Results 111 to 120 of about 256,176 (302)
Stochastic integer programming
We consider empirical approximations of two-stage stochastic mixed-integer programs and derive central limit theorems for the objectives and optimal values. The limit theorems are based on empirical process theory and the functional delta method. We also show how these limit theorems can be used to derive confidence intervals for optimal values via a ...
Eichhorn, Andreas, Römisch, Werner
openaire +1 more source
Scenario‐Based Platoon Lane Network Design
ABSTRACT A truck platoon is a set of trucks that drive behind one another at short headways to save fuel, reduce emissions, and improve traffic throughput. Despite the potential benefits of platooning, road operators have raised concerns about the impact of platoons on surrounding traffic.
Anirudh Kishore Bhoopalam +2 more
wiley +1 more source
ALM model for pension funds : numerical results for a prototype model [PDF]
A multistage mixed-integer stochastic programming model is formulated for an Asset Liability Management problem for pension funds. Since these models are too difficult to solve for realistically sized problems, a heuristic is described. Numerical results
Drijver, Sibrand J. +2 more
core +1 more source
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette +3 more
wiley +1 more source
Modelling of Multi-Scale Uncertainties in Biofuel Supply Chain Optimization
Although strategic and operational uncertainties differ in significance of impact, a “one-size-fits-all” approach has been typically used to tackle all types of uncertainty in the optimal design and operations of supply chains. In this work, we propose a
D. Yue, F. You
doaj +1 more source
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam +2 more
wiley +1 more source
An Algorithmic Theory of Integer Programming
We study the general integer programming problem where the number of variables $n$ is a variable part of the input. We consider two natural parameters of the constraint matrix $A$: its numeric measure $a$ and its sparsity measure $d$.
Eisenbrand, Friedrich +5 more
core
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe +3 more
wiley +1 more source
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
Research on self-healing control of smart grid considering the randomness of distributed new energy
Improving the self-healing ability of distribution network under fault conditions is of great significance to ensure the stable operation of power grid, the reliability of power supply to users, and the intelligence of power grid.
LU Jian +4 more
doaj +1 more source

