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IEEE Transactions on Industrial Cyber-Physical systems 2024年 2卷 143-153页

作者： Xue, Yawen Pan, Jie Geng, Yangyang Yang, Zeyu Liu, Mengxiang Deng, Ruilong Information Engineering University Zhengzhou450001 China Singapore University of Technology and Design ITrust 487372 Singapore The University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS10 2TN United Kingdom Zhejiang University State Key Laboratory of Industrial Control Technology The College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Industrial Control Technology Huzhou313000 China

Industrial control systems (ICSs) are becoming increasingly interconnected as the rapid convergence of information technology (IT) and operation technology (OT) networks, and meanwhile massive attack surfaces have been exposed. However, traditional intrusion detection systems (IDSs) are difficult to be directly deployed in ICSs due to the hard real-time requirement and rare patching chance. Besides, the design of effective and practical IDSs is hampered by the lack of benchmarking ICS cybersecurity datasets. To bridge the gaps, this paper makes the first attempt by open-sourcing the developed ICS cybersecurity datasets and proposing a decision fusion based real-time IDS. Firstly, we design a customized cybersecurity dataset in a full-hardware and high-fidelity platform, including 7 types of cyber threats tailored for ICSs. The collected dataset includes network traffic, sensor readings, actuator status, and system parameters, providing the state-of-the-art benchmark dataset for ICSs consisting of cross-layer characteristics. Furthermore, we design an online decision fusion-based IDS by strategically integrating 4 widely-used machine learning models. The proposed IDS is deployed on a real-time running ethanol distillation, surpassing the performance of single detection models in terms of precision and F1-score, which substantially enhances intrusion detection accuracy and cybersecurity of ICS. © 2023 IEEE.

关键词： Intrusion detection

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Performance Improvement control Strategy of Microgrid Multi-Inverter Parallel System 7

Performance Improvement Control Strategy of Microgrid Multi-...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Lu, Heng Hu, Changbin Luo, Shanna Li, Xuecheng Huang, Haiyang Deng, Jufu University of Duisburg-Essen Department of Automatic Control and Complex Systems Duisburg Germany North China University of Technology College of Electrical and Control Engineering Beijing China

ISBN: (纸本)9798350345094

This paper develops a performance improvement control strategy based on residual generator to improve the control performance of the multi-inverter parallel system in the presence of load disturbances and line parameter perturbation. This study establishes the state space models of the electrical network and inverters to analyze the performance degradation issues. The model-match technique and multi-agent consistency algorithm are used to design the dynamic and steady-state performance improvement controllers, respectively. Experimental results validate the effectiveness of the proposed control method. © 2023 IEEE.

关键词： Electric loads

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Data-Driven control of Distributed Event-Triggered Network systems

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IEEE/CAA Journal of automatica Sinica 2023年第2期10卷 351-364页

作者： Xin Wang Jian Sun Gang Wang Frank Allgower Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the Institute for Systems Theory and Automatic Control University of StuttgartStuttgart 70550Germany the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling,under which a model-based stability criterion for the closed-loop network system is derived,by leveraging a discrete-time looped-functional *** the model-based criterion with a data-driven system representation recently developed in the literature,a purely data-driven stability criterion expressed in the form of linear matrix inequalities(LMIs)is ***,the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input ***,numerical results corroborate the efficacy of the proposed distributed data-driven event-triggered network system(ETS)in cutting off data transmissions and the co-design procedure.

关键词： Data-driven control distributed event-triggered network system(ETS) linear matrix inequalitie(LMI) looped-functional stability

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COMPARATIVE ANALYSIS OF AGENT-BASED MODELING FRAMEWORKS FOR SIGNAL PROPAGATION IN COMPLEX NETWORKS: NETLOGO AND PYTHON MESA

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2024年第2期86卷 27-40页

作者： Berceanu, Cristian Patrascu, Monica Complex Systems Laboratory Department of Automatic Control and Systems Engineering University Politehnica of Bucharest Romania Centre for Elderly and Nursing Home Medicine Department of Global Public Health and Primary Care University of Bergen Norway Neuro-SysMed Center Department of Global Public Health and Primary Care University of Bergen Norway

Signal propagation is a prevalent research topic for an abound-ing number of complex network applications. The nonlinear characteristics of complex networks determined by complex interactions and topology re-quire suitable agent-based modeling and simulation frameworks. This paper presents a comparison of two such frameworks in terms of usability and performance for studying signal propagation in complex networks. Our findings are based on two use cases that we implemented in both frameworks. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Complex networks

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Autonomous mission reconstruction during the ascending flight of launch vehicles under typical propulsion system failures

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Chinese Journal of Aeronautics 2022年第6期35卷 211-225页

作者： Zhengyu SONG Yin LIU Yong HE Cong WANG China Academy of Launch Vehicle Technology Beijing 100076China Beijing Institute of Astronautical Systems Engineering Beijing 100076China Beijing Aerospace Automatic Control Institute Beijing 100854China

In recent years, Chinese Long March(LM) launchers have experienced several launch failures, most of which occurred in their propulsion systems, and this paper studies Autonomous Mission Reconstruction(AMRC) technology to alleviate losses due to these failures. The status of the techniques related to AMRC, including trajectory and mission planning, guidance methods,and fault tolerant technologies, are reviewed, and their features are compared, which reflect the challenges faced by AMRC technology. After a brief introduction about the failure modes of engines that can occur during flight, and the fundamentals of trajectory planning and joint optimization of the target orbit and flight path, an AMRC algorithm is proposed for geostationary transfer orbit launch missions. The algorithm evaluates the residual performance onboard, and plans new objectives and corresponding flight path by iterative guidance mode or segmented state triggered optimization methods in real-time. Three failure scenarios that have occurred during previous LM missions are simulated to check the robustness of the algorithm: imminent explosion risk of the boosters’ engines, thrust drop during the first stage of flight, and being unable to start the engine during the second stage. The payloads would fall from space according to the current design under these conditions, but they were saved with the AMRC algorithm in the simulations, which allowed the rocket to get into the target orbit as intended or the payloads were deployed in other orbits without crashing. Although spaceflight can be very unforgiving, the AMRC algorithm has the potential to avoid the total loss of a launch mission when faced with these kinds of typical failures.

关键词： Autonomous mission reconstruction Closed-loop guidance State triggered indices Rescue orbits Launch vehicles

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Hyperelastic Membrane Actuators:Analysis of Toroidal and Helical Multifunctional Configurations

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Cyborg and Bionic systems 2022年第1期2022卷 129-140页

作者： Eduardo Perez-Guagnelli Joanna Jones Dana D.Damian Department of Automatic Control and Systems Engineering Universty of Shefield UK

Technologies that providemechanical assistance arerequired inthemdicalfeld,such asimplants that regenerate tssuethroughelongation and *** ofthe challenges is to develop actuators that combinethe benefits ofhigh axialextension at lowpressures,modularity,multifunction,and load bearing capabilities into one design while maintaining their shape and *** such a challenge wll provide implants with enhanced capacity for mechanical assistance to induce *** introduce two novel actuators(M2H)built of stacked Hyperelastic Balloning Membrane Actuators(HBMAs)that can be realized using helical and toroidal *** restraining the HBMA expansion deterministicallyusing a semisoft exoskeleton,the actuatorsors areendoweded withh axial extension and radial expansion *** actuatorsare thus built of modules that canconfiguured different therapeutical needs and multifunctionality,to provideanatomically congruent *** desigl,fabricationtestin;and numerical and experimental validation ofthe *** can aaxiallyind6 in their helicaland toroidal configurations at input pressuresas low as 26 and 24 kPa,*** the axial module is used separately,its extension capacity reaches>170%.The M2H-HBMAs can perform independent and simultaneousxpansion and extension motions with negligible intraluminaldeformation as well as stand at least 1kg of axial force without *** M2H-HBMAs overcome the limitations ofhyperexpanding machines that show low resistance to *** envisage M2H-HBMAs as promising tools to perform tisueregeneration procedures.

关键词： restrain overcome skeleton

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Relational modeling framework for complex systems

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2021年第1期83卷 15-28页

作者： Popescu, Dragos Constantin Dumitrache, Ioan Dept. of Automatic Control and Systems Engineering University POLITEHNICA of Bucharest Romania

This paper addresses the topic of modeling complex systems and introduces a new formal framework. It starts with an extensive overview on the context of complex systems, major research and application directions and general requirements in terms of modeling with an emphasis on the Cyber Physical systems paradigm. Afterwards, five key modeling formalisms which address various aspects of complex systems are presented. The formal contribution of this paper is ultimately introduced. The approach is based on integrating in a unified architecture multiple modeling formalisms that are dynamically re-configured inside a modeling environment. A particular implementation of the framework is further defined for integrating relational models, probabilities and numerical information. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Large scale systems

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Path-Complete Barrier Functions for Safety of Switched Linear systems 63

Path-Complete Barrier Functions for Safety of Switched Linea...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Anand, Mahathi Jungers, Raphael Zamani, Majid Allgower, Frank Institute for Systems Theory and Automatic Control University of Stuttgart Germany Université Catholique de Louvain Department of Mathematical Engineering Belgium University of Colorado Boulder United States

ISBN: (纸本)9798350316339

In this paper, we address the safety verification problem of switched linear dynamical systems under arbitrary switching via barrier functions. Our approach is based on a notion of path-complete barrier functions, which utilizes a collection of barrier functions associated with a directed labeled graph that can encode all the possible switching sequences. We show that path-complete barrier functions effectively generalize notions of common and multiple barrier functions studied in existing literature, and can potentially provide less conservative conditions for safety verification. We demonstrate that, for switched linear systems, the inequalities imposed via path-complete barrier functions can be easily encoded into simple linear matrix inequalities under some assumptions on the regions of interest and appropriately chosen templates for the barrier functions. We also study the relationship between path-complete barrier functions and common barrier functions, and show that for any path-complete graph with an admissible path-complete barrier function, one can derive a suitable (possibly non-smooth) common barrier function by utilizing the path-complete barrier function. Finally, we utilize several examples to illustrate the effectiveness of our approach, and briefly discuss the challenges that lay foundations for future research. © 2024 IEEE.

关键词： Directed graphs

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Zero-Shot Learning for Intelligent Fault Detection 27

Zero-Shot Learning for Intelligent Fault Detection

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27th International Conference on Automation and Computing, ICAC 2022

作者： Zhang, Siyu Wei, Hua-Liang University of Sheffield Dept. Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

Signal-based fault detection, as an essential technology in many engineering and industrial applications, has received extensive attention. Nevertheless, in a real-world application setting, collecting samples for some specific types of faults may be time-consuming and damaging, implying that samples of unseen faults may be unavailable in the training step. Keeping this in mind, we present a new semantic space-based zero-shot learning (SSB-ZSL) method for fault detection. The implementation of the method comprises three phases: feature extraction, human-defined semantic space, and a feature embedding model to address this issue. To evaluate the proposed method, we carry out experiments on two real datasets: a vibration-based rolling element bearing dataset from Case Western Reserve University, and an acoustic-based air compressor fault dataset. The results are promising and significantly better than that given by the compared state-of-the-art methods, showing that the proposed method can effectively detect unseen types of faults in the absence of their samples. © 2022 IEEE.

关键词： Fault detection

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On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO

On Sparse Nonlinear System Identification Using Orthogonal M...

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Mediterranean Conference on control and Automation (MED)

作者： Hua-Liang Wei The Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

System identification, as a rich and vital discipline, provides a practical and general methodology and tool for quantitatively modelling the input-output relationships of dynamical systems. Sparse nonlinear system identification (SNSI), especially parametric sparse nonlinear system identification (PSNSI), is an important and vital field of research with a wide range of applications. This work is concerned with PSNSI and particular attention is paid to the assessment of three well-known mainstream sparse learning methods, namely, orthogonal least squares (OLS), orthogonal matching pursuit (OMP) and least absolute shrinkage and selection operator (LASSO). The performances of these methods are tested and evaluated through three case studies relating to PSNSI problems. The research results and findings of this work provide practical useful information and guidance for researchers to better choose or adapt methods when solving PSNSI problems.

关键词： Learning systems Automation Matching pursuit algorithms System identification Nonlinear systems Dynamical systems

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