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第41届中国控制会议

作者： Yiming Li Jia Xu Li Li Benoit Iung Department of Control Science & Engineering Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Nancy Research Center for Automatic Control (CRAN CNRS UMR 7039)Lorraine University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development of smart sensors,information storage,processing technology and computer performance,large amounts of operating data collected from production process provide opportunities as well as challenges in remaining useful life(RUL) *** one hand,data-driven analysis approaches are experiencing a fast *** the other hand,the collected variables may be redundant,noisy and high-dimensional for ***,data dimension reduction is applied for eliminating useless *** from correlation-based methods,causal inference methods can obtain reliable models reflecting causal relationships among interesting ***,the latter is more suitable in data dimension *** this study,we use PCMCI+,a causal discovery method based on graph model,that handles both lagged and contemporaneous relationships in multi-variable time *** validate this method on time series data extracted directly from a medium frequency quenching *** obtained results confirm that PCMCI+is able to recognize causal associations among various sensor *** instance,variables in the same process have relatively larger causal relationships than those in different processes.

关键词： causal discovery manufacturing equipment PCMCI+ multi-sensor

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A comparative analysis of Bohman Windowing Performance for UFMC with Higher QAM Modulation

A comparative analysis of Bohman Windowing Performance for U...

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2023 Al-Sadiq International Conference on Communication and Information technology, AICCIT 2023

作者： Heil, Mustafa Mohammed Hammoodi, Ahmed Talaat Rasool, Jamal Mohammed University of Technology Department of Communication Engineering Baghdad Iraq University of Anbar Department of Control Systems and Communications Ramadi Iraq

ISBN: (纸本)9798350341881

This paper presents a study on the performance of different windowing techniques for high-level quadrature amplitude modulation (QAM) in universal filtered multicarrier (UFMC) systems. The focus is on comparing the impact of different windowing types on bit error rate (BER) performance, peak-to-average power ratio (PAPR), and out-of-band emission (OOBE). The present study assesses the performance of the Bohman window in the context of QAM levels, namely 256QAM, 512QAM, and 1024QAM, under a signal-to-noise ratio (SNR) of 15 dB. The findings indicate that utilization of the Bohman window yields a 3.21% enhancement in BER performance, a 1.01% reduction in PAPR, and a decrease in OOBE by 62.46 dBW/Hz for the 1024QAM in contrast to conventional UFMC. At 20 dB SNR, the BER is still lower than the traditional by 1.16%, but PAPR remains unchanged. © 2023 IEEE.

关键词： Peak to average power ratio

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A comprehensive fault propagation analysis method for software and hardware loosely coupled systems from time and space dimensions

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Aerospace systems 2025年 1-20页

作者： Yang, Jingli Huang, Yuxiang Gao, Tianyu Fang, XiaoTong Department of Automatic Test and Control Harbin Institute of Technology Harbin China China Institute of Marine Technology & Economy Beijing China

Software and hardware loosely coupled systems, characterized by their critical role in various high-reliability applications, require robust fault tolerance mechanisms due to their complexity and the intertwined nature of software and hardware components. However, the tight integration of diverse functions within the system-wide computing environment, coupled with the unclear mechanism of fault propagation, presents significant challenges in enhancing system reliability. Modern avionics systems, as a prominent example, are also inherently software-hardware loosely coupled systems, and they face similar challenges in ensuring fault tolerance. In response to these challenges, this paper proposes a fault propagation analysis method that comprehensively considers both temporal and spatial dimensions. Through in-depth analysis of dependency, fault probability, and fault propagation capability, the paper constructs a fault propagation model for software and hardware loosely coupled systems, providing a precise description of fault information. In the spatial dimension, the efficiency of fault propagation analysis is enhanced using the ant colony algorithm, while in the temporal dimension, task modeling is performed using the directed acyclic graph (DAG) model to improve the adaptability of fault propagation methods to real-time task requirements. The experimental results validate the effectiveness and efficiency of the proposed fault propagation method, demonstrating that the temporal dimension of fault propagation can effectively complement the shortcomings of spatial dimension fault propagation in meeting real-time task requirements. © Shanghai Jiao Tong University 2025.

关键词： Software reliability

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Making children read more and better by integrating natural language processing and gamification techniques into mobile applications 24

Making children read more and better by integrating natural ...

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24th International Conference on control systems and Computer Science, CSCS 2023

作者： Voicu, George Catalin Ciolofan, Sorin N. Dragoicea, Monica Manager Emag Bucharest Romania Politehnica University of Bucharest Department of Computer Science Bucharest Romania Politehnica University of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350313390

It is well known that nowadays children tend to spend lot of time playing games on mobile devices at the expense of reading books. The current research aims to explore ways to design and develop a mobile application, attractive for children, that uses voice recognition technology and gamification techniques to help children read more and better and to track the progress of reading. The application is implemented with Flutter, Dart and Firebase and is addressed to children, the books being made available in encyclopedia format. By integrating technologies such as NLP and gamification the application aims to improve reading fluency among children, but also to give them the opportunity to accumulate new and exciting information in the same time. © 2023 IEEE.

关键词： Human computer interaction

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System Optimal Routing and Distribution of Benefits on National Road Networks

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Transportation Research Procedia 2025年 82卷 2532-2545页

作者： Alexander Roocroft Giuliano Punzo Muhamad Azfar Ramli Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Institute of High Performance Computing A*STAR Singapore

Rerouting drivers from selfish route choices to system-optimal traffic patterns has the potential to improve the performance of existing infrastructure. Previous research has looked into assessing the potential of rerouting through the empirical price of anarchy, a measure of network efficiency. However, studies using real-world measurements have been limited by methodological accuracy and network size. Also, they have lacked understanding of the spatial distribution of benefits from rerouting and the relationship with marginal external cost road charges that can be used for implementation. In this article, we create an accurate data-driven traffic assignment model of England's Strategic Road Network. We use it to calculate the national price of anarchy, which is found to be almost 1 implying gains from rerouting at the national scale are minimal and smaller than in other studies. The results show the distribution of rerouting benefits varies strongly with different network zones and demand profiles. This did not match the distribution of marginal external cost charges. Some zones have noticeable benefits from rerouting although the overall network benefit is small, however, these zones do not coincide with where the largest road charges have to be applied for system-optimal rerouting. These results have implications for rerouting implementation.

关键词： Strategic Road Network Empirical Price of Anarchy National Traffic Assignment

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Analyzing Complex systems with Cascades Using Continuous-Time Bayesian Networks 30

Analyzing Complex Systems with Cascades Using Continuous-Tim...

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30th International Symposium on Temporal Representation and Reasoning, TIME 2023

作者： Bregoli, Alessandro Rathsman, Karin Scutari, Marco Stella, Fabio Mogensen, Søren Wengel Department of Informatics Systems and Communication University of Milano-Bicocca Italy European Spallation Source ERIC Lund Sweden Lugano Switzerland Department of Automatic Control Lund University Sweden

ISBN: (纸本)9783959772983

Interacting systems of events may exhibit cascading behavior where events tend to be temporally clustered. While the cascades themselves may be obvious from the data, it is important to understand which states of the system trigger them. For this purpose, we propose a modeling framework based on continuous-time Bayesian networks (CTBNs) to analyze cascading behavior in complex systems. This framework allows us to describe how events propagate through the system and to identify likely sentry states, that is, system states that may lead to imminent cascading behavior. Moreover, CTBNs have a simple graphical representation and provide interpretable outputs, both of which are important when communicating with domain experts. We also develop new methods for knowledge extraction from CTBNs and we apply the proposed methodology to a data set of alarms in a large industrial system. 2012 ACM Subject Classification Mathematics of computing Ñ Markov processes;Mathematics of computing Ñ Bayesian networks © Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, and Søren Wengel Mogensen

关键词： Bayesian networks

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Learning Input Driven Dynamic Bayesian Networks with Measurement Noise

Learning Input Driven Dynamic Bayesian Networks with Measure...

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International Conference on Machine Learning and Applications (ICMLA)

作者： David Veres Ping Li Visakan Kadirkamanathan Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom

ISBN: (数字)9798350374889

ISBN: (纸本)9798350374896

Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum likelihood Doubly-Iterative Expectation Maximization (DI-EM) Algorithm is developed for the identification of grey-box ARMAX state-space model representations of DBNs involving known, noisy measurement processes. The grey-box model incorporates network dependencies among time series variables and exploits time series data of low longitudinal and high cross-sectional dimensions. A network learning procedure is developed using a score-based structure-selection method to find the underlying network of an input-driven dynamical system. By computing a finite data version of the Bayesian Information Criterion (BIC) for small sample sizes, the proposed method's performance is investigated on simulated and real-world data. The algorithm recovers the underlying ground-truth networks of simulated systems under finite data criteria with Jaccard Coefficient values of up to 0.84, and selects structures with improved weighted mean-squared error loss over a baseline black-box model fit on real-world data.

关键词： Heuristic algorithms Computational modeling Time series analysis Noise Machine learning Data models Bayes methods State-space methods Noise measurement Dynamical systems

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A High-Performant Multi-Parametric Quadratic Programming Solver

A High-Performant Multi-Parametric Quadratic Programming Sol...

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IEEE Conference on Decision and control

作者： Daniel Arnström Daniel Axehill Depratment of Information Technology Division of Systems and Control Uppsala University Sweden Division of Automatic Control Linköping University Sweden

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

We propose a combinatorial method for computing explicit solutions to multi-parametric quadratic programs, which can be used to compute explicit control laws for linear model predictive control. In contrast to classical methods, which are based on geometrical adjacency, the proposed method is based on combinatorial adjacency. After introducing the notion of combinatorial adjacency, we show that the explicit solution forms a connected graph in terms of it. We then leverage this connectedness to propose an algorithm that computes the explicit solution. The purely combinatorial nature of the algorithm leads to computational advantages since it enables demanding geometrical operations (such as computing facets of polytopes) to be avoided. Compared with classical combinatorial methods, the proposed method requires fewer combinations to be considered by exploiting combinatorial connectedness. We show that an implementation of the proposed method can yield a speedup of about two orders of magnitude compared with state-of-the-art software packages such as MPT and POP.

关键词： Software packages Software algorithms Prediction algorithms Quadratic programming Predictive control

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A Review of Manufacturing Technologies of Soft Magnetic Composites for Electric Machines 5

A Review of Manufacturing Technologies of Soft Magnetic Comp...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Manko, Roman Dmytro, Rieznik Vukotic, Mario Rupnik, Urban Miljavec, Damijan Corovic, Selma University of Ljubljana Faculty of Electrical Engineering Ljubljana Slovenia Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine

ISBN: (纸本)9798350359787

In this article the review of the existing manufacturing technologies of the soft magnetic materials have been performed. The existing technological protocols for production of the electrically insulated powders and their further treatment towards manufacturing of the soft magnetic materials are provided. The influences of different technological processes on the mechanical, electrical and magnetic properties of the resulting soft magnetic materials have been reviewed and described. Finally, the usage and implementation of the soft magnetic composites in the field of electric motor design have been discussed. © 2023 IEEE.

关键词： Electric motors

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A Lightweight Target Following Architecture for Indoor Mobile Robot

A Lightweight Target Following Architecture for Indoor Mobil...

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IEEE International Conference on Industrial technology (ICIT)

作者： Fuli Wang Windo Hutabarat Ashutosh Tiwari Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

Manufacturing efficiency and transport operations are being significantly improved by mobile robots. As the implementation of a configurable, lightweight, and stateof-the-art robotic system is required for current manufacturing sectors to maximize the use of mobile robots, this paper presents a software architecture comprised of perception and action systems for human following in real time. The perception system uses the YOLOv8 computer vision model to identify and estimate human pose. Additionally, an algorithm is developed using the 3D information from a stereo camera to determine which target and whether to follow. Once the perception system perceives the desired target information, the action system can control and coordinate the robot using the ROS. Experimental results from the physical robot demonstrate the feasibility of the system architecture.

关键词： Computer vision Three-dimensional displays Service robots Software architecture Robot kinematics Computational modeling systems architecture

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