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17th Conference on applied Mathematics, APLIMAT 2018

作者： Palenčár, Jakub Kubis, Milan Institute of automation measurement and applied informatics Slovak University of Technology in Nám. slobody 17 Bratislava812 31 Slovakia

ISBN: (纸本)9788022747653

This article is focused on modeling and design of thermal control of distributed parameter systems. Partial differential equations describe the dynamics of these systems. Currently, to solve these equations using numerical methods, concrete the finite elements method. The numerical model was created based on the finite elements method using software COMSOL Multiphysics, which is adequate for modeling the process of casting. This software was linked with MATLAB & Simulink environment, where control of temperature fields in casting mold was simulated. Linked software provides for foundry practice to include the possibility of controlling the process at the very beginning of the design and by the can reduce the cost of casting production. © 2018 Slovak University of Technology in Bratislava. All Rights Reserved.

关键词： Simulink

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BME-has system for CoNLL–SIGMORPHON 2018 shared task: Universal morphological reinflection

BME-has system for CoNLL–SIGMORPHON 2018 shared task: Unive...

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2018 CoNLL-SIGMORPHON Shared Task: Universal Morphological Reinflection, CoNLL 2018

作者： Ács, Judit Department of Automation and Applied Informatics Budapest University of Technology and Economics Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Hungary

This paper presents an encoder-decoder neural network based solution for both subtasks of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. All of our models are sequence-to-sequence neural... 详细信息

ISBN: (纸本)9781948087834

关键词： Decoding

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Robust method for finding the center and the scatter matrix of the cluster

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Journal of Physics: Conference Series 2020年第1期1479卷

作者： Z M Shibzukhov Instute of Mathematics and Informatics of MPGU Moscow Russia Institute of Applied Mathematics and Automation KBSC RAS Nalchick Russia

The problem of finding the centers and scattering matrices for a finite set of points containing outliers in a multidimensional space is considered. A new approach is considered in which instead of the arithmetic mean, differentiable mean values are used that are insensitive to outliers. An iterative reweighting scheme for searching for centers and corresponding scattering matrices for the Mahalanobis distance is considered. The examples presented in the article show the robustness property of the proposed method and algorithm with respect to a large number of outliers.

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A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems

A Parallel Decomposition Scheme for Solving Long-Horizon Opt...

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IEEE Annual Conference on Decision and Control

作者： Sungho Shin Timm Faulwasser Mario Zanon Victor M. Zavala Department of Chemical and Biological Engineering University of Wisconsin-Madison Madison WI USA Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany IMT Lucca Lucca Italy

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

We present a temporal decomposition scheme for solving long-horizon optimal control problems. The time domain is decomposed into a set of subdomains with partially overlapping regions. Subproblems associated with the subdomains are solved in parallel to obtain local primal-dual trajectories that are assembled to obtain the global trajectories. We provide a sufficient condition that guarantees convergence of the proposed scheme. This condition states that the effect of perturbations on the boundary conditions (i.e., the initial state and terminal dual/adjoint variable) should decay asymptotically as one moves away from the boundaries. This condition also reveals that the scheme converges if the size of the overlap is sufficiently large and that the convergence rate improves with the size of the overlap. We prove that linear quadratic problems satisfy the asymptotic decay condition, and we discuss numerical strategies to determine if the condition holds in more general cases. We draw upon a non-convex optimal control problem to illustrate the performance of the proposed scheme.

关键词： Trajectory Convergence Optimal control Time-domain analysis Sensitivity Economics Manganese

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Towards a FAIR-DICE IAM: Combining DICE and FAIR Models

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IFAC-PapersOnLine 2018年第5期51卷 126-131页

作者： Faulwasser, Timm Nydestedt, Robin Kellett, Christopher M. Weller, Steven R. Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Department of Mathematics Royal Institute of Technology Lindstedtsvägen 25 Stockholm Sweden School of Electrical Engineering and Computing University of Newcastle CallaghanNew South Wales2308 Australia

The estimation of the Social Cost of Carbon Dioxide (SC-CO2) is one of the essential purposes of Integrated Assessment Models (IAMs) used in the economics of climate change. One of the most widely used IAMs in this context is DICE. However, the DICE geophysical subsystem fails to account for feedback from the climate subsystem to the carbon subsystem, an effect recently observed in climate physics. This paper investigates how to combine the recently proposed FAIR climate model with the socioeconomic subsystem of DICE. Based on an analysis of its differential-algebraic structure, we propose an efficient discretization of FAIR that provides a new discrete-time hybrid of DICE and FAIR denoted as FAIR-DICE. Finally, we compare estimates of the SC-CO2 obtained with DICE2013 with those obtained via FAIR-DICE. © 2018

关键词： Climate models Algebra Carbon dioxide Climate change Differential equations Economics DICE Differential algebraic equations FAIR Integrated assessment models Optimal controls

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A validated high-resolution hydro power time-series model for energy systems analysis

arXiv

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arXiv 2019年

作者： Liu, Hailiang Andresen, Gorm Bruun Brown, Tom Greiner, Martin Department of Engineering Aarhus University Inge Lehmanns Gade 10 Aarhus C8000 Denmark Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany

We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the popular renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. For a demonstration, we focus on 41 Chinese reservoir-based hydro stations as a demo, determine their upstream basin areas, estimate their inflow based on gridded surface runoff data and validate their daily inflow time series in terms of both flow volume and potential power generation. Furthermore, we showcase an application of these time series with hydro cascades in energy system long term investment planning. Our method's novelty lies in: • it is based on highly resolved spatial-temporal datasets;• both data and algorithms used here are globally applicable;• it includes a hydro cascade model that can be integrated into energy system simulations. Copyright © 2019, The Authors. All rights reserved.

关键词： Hydroelectric power

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Learning Industrial Cyber-Physical Systems and Industry 4.0-Compliant Solutions

Learning Industrial Cyber-Physical Systems and Industry 4.0-...

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Industrial Cyber-Physical Systems (ICPS)

作者： Armando Walter Colombo Gerrit Jan Veltink Jorge Roa María Laura Caliusco Institute for Industrial Informatics Automation and Robotics (I2AR) University of Applied Sciences Emden/Leer Emden Germany CIDISI Universidad Tecnológica Nacional Facultad Regional Santa Fe Santa Fe Argentina CIDISI-CONICET Universidad Tecnológica Nacional Facultad Regional Santa Fe Santa Fe Argentina

ISBN: (数字)9781728163895

ISBN: (纸本)9781728163901

The growing importance of Cyber-Physical Systems (CPS) in industry results in a large demand for CPS talent and know-how. The mission of academia is to address the needs of industry for CPS engineers and to develop a curriculum to fill the existing gaps in the qualification of the CPS workforce. This curriculum for a Master of Industrial informatics has to take into account the particular needs of local industry in order to prepare human-forces capable to work and live with Industrial CPS (ICPS) and Industry 4.0-compliant environments. This paper introduces the ICPS field with emphasis in technological solutions and presents a Binational (Germany-Argentina) Master's Program in Industrial informatics, mapped into the RAMI 4.0 specification, developed in conjunction between Universidad Tecnológica Nacional - Facultad Regional Santa Fe (Argentina) and University of applied Sciences Emden/Leer (Germany) for teaching Industrial Cyber-Physical Systems (ICPS) in both countries.

关键词： Industries informatics IEC Standards Cyber-physical systems Business Knowledge engineering Mechatronics

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Roadmap on Neuromorphic Photonics

arXiv

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arXiv 2025年

作者： Brunner, Daniel Shastri, Bhavin J. Al-Qadasi, Mohammed A. Ballani, H. Barbay, Sylvain Biasi, Stefano Bienstman, Peter Bilodeau, Simon Bogaerts, Wim Böhm, Fabian Brennan, G. Buckley, Sonia Cai, Xinlun Strinati, Marcello Calvanese Canakci, B. Charbonnier, Benoit Chemnitz, Mario Chen, Yitong Cheung, Stanley Chiles, Jeff Choi, Suyeon Christodoulides, Demetrios N. Chrostowski, Lukas Chu, J. Clegg, J.H. Cletheroe, D. Conti, Claudio Dai, Qionghai Di Lauro, Luigi Diamantopoulos, Nikolaos-Panteleimon Dinc, Niyazi Ulas Ewaniuk, Jacob Fan, Shanhui Fang, Lu Franchi, Riccardo Freire, Pedro Gentilini, Silvia Gigan, Sylvain Giorgi, Gian Luca Gkantsidis, C. Gladrow, J. Goi, Elena Goldmann, M. Grabulosa, A. Gu, Min Guo, Xianxin Hejda, Matěj Horst, F. Hsieh, Jih-Liang Hu, Jianqi Hu, Juejun Huang, Chaoran Hurtado, Antonio Jaurigue, Lina Kalinin, K.P. Kamalian-Kopae, Morteza Kelly, D.J. Khajavikhan, Mercedeh Kremer, H. Laydevant, Jeremie Lederman, Joshua C. Lee, Jongheon Lenstra, Daan Li, Gordon H.Y. Li, Mo Li, Yuhang Lin, Xing Lin, Zhongjin Lis, Mieszko Lüdge, Kathy Lugnan, Alessio Lupo, Alessandro Lvovsky, A.I. Manuylovich, Egor Marandi, Alireza Marchesin, Federico Massar, Serge McCaughan, Adam N. McMahon, Peter L. Moralis-Pegios, Miltiadis Morandotti, Roberto Moser, Christophe Moss, David J. Mukherjee, Avilash Nikdast, Mahdi Offrein, B.J. Oguz, Ilker Oripov, Bakhrom O'Shea, G. Ozcan, Aydogan Parmigiani, F. Pasricha, Sudeep Pavanello, Fabio Pavesi, Lorenzo Peserico, Nicola Pickup, L. Pierangeli, Davide Pleros, Nikos Porte, Xavier Primavera, Bryce A. Prucnal, Paul Psaltis, Demetri Puts, Lukas Qiao, Fei Rahmani, B. Raineri, Fabrice Ríos Ocampo, Carlos A. Robertson, Joshua Romeira, Bruno Roques-Carmes, Charles Rotenberg, Nir Rowstron, A. Schoenhardt, Steffen Schwartz, Russell L.T. Shainline, Jeffrey M. Shekhar, Sudip Skalli, A. Sohoni, Mandar M. Sorger, Volker J. Soriano, Miguel C. Spall, James Stabile, Ripalta Stiller, Birgit Sunada, Satoshi Tefas, Anastasios Tossoun, Bassem Tsakyridis, Apostolos Turitsyn, Sergei K. Van der Sande, G Université Marie et Louis Pasteur CNRS UMR 6174 Institut FEMTO-ST Besançon25000 France Centre for Nanophotonics Department of Physics Engineering Physics & Astronomy Queen's University Canada Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada Microsoft Research Cambridge United Kingdom Université Paris-Saclay CNRS Centre de Nanosciences et de Nanotechnologies France Nanoscience Laboratory Department of Physics University of Trento Italy Photonics Research Group Department of Information Technology Ghent University imec Belgium Princeton University NJ United States Hewlett Packard Labs Hewlett Packard Enterprise Böblingen Germany National Institute of Standards and Technology BoulderCO United States State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-sen University China Enrico Fermi Research Center Rome Italy Université Grenoble-Alpes CEA Leti Grenoble France Leibniz-Institute of Photonic Technology Jena Germany Institute of Applied Optics and Biophysics Jena Germany Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering North Carolina State University NC United States Department of Electrical Engineering Stanford University CA United States University of Southern California Los AngelesCA United States Department of Physics Sapienza University Rome Italy Institute for Complex Systems National Research Council Rome Italy Varennes Canada NTT Device Technology Labs NTT Corporation Kanagawa Atsugi Japan Institute of Electrical and Microengineering School of Engineering École Polytechnique Fédérale de Lausanne Switzerland Edward L. Ginzton Laboratory Stanford University StanfordCA United States Department of Electronic Engineering Tsinghua University China Beijing National Research Center for Information Science and Technology Tsinghua University China Aston Univ

Neuromorphic photonics are processors inspired by the human brain and enabled by light (photons) instead of traditional electronics. Neuromorphic photonics and its associated concepts are experiencing a significant resurgence, building on foundational research from the 1980s and 1990s. This renewed momentum is driven by breakthroughs in photonic integration, nonlinear optics, and advanced materials, alongside the growing necessity of neuro-inspired computing in numerous applications of economic and societal relevance. The increasing demand for energy-efficient artificial intelligence (AI) solutions underscores the need for innovation and a cohesive vision to address key challenges, including scalability, energy efficiency, precision, and standardized performance benchmarks. Together, these efforts present an opportunity to establish a unique photonic advantage with practical, real-world applications. This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field. The roadmap introduces various approaches to embedding the high-complexity transformations central to neuromorphic computing, focusing on frequency, delay, and spectral embeddings. This is followed by a discussion of architectures of photonic neural networks (PNNs) and an in-depth analysis of methods for implementing these architectures in photonic hardware. Dedicated sections delve into integrated photonic hardware, the realization of photonic weights and memories, and the optimization of training processes for photonic neuromorphic architectures. The roadmap concludes by exploring numerous potential applications, highlighting the challenges and advances necessary to transition neuromorphic photonic computing from a primarily academic pursuit to a technolog

关键词： Philosophical aspects

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Auction Design to use Flexibility Potentials in the Energy-Intensive Industry

Auction Design to use Flexibility Potentials in the Energy-I...

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International Conference on the European Energy Market

作者： Nicole Ludwig Ralf Mikut Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology

In the present paper, we propose auction designs to use flexibility potentials in the energy intensive industry. More specifically, we investigate a large chemical industrial site, which consists of several small production facilities. Given data of the potential energy flexibility of these facilities, we analyse which auctions could be used to make the production managers change their operational decisions from a pure production schedule focus to a more energy usage based focus that supports an energy grid with high renewable energy penetration.

关键词： Auction Energy Systems Flexibility Industrial Processes

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Using a semi-automated job-shop production system model to prepare students for the challenges of Industrial Cyber-Physical Systems

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Procedia Manufacturing 2019年 31卷 377-383页

作者： Agnes Pechmann Jeffrey Wermann Armando Walter Colombo Maximilian Zarte University of Applied Sciences Emden/Leer Faculty of Technology Constantia Platz 4 26723 Emden Germany Institute for Industrial Informatics Automation and Robotics (I2AR) Constantia Platz 4 26723 Emden Germany

Though the engineering methods, tools, and standards for Industrial Cyber-Physical Systems (ICPS) have become mature and get more defined, the challenges to apply them to develop production systems towards ICPS remain difficult to grasp for experts and practitioners and even more for students. “Digitalization and Virtualization of ICPS” (DVoICPS) is a subject relevant to different student groups in informatics, electronics, mechanical engineering, and others. To teach the idea behind DVoICPS and to sensitize students to the different challenges of the cyber and of the physical world, a semi-automated job-shop production system (model) was adopted. Three types of products were manufactured with different operations. The student tasks included evolving the legacy system toward an ICPS system with improved production performance indicators. The improvements had to be feasible for the physical model, consisting of fischertechnik© elements. Students also had to describe modules of the system as ICPS components and build an executable virtual model of the evolved system, simulating it. Additionally, the students needed to plan and describe aspects for digitalizing the system itself. This paper describes the learning concept of the teaching module, the challenges of teaching students with different disciplinary backgrounds, and the students’ deliverables and learning effects. The paper concludes with summary and proposed changes to the teaching concepts for the next round of teaching.

关键词： Learning factory multi-disciplinary teaching ICPS Industry 4.0 curricula tertiary teaching

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