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Matrix-Weighted Networks for Modeling Multidimensional Dynamics: Theoretical Foundations and Applications to Network Coherence

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Physical Review Letters 2025年第23期134卷 237401-237401页

作者： Yu Tian Sadamori Kojaku Hiroki Sayama Renaud Lambiotte Nordita Stockholm University and KTH Royal Institute of Technology Stockholm SE-106 91 Sweden Center for Systems Biology Dresden Dresden 01307 Germany School of Systems Science and Industrial Engineering and Binghamton Center of Complex Systems Binghamton University Binghamton New York 13902-6000 USA Waseda Innovation Lab Waseda University Tokyo 169-8050 Japan Mathematical Institute University of Oxford Oxford OX2 6GG United Kingdom

Networks are powerful tools for modeling interactions in complex systems. While traditional networks use scalar edge weights, many real-world systems involve multidimensional interactions. For example, in social networks, individuals often have multiple interconnected opinions that can affect different opinions of other individuals, which can be better characterized by matrices. We propose a general framework for modeling such multidimensional interacting dynamics: matrix-weighted networks (MWNs). We present the mathematical foundations of MWNs and examine consensus dynamics and random walks within this context. Our results reveal that the coherence of MWNs gives rise to nontrivial steady states that generalize the notions of communities and structural balance in traditional networks.

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Thermodynamic mechanism and data hybrid driven model based marine diesel engine turbocharger anomaly detection with performance analysis 11

Thermodynamic mechanism and data hybrid driven model based m...

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11th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2019

作者： He, Xiao Wei, Muheng Qiu, Bohua Wang, Jia Yang, Ying Oceanic Intelligent Technology Innovation Center CSSC Systems Engineering Research Institute Beijing100036 China College of Information Science and Technology Beijing University of Chemical Technology Beijing100029 China State Key Lab for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University Beijing100871 China

ISBN: (纸本)9781728106816

For the marine low-speed diesel engine, the performance evaluation based turbocharger anomaly detection plays an important role in the condition monitoring process. A thermodynamic mechanism and data hybrid driven model is proposed for the turbocharger anomaly detection in this paper. The turbocharger efficiency, as the Key Performance Indicator (KPI), is modeled using the thermodynamic mechanism method. In the monitoring process, the turbocharger healthy baseline is established with the data-driven method, which divides the efficiency space into 'Normal Area' and 'Fault Area'. Results of the presented method are verified by the studies of the real low-speed diesel engine monitoring case on a large ocean-going bulk carrier. © 2019 IEEE.

关键词： Anomaly detection

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ESND: An embedding-based framework for signed network dismantling

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Expert systems with Applications 2025年 289卷

作者： Xie, Chenwei Liu, Chuang Li, Cong Zhan, Xiu-Xiu Li, Xiang Research Center for Complexity Sciences Hangzhou Normal University Hangzhou311121 China Department of Electronic Engineering School of Information Science and Technology Adaptive Networks and Control Lab Fudan University Shanghai200433 China College of Media and International Culture Zhejiang University Hangzhou310058 China Research Institute of Intelligent Complex Systems Fudan University Shanghai200433 China

Network dismantling aims to maximize the disintegration of a network by removing a specific set of nodes or edges and is applied to various tasks in various domains, such as cracking down on crime organizations, delaying the propagation of rumors, and blocking the transmission of viruses. Most of the current network dismantling methods are tailored for unsigned networks, which only consider the connection between nodes without evaluating the nature of the relationships, such as friendship/hostility, enhancing/repressing, and trust/distrust. We here propose an embedding-based algorithm, namely ESND, to solve the signed network dismantling problem. The algorithm generally iterates the following four steps, i.e., giant component detection, network embedding, node clustering, and removal node selection. To illustrate the efficacy and stability of ESND, we conduct extensive experiments on six signed network datasets as well as null models, and compare the performance of our method with baselines. Experimental results consistently show that the proposed ESND is superior to the baselines and displays stable performance with the change in the network structure. Additionally, we examine the impact of sign proportions on network robustness via ESND, observing that networks with a high ratio of negative edges are generally easier to dismantle than networks with high positive edges. © 2025 Elsevier Ltd

关键词： Network dismantling Node clustering Node embedding Signed network

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Performance evaluation of faults in a photovoltaic array based on V-I and V-P characteristic curve 12

Performance evaluation of faults in a photovoltaic array bas...

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12th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2020

作者： Lodhi, Ehtisham Lina, Wang Pu, Yang Javed, M. Yaqoob Lodhi, Zeeshan Zhijie, Jiao Javed, Usman School of Automation Science and Electrical Engineering Beihang University Beijing100191 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical and Computer Engineering COMSATS University Islamabad Lahore54000 Pakistan Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad22060 Pakistan Guo China-US Photonics Lab Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China

ISBN: (纸本)9781728170817

The prediction and forecasting of faults occurring in photovoltaic (PV) system is one of the important aspect to escalate the reliability, output power generation, proficiency, lifetime and effectiveness of overall system. In this article, the behavior of PV array is studied under various faulty circumstances and new approach has offered for the better performance assessment of PV array. This approach is established on the analysis of peculiarities displayed by voltage power (V-P) and voltage-current (V-I) characteristics curves of PV array under different faulty conditions. The proposed technique can be used to identify and classify the five common faults in PV system. These progressive faults (includes open circuit, line-to-line, partial shading, degradation and bridging faults) have been occurred at the basic components of PV cell and at the connection point between PV modules. The characteristic curves under normal and faulty conditions have been compared by utilizing Matlab/Simulink environment. Hence, the suggested method can be utilized to determine the important fact about the health PV array. © 2020 IEEE.

关键词： Solar panels

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Assessing Differences in Flow State Induced by an Adaptive Music Learning Software

Assessing Differences in Flow State Induced by an Adaptive M...

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International Workshop on Quality of Multimedia Experience, QoMEx

作者： Martin Haug Paavo Camps Tobias Umland Jan-Niklas Voigt-Antons Complex and Distributed IT Systems TU Berlin Germany Information Systems Engineering TU Berlin Germany Computer Science TU Berlin Germany Quality and Usability Lab TU Berlin Germany German Research Center for Artificial Intelligence (DFKI) Berlin Germany

ISBN: (数字)9781728159652

ISBN: (纸本)9781728159669

Technology can facilitate self-learning for academic and leisure activities such as music learning. In general, learning to play an unknown musical song at sight on the electric piano or any other instrument can be quite a chore. In a traditional self-learning setting, the musician only gets feedback in terms of what errors they can hear themselves by comparing what they have played with the score. Research has shown that reaching a flow state creates a more enjoyable experience during activities. This work explores whether principles from flow theory and game design can be applied to make the beginner's musical experience adapted to their need and create higher flow. We created and evaluated a tool oriented around these considerations in a study with 21 participants. We found that provided feedback and difficulty scaling can help to achieve flow and that the effects get more pronounced the more experience with music participants have. In further research, we want to examine the influence of our approach to learning sheet music.

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Encapsulation of Co/Co3o4 Hetero-Nanoparticles within the Inner Tips of N-Doped Carbon Nanotubes: engineering Mott-Schottky Nanoreactors for Efficient Bifunctional Oxygen Electrocalysis Toward Flexible Zinc-Air Batteries

SSRN

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SSRN 2022年

作者： Zhang, Binbin Lu, Tingyu Ren, Yiping Huang, Longzhen Pang, Huan Zhao, Qun Tian, Shu Yang, Jun Xu, Lin Tang, Yawen Tian, Xinlong School of Chemistry and Materials Science Jiangsu Key Laboratory of New Power Batteries Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials Nanjing Normal University Nanjing210023 China School of Chemistry and Chemical Engineering Yangzhou University Yangzhou225009 China College of Chemistry and Chemical Engineering Nantong University Nantong226019 China Nanjing IPE Institute of Green Manufacturing Industry Nanjing211100 China State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan Provincial Key Lab of Fine Chemistry School of Chemical Engineering and Technology Hainan University Haikou570228 China

We demonstrate a typical Mott-Schottky electrocatalyst by ingeniously encasing Co/Co3O4 hetero-nanoparticles within the inner tips of N-doped carbon nanotubes (abbreviated as Co/Co3O4@N-CNTs hereafter) through a facile and scalable hydrogel-bridged pyrolysis strategy. Experimental and theoretical findings collectively manifest that the spontaneous charge redistribution at the Co/Co3O4 heterointerfaces is essential to promote the charge transfer capability, lower down the reaction barriers for oxygen electrocatalysis, and ultimately boost the intrinsic activities. Accordingly, the well-designed Co/Co3O4@N-CNTs exhibit admirable ORR and OER activities and long-term robustness in KOH medium, exceeding the commercial Pt/C and RuO2 benchmarks, respectively. Furthermore, the Co/Co3O4@N-CNTs-assembled flexible all-solid-state zinc-air battery displays a high power density, remarkable rate capability, excellent rechargeablity and outstanding mechanical flexibility even under severe deformations, predicting the great potentials in diverse next-generation wearable electronic devices. The rationale of the construction of Mott-Schottky heterojunctions may provide an innovative and instructive avenue to design diversified energy nanomaterials. © 2022, The Authors. All rights reserved.

关键词： Doping (additives)

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Robust Fault Detection for Second-order Multi-agent systems on Directed Graph

Robust Fault Detection for Second-order Multi-agent Systems ...

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第三十八届中国控制会议

作者： Wenhao Jia Jinzhi Wang State Key Lab for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University

In this paper,we propose a robust fault detection scheme for second-order multi-agent systems with external disturbance on directed *** the open-loop system of the multi-agent system contains disturbance term,there doesn't exist an observer whose error dynamics won't be influenced by the disturbance *** we design observer for the augmented closed-loop system of multi-agent system based on the idea of unknown input observer,which is formed by adding an active disturbance rejection term to the control *** utilize above observers to generate residuals corresponding to all the agents of the MAS,the generators are only sensitive to the agents which the fault doesn't occur,which means that there exists one residual generator different from *** further residual dynamics analysis,the residual corresponding to the faulty agent will be zero after the fault occurs,the others will *** we prove the existence of above observers that we ***,the efficiency of the proposed scheme is illustrated by some simulation *** rest of this paper is organized as *** section 2,some basic knowledge of graph theory and reduced-order UIO are introduced,then the problem formulation is *** 3 gives the main results of this paper.

关键词： Robust fault detection directed graph second-order multi-agent system external disturbance

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Self-propelled detachment upon coalescence of surface bubbles

arXiv

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arXiv 2021年

作者： Lv, Pengyu Peñas, Pablo Le The, Hai Eijkel, Jan van den Berg, Albert Zhang, Xuehua Lohse, Detlef State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science BIC-ESAT College of Engineering Peking University Beijing100871 China Physics of Fluids group Faculty of Science and Technology Max Planck - University of Twente Center for Complex Fluid Dynamics MESA+ Institute J. M. Burgers Centre for Fluid Dynamics University of Twente P.O. Box 217 Enschede7500 AE Netherlands BIOS Lab-on-a-Chip group Faculty of Electrical Engineering Max Planck - University of Twente Center for Complex Fluid Dynamics Mathematics and Computer Science MESA+ Institute University of Twente P.O. Box 217 Enschede7500 AE Netherlands Department of Chemical & Materials Engineering University of Alberta EdmontonABT6G1H9 Canada Max Planck Institute for Dynamics and Self-Organization Göttingen37077 Germany

The removal of microbubbles from substrates is crucial for the efficiency of many catalytic and electrochemical gas evolution reactions in liquids. The current work investigates the coalescence and detachment of bubbles generated from catalytic decomposition of hydrogen peroxide. Self-propelled detachment, induced by the coalescence of two bubbles, is observed at sizes much smaller than those determined by buoyancy. Upon coalescence, the released surface energy is partly dissipated by the bubble oscillations, working against viscous drag. The remaining energy is converted to the kinetic energy of the out-of-plane jumping motion of the merged bubble. The critical ratio of the parent bubble sizes for the jumping to occur is theoretically derived from an energy balance argument and found to be in agreement with the experimental results. The present results provide both physical insight for the bubble interactions and practical strategies for applications in chemical engineering and renewable energy technologies like electrolysis. Copyright © 2021, The Authors. All rights reserved.

关键词： Coalescence

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Fire Ecological Flows as Strategic Innovation for Fire Resilience at the Edge of Global Change;Research, Policy, and Planning in the Aran (Pyrenees)

SSRN

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SSRN 2023年

作者： Oliveres, Jordi Castellnou, Marc Rosas-Casals, Martí Brotons, Lluís Duane, Andrea Sustainability Measurement and Modeling Lab Universitat Politècnica de Catalunya BarcelonaTech ESEIAAT Colón 1 Terrassa Barcelona08222 Spain Avinguda de Serra Galliners s/n Cerdanyola del Vallès08193 Spain Institute for Sustainability Science and Technology Universitat Politècnica de Catalunya – Barcelona Tech Jordi Girona 31 Barcelona08034 Spain ICREA - Complex Systems Lab Universitat Pompeu Fabra - PRBB Dr. Aiguader 88 Barcelona08003 Spain Carretera vella de Sant Llorenç de Morunys km 2 Solsona Lleida25280 Spain Cerdanyola del Vallès08193 Spain CSIC Cerdanyola del Vallès08193 Spain Department of Agricultural and Forest Engineering University of Lleida Alcalde Rovira Roure 191 Lleida25198 Spain

Episodes of extreme wildfires around the world together with the evidence of physical limits in extinction capacity under extreme fire conditions show that strategies focusing on fire suppression are not effective to deal with novel fire risks. Although upgrading analytical capacities and technological based solutions in emergency management is necessary, in the current context of climate change, fire regime changes point to the need of a paradigm shift from fire suppression to fire resilience. The present research aims at operationalizing this adaptation gap by applying a new transdisciplinary approach consisting in the use of unplanned fires as landscape planning tools, a window of opportunity where emergency responders can turn wildfires into prescribed burnings, and in such a contra-intuitive way emergency management can increase landscape resilience at medium-long term. This disruptive fire policy is based on the conceptualization of the fire ecological flow, a novel concept defining the quantity, quality and timing of fire required to achieve a regime footprint in a particular socioecological system that provides for human uses, maintains essential processes to support healthy forest ecosystems while reducing the vulnerability to collapse in front of extreme events or *** on landscape modeling, we identify key environmental factors to assess potential impacts depending on different alternatives and fire ecological flows. Thus, potential benefits, vulnerabilities, and areas for improvement to mitigate adverse effects have been identified. This strategic innovation at the socioecological scale represents the first official attempt approved in Europe for managing unplanned fires as an ecological process and restoring fire regimes in the current climate emergency context. Although the framework is implemented in the specific region of the Aran, it may have a wider application in the Pyrenees as well as in other European mountain areas sharing simila

关键词： Fires

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Motion Planning for Heterogeneous Unmanned systems under Partial Observation from UAV

Motion Planning for Heterogeneous Unmanned Systems under Par...

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2020 IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Ci Chen Yuanfang Wan Baowei Li Chen Wang Guangming Xie Huanyu Jiang College of Biosystems Engineering and Food Science Zhejiang University Hangzhou China Southern University of Science and Technology Shenzhen China The State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China Peng Cheng Laboratory Shenzhen China

ISBN: (数字)9781728162126

ISBN: (纸本)9781728162133

For heterogeneous unmanned systems composed of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), using UAVs serve as eyes to assist UGVs in motion planning is a promising research direction due to the UAVs' vast view scope. However, its limitations on flight altitude prevent the UAVs from observing the global map. Thus motion planning in the local map becomes a Partially Observable Markov Decision Process (POMDP) problem. This paper proposes a motion planning algorithm for heterogeneous unmanned systems under partial observation from UAV without reconstruction of global maps. Our algorithm consists of two parts designed for perception and decision-making, respectively. For the perception part, we propose the Grid Map Generation Network (GMGN), which is used to perceive scenes from UAV's perspective and classify the pathways and obstacles. For the decision-making part, we propose the Motion Command Generation Network (MCGN). Due to the addition of the memory mechanism, MCGN has planning and reasoning abilities under partial observation from UAVs. We evaluate our proposed algorithm by comparing it with baseline algorithms. The results show that our method effectively plans the motion of heterogeneous unmanned systems and achieves a relatively high success rate.

关键词： Decision making Markov processes Unmanned aerial vehicles Land vehicles Planning Classification algorithms Intelligent robots

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