Results 71 to 80 of about 3,661,069 (207)
Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]
, 2009 Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Dartus, Denis +8 more
core +2 more sources
发电技术ObjectivesAs the proportion of renewable energy in power grids increases year by year, the volatility and uncertainty of the grid are significantly heightened, posing challenges to the safe operation of distribution networks.
WU Renbo, HUANG Yijun
doaj +1 more source
Decentralized Distributed Optimization for Saddle Point Problems [PDF]
We consider distributed convex-concave saddle point problems over arbitrary connected undirected networks and propose a decentralized distributed algorithm for their solution.
Kovalev, Dmitry +5 more
core +1 more source
Optimal Testing for Properties of Distributions
CoRR, 2015 Given samples from an unknown distribution $p$, is it possible to distinguish whether $p$ belongs to some class of distributions $\mathcal{C}$ versus $p$ being far from every distribution in $\mathcal{C}$? This fundamental question has received tremendous attention in statistics, focusing primarily on asymptotic analysis, and more recently in ...
Acharya, Jayadev +2 more
openaire +4 more sources
Distributed Kalman-filtering: Distributed optimization viewpoint [PDF]
2019 IEEE 58th Conference on Decision and Control (CDC), 2019 We consider the Kalman-filtering problem with multiple sensors which are connected through a communication network. If all measurements are delivered to one place called fusion center and processed together, we call the process centralized Kalman-filtering (CKF).
Kunhee Ryu, Juhoon Back
openaire +3 more sources
Exploiting Chordality in Optimization Algorithms for Model Predictive Control
, 2018 In this chapter we show that chordal structure can be used to devise efficient optimization methods for many common model predictive control problems.
Anders Hansson +3 more
core +1 more source
On convergence of the maximum block improvement method [PDF]
, 2015 . The MBI (maximum block improvement) method is a greedy approach to solving optimization problems where the decision variables can be grouped into a finite number of blocks. Assuming that optimizing over one block of variables while fixing all others is
Shuzhong Zhang +5 more
core +1 more source
Electronic enclosure design using distributed particle swarm optimization
, 2013 This article proposes a method for designing electromagnetic compatibility shielding enclosures using a peer-to-peer based distributed optimization system based on a modified particle swarm optimization algorithm.
Lewis, Andrew, Scriven, Ian, Lu, Junwei
core +1 more source
A state-based potential game approach for distributed voltage regulation in distribution networks
电力工程技术With the increasing penetration rate of renewable energy sources over recent years, voltage fluctuations and violations due to the inherent intermittency of renewable energy sources pose a great challenge to the safe and steady operation of distribution ...
PAN Jiangchao +4 more
doaj +1 more source
Energies, 2019 Smart home devices currently available on the market can be used for remote monitoring and control. Energy management systems can take advantage of this and deploy solutions that can be implemented in our homes.
Luis Gomes +3 more
doaj +1 more source