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25th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2022

作者： Marciniak, Tomasz Stankiewicz, Agnieszka Institue of Automatic Control and Robotics Robotics and Electrical Engineering Poznan University of Technology Department of Automatic Control Poznan Poland

ISBN: (数字)9788362065424

ISBN: (纸本)9788362065424

The research presented in this article aims to determine the possibility of identifying macular pathologies from optical coherence tomography (OCT) images. Early detection of a pathology in the human eye retina is beneficial for patient recovery. Disorders commonly evaluated in clinical practice and research are drusen in age-related macular degeneration (AMD), diabetic macular edema (DME), and choroidal neovascularization (CNV). Our work extends this set of pathologies to include the pathology associated with improper posterior vitreous detachment, namely vitreomacular traction (VMT). Experimental research was based on single line OCT B-scans of healthy eyes and eyes with the investigated pathologies. AMD, DME and CNV images were taken from a public OCT dataset for retina classification, while healthy subjects and VMT images were acquired using an Avanti Optovue device. The accuracy results of more than 97% show the possibility of automatic preliminary diagnosis and differentiation between macular pathologies. © 2022 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Optical tomography

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Fleet data based traffic modeling

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Communications in Transportation Research 2024年第1期4卷 270-278页

作者： Tamás Tettamanti Levente Tőkés Balázs Varga Department of Control for Transportation and Vehicle Systems Faculty of Transportation Engineering and Vehicle EngineeringBudapest University of Technology and EconomicsMűegyetem rkp.3.BudapestH-1111Hungary

Although the available traffic data from navigation systems have increased steadily in recent years,it only reflects average travel time and possibly Origin-Destination information as samples,***,the number of vehicles participating in the traffic-in other words,the traffic flows being the basic traffic engineering information for strategic planning or even for real-time management-is still missing or only available sporadically due to the limited number of traditional traffic sensors on the network *** tackle this gap,an efficient calibration process is introduced to exploit the Floating Car Data combined with the classical macroscopic traffic assignment *** optimally scaling the Origin-Destination matrices of the sample fleet,an appropriate model can be approximated to provide traffic flow data beside average *** iterative tuning method is developed using a genetic algorithm to realize a complete macroscopic traffic *** method has been tested through two different real-world traffic networks,justifying the viability of the proposed ***,the contribution of the study is a practical solution based on commonly available fleet traffic data,suggested for practitioners in traffic planning and management.

关键词： Floating car data Origin-destination matrix Macroscopic traffic modeling Genetic algorithm Calibration

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On the relationship between the activity at point of interests and road traffic

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Communications in Transportation Research 2023年第1期3卷 150-160页

作者： MátéKolat Tamás Tettamanti TamásBécsi Domokos Esztergár-Kiss Department of Control for Transportation and Vehicle Systems Faculty of Transportation Eng.and Vehicle Eng.Budapest University of Technology and EconomicsBudapest1111PestHungary Systems and Control Laboratory Institute for Computer Science and Control of the Eötvös Lorand Research NetworkBudapest1053PestHungary Department of Transport Technology and Economics Faculty of Transportation Eng.and Vehicle Eng.Budapest University of Technology and EconomicsBudapest1111PestHungary

The estimation and analysis of road traffic represent the preliminary steps towards satisfying the current needs for smooth,safe,and green ***,effective traffic monitoring is an essential topic alongside the planning of sustainable transportation systems and the development of new traffic management *** contrast to classical traffic detection solutions,this study investigates the correlation between travelers'social activities and road *** s's primary goal is to investigate the presence of the relationship between social activity and road traffic,which might allow an infrastructure-independent traffic monitoring technique as ***'s general activities at Point of Interest(POI)locations(measured as occupancy parameter)are correlated with traffic data so that,finally,proper proxys can be defined for link-level average traffic speed *** method is tested and evaluated using real-world traffic and POI occupancy data from Budapest(District XI.).The results of the correlation investigation justify an indirect relationship between activity at POIs and road traffic,which holds promise for future practical applicability.

关键词： Road traffic estimation Google popular times(GPT) Point of interest(POI) POI occupancy Genetic algorithm(GA)

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Evaluation of Circuit Reliability of Microelectronic Discrete-Analog Filters with Pole Frequency Adjustment 3

Evaluation of Circuit Reliability of Microelectronic Discret...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Samoilov, Leonty K. Butyrlagin, Nikolay V. Denisenko, Darya Yu. Ivanov, Yury I. Southern Federal University Automatic Control Systems department Rostov-on-Don Russia Don State Technical University Scientific research department Rostov-on-Don Russia

ISBN: (纸本)9798331516321

Circuit reliability determines the parameters of a microelectronic device with a spread in the nominal values of the elements included in its circuit. This allows estimating the microelectronic device parameters at the design stage. The article considers the circuit reliability of microelectronic discrete-analog filters on second-order switched capacitors, which is estimated by recording changes in the phase and frequency characteristics. The main equations of discrete-analog filters on second-order switched capacitors are given - the transfer function, the low-pass filter gain at the pole frequency, the low-pass filter gain at zero frequency, the pole frequency and the pole attenuation. Computer simulation using the Monte-Carlo method was performed using the Micro-Cap application program. The performed analysis made it possible to develop a promising option for assessing the circuit reliability of the discrete-analog filters on second-order switched capacitors, which consists in displaying not the the phase and frequency characteristics themselves, but presenting the results of their simulation in the form of graphs of the deviation of the frequency characteristics from its calculated value, with the parameters of all incoming components having a deviation in the range of up to ±1%. The generalized results of the frequency response and its deviation from the calculated value for various combinations of changes in the parameters of the elements are given in the table, and the spread of the output parameter is from 0.24 dB to 1.6 dB. © 2024 IEEE.

关键词： Low pass filters

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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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Fuzzy-Model-Based Fault-Tolerant control for Stochastic Re-Entrant Manufacturing systems

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IEEE Transactions on systems, Man, and Cybernetics: systems 2025年第5期55卷 3542-3556页

作者： Zhang, Kexin Gao, Qing Ding, Steven X. Lu, Jinhu Qiu, Jianbin Guo, Yige Beihang University School of Cyber Science and Technology Beijing100191 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Zhongguancun Laboratory Beijing100095 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China Zhongguancun Laboratory Beijing China

This study addresses the problem of guaranteed cost fault-tolerant fuzzy control for multiline re-entrant manufacturing systems (RMSs) against stochastic disturbances and workstation faults. Initially, a nonlinear hyperbolic impulsive partial differential equation model is employed to describe the complex and hybrid dynamics of RMSs suffering from unexpected faults within the working stations, and then the corresponding approximation T-S fuzzy model is constructed. In what follows, with the aid of the parallel distributed compensation fuzzy control scheme, the main results of stability analysis and controller synthesis for the closed-loop re-entrant manufacturing control system are derived using a timer-dependent Lyapunov functional with spatio-temporal auxiliary variables. It is found that by means of the proposed fault-tolerant control approach, the RMS can be effectively and robustly driven to a desired production mode with steady feeding and production rates while the upper bound of a quadratic cost function is minimized. Finally, the effectiveness of the proposed control approach is validated through numerical simulations. © 2013 IEEE.

关键词： Fuzzy control

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Data-driven consensus control of fully distributed event-triggered multi-agent systems

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Science China(Information Sciences) 2023年第5期66卷 147-161页

作者： Yifei LI Xin WANG Jian SUN Gang WANG Jie CHEN School of Automation Beijing Institute of Technology The State Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center Department of Control Science and Engineering Tongji University

This study investigates the consensus control issue in discrete-time linear multi-agent systems(MASs) using data-driven control under undirected communication networks. To alleviate the communication burden, an adaptive event-triggered control strategy involving only local information is proposed and a model-based stability condition is derived that guarantees the asymptotic consensus of MASs. Furthermore,a data-based consensus condition for unknown MASs is established by combining a data-based system representation with the model-based stability condition, using only pre-collected noisy input-state data instead of the accurate system information a priori. Specifically, both model-based and data-driven event-triggered controllers can be utilized without requiring any global information. The validity and correctness of the controllers and associated theoretical results are demonstrated via numerical simulations.

关键词： distributed control event-triggered control data-driven control discrete-time MASs

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Optimal and Robust control Design for Educational Magnetic Levitation System 16

Optimal and Robust Control Design for Educational Magnetic L...

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16th International Conference on Developments in esystems Engineering, DeSE 2023

作者： Hadi, Musadaq A. Ali, Hazem I. University of Technology-Iraq Control and Systems Engineering Department Baghdad Iraq

ISBN: (纸本)9798350381344

In this study, a novel, robust, and optimal control algorithm is introduced for the Magnetic Levitation (MagLev) system. Initially, a model for the MagLev system that inheriting instability and featuring a non-affine property, is developed. Subsequently, the system is analyzed using the Lyapunov Quadratic Function (LQF) to formulate a suitable controller capable of achieving stable system performance. To further enhance the control algorithm, the Most Valuable Player Algorithm (MVPA) is employed and its performance is compared to that of the Genetic Algorithm (GA) for the optimization of the controller's parameters. The effectiveness of our proposed control algorithm in compensating the MagLev system's problems is demonstrated by the outcomes. Additionally, a comparative analysis is conducted to elucidate the distinctions in performance between MVPA and GA. Finally, the controller is applied to a laboratory magnetic levitation device to validate the proposed control algorithm. © 2023 IEEE.

关键词： Genetic algorithms

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DNN-based Skeleton Independent Motion Retargeting 27

DNN-based Skeleton Independent Motion Retargeting

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Akber, Syed Muhammad Abrar Kazmi, Sadia Nishat Szczesna, Agnieszka Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these applications which is performed by motion-capturing (MoCap) systems. Due to the heterogeneity of MoCap systems and marker configurations, the captured skeletons may vary in their structure, number of joints, and bone lengths. The need for motion retargeting arises to transfer motion captured from one articulated actor to another. Although motion retargeting is a long-standing issue, current methods cannot automatically execute retargeting between skeletons. This paper presents the retraining of a popular motion retargeting network with a new large-scale motion dataset. The retraining aims to demonstrate the capabilities of the motion retargeting network to handle the problem of motion retargeting between skeletons that may have different structures. The paper first, presents the motion retargeting network that employs an encoder-decoder architecture. Afterward, we re-train the motion retargeting network with a new MoCap dataset. To validate the effectiveness of the network, we visually compare the generated results with the existing retargeting model. The results show that the motion retargeting network effectively retargets the different motions. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Decoder Deep neural network Encoder Motion retargeting

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Resilient annular finite-time synchronization for master-slave systems under scaling attacks

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IET control Theory and Applications 2023年第18期17卷 2458-2473页

作者： Murugesan, Sathishkumar Ishizaki, Takayuki Liu, Yen-Chen Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of Mechanical Engineering National Cheng Kung University Tainan Taiwan

This paper investigates the resilient annular finite-time synchronization and boundedness problems for master-slave systems under dynamic event-triggered scheme (ETS), actuator faults, and scaling attacks. A comprehensive model for characterizing scaling attacks is presented. The switched dynamic ETS is developed to reduce the bandwidth pressure. Two different internal variables are designed, each of which changes based on the switching manifold. Simultaneously, the resilient problem of switched master-slave systems with respect to stochastic scaling attacks is considered, where there are limited malicious signals introduced by the adversary. Based on the Lyapunov-like function involving the different internal dynamic variables, a set of criteria is established in the form of linear matrix inequalities (LMIs), which guarantee the annular finite-time boundedness. Finally, two examples are presented to verify the theoretical findings. © 2023 The Authors. IET control Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and technology.

关键词： Linear matrix inequalities

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