Výsledky vyhledávání - "Jianzhe Zhen"

Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective

Autor: Jianzhe Zhen, Ahmadreza Marandi, Danique de Moor, Dick den Hertog, Lieven Vandenberghe

Publikováno v: INFORMS Journal on Computing, 34(5), 2410-2427. INFORMS Institute for Operations Research and the Management Sciences

In this paper, we focus on a subclass of quadratic optimization problems, that is, disjoint bilinear optimization problems. We first show that disjoint bilinear optimization problems can be cast as two-stage robust linear optimization problems with f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467ed6a88209a815e72693130833e9d8
https://doi.org/10.1287/ijoc.2022.1163

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Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees

Autor: Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler

Publikováno v: IEEE Transactions on Automatic Control, 68 (5)

We introduce a general framework for robust data-enabled predictive control (DeePC) for linear time-invariant systems, which enables us to obtain robust and optimal control in a receding-horizon fashion based on inexact input and output data. Robust

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f424c14a7c8f0e22db3d9e7ca20f7fa0

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Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments

Autor: Linbin Huang, John Lygeros, Jianzhe Zhen, Florian Dörfler

Publikováno v: 19th IFAC Symposium on System Identification, SYSID 2021
IFAC-PapersOnLine, 54 (7)

Data-driven control that circumvents the process of system identification by providing optimal control inputs directly from system data has attracted renewed attention in recent years. In this paper, we focus on understanding the effects of the regul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ebf3748db548b0a4c1cc2f1a8ae29a2

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Adjustable robust optimization via Fourier-Motzkin elimination

Autor: Jianzhe Zhen, Melvyn Sim, Dick den Hertog

Publikováno v: Operations Research, 66(4), 1086-1100. INFORMS Inst.for Operations Res.and the Management Sciences

We demonstrate how adjustable robust optimization (ARO) problems with fixed recourse can be cast as static robust optimization problems via Fourier–Motzkin elimination (FME). Through the lens of FME, we characterize the structures of the optimal de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d1c64f467e2d2f3afd58517b96a36a
https://doi.org/10.1287/opre.2017.1714

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Centered solutions for uncertain linear equations

Autor: Jianzhe Zhen, Dick den Hertog

Publikováno v: Computational Management Science, 14(4), 585-610. Springer Verlag

Our contribution is twofold. Firstly, for a system of uncertain linear equations where the uncertainties are column-wise and reside in general convex sets, we derive convex representations for united and tolerable solution sets. Secondly, to obtain c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65b513417f2927fd3081b151a7046f0d
https://doi.org/10.1007/s10287-017-0290-9

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Computing the maximum volume inscribed ellipsoid of a polytopic projection

Autor: Jianzhe Zhen, Dick den Hertog

Publikováno v: INFORMS Journal on Computing, 30(1), 31-42. INFORMS Inst.for Operations Res.and the Management Sciences

We introduce a novel scheme based on a blending of Fourier-Motzkin elimination (FME) and adjustable robust optimization techniques to compute the maximum volume inscribed ellipsoid (MVE) in a polytopic projection. It is well-known that deriving an ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed00f5014099b118cf8eb7367fa517c7
https://research.tilburguniversity.edu/en/publications/c345833d-9adc-47d3-b87d-ecbe0d6fb63c

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Robust Solutions for Systems of Uncertain Linear Equations

Autor: Jianzhe Zhen, Dick den Hertog

Publikováno v: SSRN Electronic Journal.

Our contribution is twofold. Firstly, for a system of uncertain linear equations where the uncertainties are column-wise and reside in general convex sets, we show that the intersection of the set of possible solutions and any orthant is convex. We d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc070646e826a12b502f224a7d56ecf2
https://doi.org/10.2139/ssrn.2651004

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Dual Approach for Two-Stage Robust Nonlinear Optimization

Autor: Frans J. C. T. de Ruiter, Jianzhe Zhen, Dick den Hertog

Publikováno v: Operations Research (2022)
Operations Research

In “Dual Approach for Two-Stage Robust Nonlinear Optimization,” de Ruiter, Zhen, and den Hertog study adjustable robust minimization problems where the objective or constraints depend in a convex way on the adjustable variables. They reformulate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::095083091aa962760be54457182c5aac
https://infoscience.epfl.ch/record/294721

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