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5th International Conference on Green technology and Sustainable Development, GTSD 2020

作者： Vu, Van-Phong Wang, Wen-June Ngo, Van-Thuyen Truong, Dinh-Nhon Lee, Pei-Jun Do, Ton Duc Tong, Van-Ngoc Ho Chi Minh City University of Technology and Education Department of Automatic Control Ho Chi Minh City Viet Nam National Central University Department of Electrical Engineering Zhongli Taiwan National Chi-Nan University Department of Electrical Engineering Nantou Taiwan Nazarbayev University Department of Robotics and Mechatronics AstanaZ05H0P9 Kazakhstan Faculty of Electrical and Electronics Engineering Vietnam-Singapore Vocational College Binh Duong Viet Nam

ISBN: (纸本)9781728199825

A new approach to design a nonlinear observer for the Wind Energy Conversion System (WECSs) with the existence of a delay time state variable is proposed in this paper. The WECSs are modeled under a polynomial framework that allows us to apply the powerful methodology of the linear system to synthesize the observer. Unlike the previous paper, the delay time in this paper is arbitrary and unnecessary to satisfy the bound constraints or the time delay must be constant. Additionally, during operating the WECSs, the wind is taken into account the unknown disturbance that affects to the performance of WECSs. In this paper, the unknown input method is employed to design the observer which can eliminate the influences of the delay time parts and disturbance;as well as estimate the unknown states asymptotically. Based on the Lyapunov theory and Sum-Of-Square (SOS) technique, the conditions to synthesize the nonlinear observer are obtained in the main theorems. The simulation results are also provided to show the merit of the proposed method. © 2020 IEEE.

关键词： Linear systems

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A Nontrivial Interplay between Triadic Closure, Preferential, and Anti-Preferential Attachment: New Insights from Online Data

arXiv

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arXiv 2022年

作者： Kozitsin, Ivan V. Sayfulin, Eduard R. Goiko, Vyacheslav L. Laboratory of Active Systems V. A. Trapeznikov Institute of Control Sciences Russian Academy of Sciences 65 Profsoyuznaya street Moscow117997 Russia Department of Higher Mathematics Moscow Institute of Physics and Technology 9 Institutskiy per. Moscow Region Dolgoprudny141701 Russia The Center of Applied Big Data Analysis National Research Tomsk State University 36 Lenina Street Tomsk634050 Russia

This paper presents an analysis of a temporal network that describes the social connections of a large-scale (~30,000) sample of online social network users, inhabitants of a fixed city. We tested how the main network formation determinants - transitivity, preferential attachment, and social selection - contribute to network evolution. Among other things, we found that opinion social selection does affect tie appearing whereas its impact on tie removing is rather unclear. We report that transitivity displayed the strongest effect on network dynamics. Surprisingly, a closer look revealed an intriguing and complex interplay between the transitivity, preferential attachment, and anti-preferential attachment mechanisms. For a given pair of unconnected nodes, if they have no mutual connections, then the probability of tie creation goes up with the total number of nodes' friends - that is exactly what the preferential attachment mechanism is assumed to do. Instead, if the nodes have at least one common friend, then the highest probability of tie appearing is achieved if both the nodes have only a few friends - a phenomenon that is called anti-preferential attachment. We attempted to explain this finding by appealing to the notions of social communities and leaders. Copyright © 2022, The Authors. All rights reserved.

关键词： Social networking (online)

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Integral Quadratic Constraints on Linear Infinite-dimensional systems for Robust Stability Analysis

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IFAC-PapersOnLine 2020年第2期53卷 7752-7757页

作者： Matthieu Barreau Carsten W. Scherer Frédéric Gouaisbaut Alexandre Seuret Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden LAAS-CNRS Université de Toulouse CNRS UPS Toulouse France Department of Mathematics University of Stuttgart Stuttgart Germany

This paper proposes a framework to assess the stability of an Ordinary Differential Equation (ODE) which is coupled to a 1D-partial differential equation (PDE). The stability theorem is based on a new result on Integral Quadratic Constraints (IQCs) and expressed in terms of two linear matrix inequalities with a moderate computational burden. The IQCs are not generated using dissipation inequalities involving the whole state of an infinite-dimensional system, but by using projection coefficients of the infinite-dimensional state. This permits to generalize our robustness result to many other PDEs. The proposed methodology is applied to a time-delay system and numerical results comparable to those in the literature are obtained.

关键词： Distributed Parameter systems Robustness analysis IQCs Coupled ODE/PDE

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Multi-Layer SIS Model with an Infrastructure Network

arXiv

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arXiv 2021年

作者： Paré, Philip E. Janson, Axel Gracy, Sebin Liu, Ji Sandberg, Henrik Johansson, Karl H. School of Electrical and Computer Engineering Purdue University IN United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Digital Futures Stockholm Sweden Department of Electrical and Computer Engineering Stony Brook University United States

—This paper deals with the spread of diseases over both a population network and an infrastructure network. We develop a layered networked spread model for a susceptible-infected-susceptible (SIS) pathogen-borne disease spreading over a human contact network and an infrastructure network, and refer to it as a layered networked susceptible-infected-water-susceptible (SIWS) model. The "W" in SIWS represents any infrastructure network contamination, not necessarily restricted to a water distribution network. We say that the SIWS network is in the healthy state (also referred to as the disease-free equilibrium) if none of the individuals in the population are infected nor is the infrastructure network contaminated;otherwise, we say that the network is in the endemic state (also referred to as the endemic equilibrium). First, we establish sufficient conditions for local exponential stability and global asymptotic stability (GAS) of the healthy state. Second, we provide sufficient conditions for existence, uniqueness, and GAS of the endemic state. Building off of these results, we provide a necessary, and sufficient, condition for the healthy state to be the unique equilibrium of our model. Third, we show that the endemic equilibrium of the SIWS model is worse than that of the networked SIS model without any infrastructure network, in the sense that at least one subpopulation has strictly larger infection proportion at the endemic equilibrium in the former model than that in the latter. Fourth, we study an observability problem, and, assuming that the measurements of the sickness-levels of the human contact network are available, provide a necessary and sufficient condition for estimation of the pathogen levels in the infrastructure network. Furthermore, we provide another sufficient, but not necessary, condition for estimation of pathogen levels in the infrastructure network. By leveraging the sufficient condition we finally provide insights in to how the measurement mat

关键词： Asymptotic stability

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Preface: Research results on artificial intelligence (BME FIKP MI/FM)

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Periodica Polytechnica Transportation Engineering 2020年第4期48卷 305-306页

作者： Gaspar, Peter Department of Control for Transportation and Vehicle Systems Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics H-1111 Műegyetem rkp. 3 Budapest Hungary

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Hospital plastic waste valorization through microwave-assisted Pyrolysis: Experimental and modeling studies via machine learning

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Journal of Cleaner Production 2025年 514卷

作者： Potnuri, Ramesh Sankar Rao, Chinta Surya, Dadi Venkata Kumar, Abhishankar Control Systems & Machine Learning Research Laboratory Department of Chemical Engineering National Institute of Technology Karnataka Surathkal 575025 India Department of Chemical Engineering Pandit Deendayal Energy University Gandhinagar382007 India MPM Infosoft Pvt. Ltd. IIT Madras Research Park Chennai600113 India

The COVID-19 pandemic generated a global upsurge in hospital plastic waste (HPW) as a consequence of the widespread utilization of personal protective equipment (PPE) composed of diverse polymer materials. The constant demand for PPE worldwide led to the accumulation of substantial volumes of high-polymer-based plastic waste. To tackle this challenge, researchers delved into the conversion of HPW into valuable chemicals through a process known as microwave-assisted pyrolysis (MAP). This method entails the transformation of HPW into high-quality char and liquid oil, which can serve as a source of fuel. In this study, our primary focus was to understand how the ratio of HPW (hospital plastic waste) to susceptor weight influenced the yields and characteristics of the resulting products in the context of the MAP process. To facilitate the experimental setup, a Central Composite Design (CCD) was employed. The impact of varying HPW weights and susceptor quantities on the production of value-added products was investigated. The analysis of condensed organic vapor decomposition revealed an increase in liquid yields (73.6 wt %, 76.6 wt %, 80.7 wt %) as the graphite content increased at a constant 30 g HPW. Conversely, gas yield decreased with higher susceptor and HPW quantity. Keeping the graphite constant at 4g, the gas yield declined (32.5 wt %, 30.7 wt %, and 24.7 wt %) as HPW increased. Additionally, gas yield exhibited a drop (32.5 wt % to 18.1 wt %) with an increase in both graphite and HPW. Furthermore, the residual yield decreased (from 1.7 wt % to 1.2 wt %) with a 30 g increase in HPW. In-depth analysis incorporated machine learning techniques to understand the behavior of response variables about susceptor and HPW quantities. The optimization of the MAP process for HPW encompassed various supplementary operational parameters, including susceptor thermal energy, average heating rate, microwave energy, specific microwave power, and product yields. Moreover, the resid

关键词： Plastic parts

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Towards probabilistic intrusion detection in supervisory control of discrete event systems 1

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IFAC-PapersOnLine 2020年第2期53卷 1776-1782页

作者： Rômulo Meira-Góes Christoforos Keroglou Stéphane Lafortune Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor USA Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

In control systems, sensor deception is a class of attacks where an attacker manipulates sensor readings to cause damage to the system. Our work investigates quantitative measurements to detect this class of attacks in the context of stochastic supervisory control. We introduce the notion of ϵ -safe systems, which is a first step to generalize qualitative intrusion detection conditions to quantitative intrusion detection conditions. We provide sufficient and necessary conditions to verify if a system is ϵ -safe. Moreover, we provide an algorithm that verifies these conditions, which implies that the problem is decidable.

关键词： Supervisory control automata Discrete event modeling simulation Intrusion detection Security

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Depth-Map-Based Augmented Reality Holographic Stereogram: Method and Verification

SSRN

引用

SSRN 2022年

作者： Liu, Yunpeng Jing, Tao Lei, Ming Hu, Hairong Chen, Zhuo Lin, Min Li, Pei Jiang, Xiaoyu Yan, Xingpeng Department of Information Communication Army Academy of Armored Forces Beijing100072 China China Defense Science and Technology Information Center Beijing100037 China Department of Basic Education Army Academy of Armored Forces Beijing100072 China R & D Center for Intelligent Control and Advanced Manufacturing Research Institute of Tsinghua University in Shen Zhen Shen Zhen518057 China Department of Artificial Intelligence College of Information Systems Engineering Strategic Support Force Information Engineering University Zhengzhou450001 China

In this paper, a perspective image fusion algorithm of real-world and artificial scenes based on depth maps is proposed and applied to holographic printing to realize augmented reality display of holographic stereograms. The basic principle of the fusion algorithm is introduced, and the perspective image fusion with correct occlusion relation is implemented theoretically. Under the condition of sampling only once, an image generation algorithm with adjustable depth of artificial scenes is proposed and implemented. We use effective perspective image segmentation and mosaicking method for optical experiments, and verify the effectiveness of the proposed method. © 2022, The Authors. All rights reserved.

关键词： Three dimensional displays

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Estimation of Hidden Chemoattractant Field from Observed Cell Migration Patterns⁎

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IFAC-PapersOnLine 2018年第15期51卷 766-771页

作者： Kadochnikova, Anastasia Isles, Hannah M. Renshaw, Stephen A. Kadirkamanathan, Visakan Department of Automatic Control and Systems Engineering the University of Sheffield United Kingdom Department of Infection Immunity and Cardiovascular Disease The University of Sheffield United Kingdom

Neutrophilic chemotaxis is essential to immune system response to external threats. During this process cells alternate between directed motion towards the higher concentration of external stimuli and correlated random walk. An individual neutrophil migration can thus be characterised as a stochastic dynamical process driven by an external chemotactic environment that is typically not measured. This introduces the problem of estimating spatially-varying chemoattractant concentration field from the observed migration patterns of cell populations. We propose a solution to this estimation problem in a statistical inference framework. The framework has measured cell positions in the field as inputs and employs the expectation-maximisation algorithm for joint estimation of full cell states and parameters of the chemoattractant field decomposed with cubic B-splines. The performance of the developed algorithm is accessed via process in vivo measurements of cell positions in the injured tail fin of zebrafish. Estimation results for different injury types evidence that the proposed estimation algorithm provides a rigorous connection between mathematical modelling and experimental data. © 2018

关键词： Parameter estimation

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Guided Crowd Evacuation:Approaches and Challenges

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IEEE/CAA Journal of automatica Sinica 2019年第5期6卷 1081-1094页

作者： Min Zhou Hairong Dong Petros A.Ioannou Yanbo Zhao Fei-Yue Wang the State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China the Department of Electrical Engineering University of Southern CaliforniaLos AngelesCA 90089-2560 USA the Center for Advanced Transportation Technologies University of Southern CaliforniaLos AngelesCA 90089 USA the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the Research Center of Computational Experiments and Parallel Systems the National University of Defense TechnologyChangsha 410073China

Evacuation leaders and/or equipment provide route and exit information for people and guide them to the expected destinations, which could make crowd evacuation more efficient in case of emergency. The purpose of this paper is to provide an overview of recent advances in guided crowd evacuation. Different guided crowd evacuation approaches are classified according to guidance approaches and technologies. A comprehensive analysis and comparison of crowd evacuation with static signage, dynamic signage, trained leader, mobile devices, mobile robot and wireless sensor networks are presented based on a single guidance mode perspective. In addition, the different evacuation guidance systems that use high-tech means such as advanced intelligent monitoring techniques, AI techniques, computer technology and intelligent inducing algorithms are reviewed from a system’s perspective. Future researches in the area of crowd evacuation are also discussed.

关键词： Auxiliary equipment evacuation guidance system (EGS) guided crowd evacuation leader signage

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