Zobrazeno 1 - 10
of 63 469
pro vyhledávání: '"optimal state"'
Quantum computing promises to solve problems previously deemed infeasible. However, high error rates necessitate quantum error correction for practical applications. Seminal experiments with zoned neutral atom architectures have shown remarkable pote
Externí odkaz:
http://arxiv.org/abs/2411.09738
This paper addresses the optimal state estimation problem for dynamic systems while preserving private information against an adversary. To dominate the adversary's estimation accuracy about private information in the mean square error (MSE) sense, t
Externí odkaz:
http://arxiv.org/abs/2410.08756
Human motion capture from monocular videos has made significant progress in recent years. However, modern approaches often produce temporal artifacts, e.g. in form of jittery motion and struggle to achieve smooth and physically plausible motions. Exp
Externí odkaz:
http://arxiv.org/abs/2410.07795
In this paper, we introduce turnpike arguments in the context of optimal state estimation. In particular, we show that the optimal solution of the state estimation problem involving all available past data serves as turnpike for the solutions of trun
Externí odkaz:
http://arxiv.org/abs/2409.14873
Autor:
Boichenko, Victor A.1 (AUTHOR) victor@ipu.ru, Belov, Alexey A.1 (AUTHOR), Andrianova, Olga G.1 (AUTHOR) andrianovaog@gmail.com
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 22, p3604. 19p.
Autor:
Zhang, Zhongfei a, b, c, Qu, Ting b, c, d, ⁎, Huang, George Q. b, d, e, Zhao, Kuo b, c, d, Zhang, Kai f, Li, Mingxing b, c, d, Zhang, Yongheng a, b, d, Liu, Lei a, Zhong, Haihui g
Publikováno v:
In Journal of Manufacturing Systems October 2024 76:385-410
We consider a class of stochastic control problems which has been widely used in optimal foraging theory. The state processes have two distinct dynamics, characterized by two pairs of drift and diffusion coefficients, depending on whether it takes va
Externí odkaz:
http://arxiv.org/abs/2404.07618
This paper presents a novel distribution-agnostic Wasserstein distance-based estimation framework. The goal is to determine an optimal map combining prior estimate with measurement likelihood such that posterior estimation error optimally reaches the
Externí odkaz:
http://arxiv.org/abs/2403.13828