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Convex piecewise-linear fitting
Springer Science and Business Media LLC - Tập 10 - Trang 1-17 - 2008
Alessandro Magnani, Stephen P. Boyd
We consider the problem of fitting a convex piecewise-linear function, with some specified form, to given multi-dimensional data. Except for a few special cases, this problem is hard to solve exactly, so we focus on heuristic methods that find locally optimal fits. The method we describe, which is a variation on the K-means algorithm for clustering, seems to work well in practice, at least on data...... hiện toàn bộ
On the quality of discrete representations in multiple objective programming
Springer Science and Business Media LLC - - 2009
Stacey L. Faulkenberg, Margaret M. Wiecek
Within the past ten years, emphasis has been placed on generating discrete representations of the nondominated set which are truly representative of the nondominated set as a whole. This paper reviews measures for assessing the quality of discrete representations as well as exact solution methods that attempt to produce representations satisfying certain quality criteria. The measures are classifi...... hiện toàn bộ
Transient gas pipeline flow: analytical examples, numerical simulation and a comparison to the quasi-static approach
Springer Science and Business Media LLC - Tập 24 - Trang 425-446 - 2021
Martin Gugat, Richard Krug, Alexander Martin
The operation of gas pipeline flow with high pressure and small Mach numbers allows to model the flow by a semilinear hyperbolic system of partial differential equations. In this paper we present a number of transient and stationary analytical solutions of this model. They are used to discuss and clarify why a PDE model is necessary to handle certain dynamic situations in the operation of gas tran...... hiện toàn bộ
Optimization methods in inverse problems and applications to science and engineering
Springer Science and Business Media LLC - Tập 22 - Trang 2151-2158 - 2021
H. Kunze, D. La Torre, M. Ruiz Galán
An adaptive discretization algorithm for the design of water usage and treatment networks
Springer Science and Business Media LLC - - 2019
Arie M. C. A. Koster, Sascha Kuhnke
A concurrent implementation of the surrogate management framework with application to cardiovascular shape optimization
Springer Science and Business Media LLC - Tập 21 - Trang 1487-1536 - 2020
Aekaansh Verma, Kwai Wong, Alison L. Marsden
The surrogate management framework (SMF) is an effective approach for derivative-free optimization of expensive objective functions. The SMF is typically comprised of surrogate-based infill methods (SEARCH step) coupled to pattern search optimization (POLL step). Although the latter is easy to parallelize, parallelization of the SEARCH step requires surrogate-based strategies that generate multipl...... hiện toàn bộ
Single-step auto-tuning of external active damping control strategy for a drill-string speed-controlled electrical drive
Springer Science and Business Media LLC - - Trang 1-27 - 2023
Danijel Pavković, Mihael Cipek, Matija Krznar, Tomislav Staroveški, Miho Klaić, Danko Brezak
This paper presents a single-step automatic tuning procedure and an estimator of key parameters of the drill-string system used in deep drilling applications. It is aimed at precise tuning of an external vibration suppression system based on speed control loop of the drilling electrical drive tuned for “stiff” motor-side speed control (the so-called speed source behavior), and the external drill-s...... hiện toàn bộ
Natural gas production network infrastructure development under uncertainty
Springer Science and Business Media LLC - - 2017
Xiang Li, Asgeir Tomasgård, Paul I. Barton
A novel pattern extraction method for time series classification
Springer Science and Business Media LLC - Tập 10 - Trang 253-271 - 2008
Xiaohang Zhang, Jun Wu, Xuecheng Yang, Haiying Ou, Tingjie Lv
Multivariate time series classification is of significance in machine learning area. In this paper, we present a novel time series classification algorithm, which adopts triangle distance function as similarity measure, extracts some meaningful patterns from original data and uses traditional machine learning algorithm to create classifier based on the extracted patterns. During the stage of patte...... hiện toàn bộ
A nonlinear programming technique to compute a tight lower bound for the real structured singular value
Springer Science and Business Media LLC - Tập 12 - Trang 445-458 - 2010
Ahmet Yazıcı, Abdurrahman Karamancıoğlu, Refail Kasimbeyli
The real structured singular value (RSSV, or real μ) is a useful measure to analyze the robustness of linear systems subject to structured real parametric uncertainty, and surely a valuable design tool for the control systems engineers. We formulate the RSSV problem as a nonlinear programming problem and use a new computation technique, F-modified subgradient (F-MSG) algorithm, for its lower bound...... hiện toàn bộ
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