:
http://arxiv.org/abs/2408.16899
Learning the unknown causal parameters of a linear structural causal model is a fundamental task in causal analysis. The task, known as the problem of identification, asks to estimate the parameters of the model from a combination of assumptions on t
Externí odkaz:
http://arxiv.org/abs/2407.12528
Autor:
Doerfler, Periwinkle, Turk, Kieron Ivy, Geeng, Chris, McCoy, Damon, Ackerman, Jeffrey, Dragiewicz, Molly
In this work, we analyze two large-scale surveys to examine how individuals think about sharing smartphone access with romantic partners as a function of trust in relationships. We find that the majority of couples have access to each others' devices
Externí odkaz:
http://arxiv.org/abs/2407.04906
Diffusion regulates numerous natural processes and the dynamics of many successful generative models. Existing models to learn the diffusion terms from observational data rely on complex bilevel optimization problems and model only the drift of the s
Externí odkaz:
http://arxiv.org/abs/2406.12616
We study optimization problems whereby the optimization variable is a probability measure. Since the probability space is not a vector space, many classical and powerful methods for optimization (e.g., gradients) are of little help. Thus, one typical
Externí odkaz:
http://arxiv.org/abs/2406.10676
We study the problem of nonepisodic reinforcement learning (RL) for nonlinear dynamical systems, where the system dynamics are unknown and the RL agent has to learn from a single trajectory, i.e., without resets. We propose Nonepisodic Optimistic RL
Externí odkaz:
http://arxiv.org/abs/2406.01175