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Multifunctional control system to enhance the operational capability of the unmanned multirotor platform dedicated to the diagnostics of building structures

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Bulletin of the Polish Academy of sciences: Technical sciences 2025年第3期73卷

作者： Czyba, Roman Domin, Jaroslaw Górski, Marcin Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice Poland Silesian University of Technology Faculty of Electrical Engineering Gliwice Poland Silesian University of Technology Faculty of Civil Engineering Gliwice Poland

Drones have become common devices that are increasingly used, from toy mini drones to very advanced autonomous flying platforms used in various industries. The safety of using engineering structures and the need to shorten the time of carrying out diagnostic activities, and thus reduce costs, force the use of innovative tools to carry out an automated and unmanned process of assessing the technical condition of existing engineering structures, especially large-size ones, including bridges strengthened with external FRP (fibre reinforced polymer) composite overlays. There are conventional methods for assessing the technical condition of existing building structures conducted by inspectors and experts, involving the use of typical inspection and diagnostic tools. During the research, it was found that it is possible to conduct an automated and unmanned process of assessing the technical condition of engineering structures using an unmanned flying platform equipped with a thermal imaging diagnostic device. The uniqueness of the presented solution is that the drone is equipped with a docking module that allows the drone to be temporarily attached to the structure being diagnosed for the duration of diagnostic activities. To ensure appropriate conditions for structural diagnostics, a unique system of automated diagnostic processes and a multi-stage structure of the control system in all phases of operation were developed. The article presents a solution for the control system based on control consistent with the reference model. In particular, the focus was on the difficult and dangerous issue of altitude control during the docking phase. Simulation tests conducted in the MATLAB/Simulink environment, as well as laboratory and field tests on a real drone proved the correctness of the proposed solutions, which facilitated the undisturbed operation of the diagnostic module. © 2025 The Author(s).

关键词： Drones

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Robust Phase Retrieval from Quantized and Noisy Measurements

Robust Phase Retrieval from Quantized and Noisy Measurements

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025

作者： Gao, Yihong Zhu, Luteng An, Zhuoyang Shao, Mingjie The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Hong Kong Shandong University School of Information Science and Engineering Qingdao China Beijing Information Science and Technology University Computer School Beijing China Chinese Academy of Sciences Key Laboratory of System and Control Amss Beijing China

ISBN: (纸本)9798331519315

The phase retrieval (PR) problem involves recovering a signal from amplitude-only measurements and has been extensively studied in various physical measurement and signal processing systems. Recently, there has been increasing interest in the quantized phase retrieval (QPR) problem, where the observed amplitude is quantized to binary values. The existing studies have focused on the noiseless case. In this paper, we address a robust QPR problem that accounts for both quantization and noise. We formulate the robust QPR problem using maximum-likelihood estimation (MLE), which results in a non-convex and challenging optimization problem due to the complexity of its likelihood function. To obtain a high-quality solution, we develop an expectation-maximization (EM) algorithm combined with the Wirtinger flow, allowing us to convert the problem into a more manageable form at each iteration. Our method is implemented on both randomly generated synthetic data and image reconstruction tasks. The results demonstrate that our approach significantly enhances signal recovery performance under the combined effects of quantization and noise. Additionally, the proposed method exhibits better runtime efficiency compared to existing approaches. © 2025 IEEE.

关键词： Maximum likelihood estimation

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Real-time Tiredness Detection System using Nvidia Jetson Nano and OpenCV 11

Real-time Tiredness Detection System using Nvidia Jetson Nan...

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11th International Conference on Information technology and Quantitative Management, ITQM 2024

作者： Florian, Nicolae Popescu, Dumitru Hossu, Andrei Department of Automatic Control and Systems Engineering University Politehnica Bucuresti Bucharest060042 Romania Academy of Romanian Scientists Romania

In this paper, we explore how to use a Nvidia Jetson Nano and Python to create a system that detects weariness in a person's face using computer vision and machine learning techniques. The system captures the person's face in real time, preprocesses the picture to cut noise, then detects the face using Haar cascades. Next, using computer vision algorithms, characteristics associated with weariness, such as the eyes, are retrieved. These characteristics are then used to build a machine learning model that can predict weariness in the live stream feed. Lastly, using a graphical user interface, the findings are shown, and the system may be fine-tuned to increase accuracy. This device might be used in applications such as driver monitoring and traffic safety. © 2024 The Authors.

关键词： Graphical user interfaces

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Special Session: D-MATE: A Design Methodology for Connecting automatic Test Equipment in Industry 4.0 26

Special Session: D-MATE: A Design Methodology for Connecting...

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26th IEEE Latin American Test Symposium, LATS 2025

作者： Biondani, Francesco Tosoni, Francesco Dall’Ora, Nicola Fraccaroli, Enrico Vinco, Sara Cheng, Dong Seon Fummi, Franco Department of Engineering for Innovation Medicine Section of Engineering and Physics University of Verona Italy Department of Engineering Sciences Guglielmo Marconi University Italy Department of Control and Computer Engineering Politecnico di Torino Italy

ISBN: (纸本)9781665477635

With the growing presence of semiconductor devices in healthcare, automotive, and consumer electronics, automatic Test Equipment (ATE) systems play an increasingly vital role in ensuring quality and reliability during validation. Despite their importance, ATE systems often operate in isolation from other manufacturing processes, limiting interoperability and integration potential. Consequently, fully incorporating ATE systems within the Industry 4.0 framework remains a largely unaddressed challenge. To bridge this gap, we propose adopting Open Platform Communications Unified Architecture (OPC UA), the industry de-facto standard communication protocol for machines, with an accompanying specification tailored to ATE systems. We developed and validated our information model on an advanced ATE system, demonstrating its practical application. The results showcase the successful integration of the ATE system into a fully-fledged Industrial computer engineering (ICE) laboratory demonstrator. This study validates the effectiveness of our model in a real-world scenario and highlights the significance of our integration approach within the context of Industry 4.0. © 2025 IEEE.

关键词： automatic testing

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Multi-mode High-precision Fault Diagnosis control System Manage Method 3

Multi-mode High-precision Fault Diagnosis Control System Man...

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3rd International Conference on Computing, Communication, Perception and Quantum technology, CCPQT 2024

作者： Wen, Yudi Wang, Jing Zhang, Ying Quality Manage Department Beijing Aerospace Automatic Control Institute Beijing China Projects Executive Office Equipment Integrated Logistics Support Center China Academy of Launch Vehicle Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Beijing Aerospace Automatic Control Institute Peking University Beijing China

ISBN: (纸本)9798331528386

The high-precision fault diagnosis management method in multi-mode control systems was studied. Three typical power conversion circuits were selected to use full convolutional network (FCN), residual network (RESNET) and self-attention network (TRANSFORMER) for fault diagnosis algorithm research, and a fault diagnosis management method verification platform was built based on this. The algorithm model was built using Python in the Pytorch environment on a computer with 16GB RAM and a 3060 graphics card. The switching power supply circuit based on Tps53355 was analyzed by Pspice sensitivity, and 6 devices with the greatest impact on the output were obtained. The Adam optimizer was used, the total number of epochs trained was 60, and the mini-batch size was fixed to 64. The simulation verification showed that this model can achieve the system engineering management requirements: the fault detection accuracy is not less than 91%, the false alarm rate of lightweight power warning is not higher than 1.05%, and under multiple faults, no less than 3 composite faults can be identified. © 2024 IEEE.

关键词： Power supply circuits

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Research on Task Scheduling Algorithms for Cloud-Edge Collaboration 19th

Research on Task Scheduling Algorithms for Cloud-Edge Collab...

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Lu, Shuai Zhou, Haibo Zhao, Shuaishuai Xu, Wangbei Fang, Kai Tianjin300384 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China College of Mathematics and Computer Sciences Zhejiang A&F University Hangzhou311300 China

ISBN: (纸本)9783031651229

With the advent of the 5G era, the development of IoT technology has been accelerated. Due to the continuous increase in the amount of data waiting to be processed from the edge, edge nodes may struggle to handle such a vast amount of data. Therefore, the technology of cloud-edge collaboration has emerged, and how to achieve cloud-edge collaborative task scheduling has become a current research hotspot. This article provides a detailed exposition of the relevant work on task scheduling in the cloud-edge environment, and outlines the common optimization objectives in the cloud-edge collaboration scenario. The methods used to solve task scheduling problems are classified and summarized, including heuristic, heuristic algorithm based on linear programming, and meta-heuristic algorithms. The advantages and disadvantages of each algorithm are analyzed. Finally, the development trends of large-scale task scheduling in the cloud-edge environment are discussed, providing valuable insights for achieving real-time performance, efficiency, and energy conservation in the Internet of Things. © ICST Institute for computer sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Scheduling algorithms

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Community Search Based on Containment control of Multi-Agent System with Opinion Leaders 43

Community Search Based on Containment Control of Multi-Agent...

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43rd Chinese control Conference, CCC 2024

作者： Liu, Siyang Li, Tong Shao, Jinliang Zheng, Wei Xing University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089 China Western Sydney University School of Computer Data and Mathematical Sciences SydneyNSW2751 Australia

ISBN: (纸本)9789887581581

Community search is the problem of identifying the community in which a given node resides. Different from traditional community search methods based on specific topological structures, this paper proposes a community search algorithm based on containment control of multi-agent system by studying the influence of opinion leaders with competitive relationships in community formation. Firstly, the Breadth-First Search method is used to locally sample the network. Secondly, containment control of multi-agent system is applied to obtain the final state of each node for local community partitioning. Finally, grounded in practical considerations, an effective leadership transfer mechanism is proposed to update the results and enhance search precision. Through experiments on real-world networks and synthetic networks in comparison with three local community detection algorithms, the effectiveness and rationality of our algorithm are demonstrated. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Equilibrium-Independent control of Continuous-Time Nonlinear Systems Via the LPV Framework

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IEEE Transactions on automatic control 2025年

作者： Koelewijn, Patrick J. W. Weiland, Siep Toth, Roland Eindhoven University of Technology Control Systems Group Department of Electrical Engineering Eindhoven Netherlands Institute for Computer Science and Control Systems and Control Laboratory Budapest Hungary

In this paper, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.t. each forced equilibrium point of the system. This "equilibrium-free"concept is especially beneficial for control problems that require the tracking of setpoints and rejection of persistent disturbances, such as input loads. In this paper, we show how the velocity form, i.e., the time-differentiated dynamics of the system, plays a crucial role in characterizing these properties and how the analysis of it can be solved by the application of Linear Parameter-Varying (LPV) methods in a computationally efficient manner. Furthermore, by leveraging the properties of the velocity form and the LPV framework, a novel controller synthesis method is presented which ensures closed-loop universal shifted stability and performance. The proposed controller design is verified experimentally on a real system. Additionally, we compare the proposed method to a standard LPV control design, demonstrating the improved stability and performance guarantees of the new approach. © 1963-2012 IEEE.

关键词： control system synthesis

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Passive Positioning and Filtering technology Using Relative Height Measurement Information 3rd

Passive Positioning and Filtering Technology Using Relative ...

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3rd International Conference on Artificial Intelligence, 2022

作者： Cao, Lai-Tian Chen, Kai-Wei Sun, Peng Qiang, Xiao-Min Zhang, Yi-Ming Zhang, Li-Jia Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China Beijing Institute of Computer Technology and Application Beijing100854 China

ISBN: (纸本)9789811694226

Under the condition of obtaining the passive measurement angle information and the relative height information of the positioning system and the target, using the least squares algorithm to locate the radiation source target, and then using the Kalman filter to filter and predict the position data after the least square estimation, so as to make the best estimation of the motion state of the radiation source target. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Kalman filters

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One-Click Total Bacterial Quantification: An All-in-One automatic Microfluidic Platform for Simple Liquid Food Samples

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IEEE Sensors Journal 2025年第12期25卷 22667-22676页

作者： Yang, Ping Liang, Baihui Yuan, Haojun Zheng, Junmei Zou, Tinglang Xin, Pengfei Yan, Xinxin Wu, Jinlei Luo, Zhiquan Jin, Qinghui Gao, Wanlei Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China Zhejiang Fashion Institute of Technology Mechanical and Electrical Engineering School Zhejiang Ningbo315211 China Healthy and Intelligent Kitchen Engineering Research Center of Zhejiang Province Zhejiang Ningbo315336 China Ningbo Polytechnic Zhejiang Ningbo315800 China Chinese Academy of Sciences State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Shanghai200050 China

Food safety detection is essential for disease prevention and public health protection. However, current bacterial detection technologies generally face challenges including complex operation, long detection cycles, and large sample requirements. While adenosine triphosphate (ATP) bioluminescence technology offers rapid, sensitive microbial quantification, traditional processes remain inefficient. To address these challenges, this study developed a fully automated integrated ATP bioluminescence bacterial quantification platform. The system integrates a microfluidic chip, automatic sample injection module, and real-time luminescence analysis photoelectric module, achieving an end-to-end workflow of mixing, on-chip reaction, analysis, and cleaning, eliminating manual intervention and improving convenience and efficiency. Chip’s advanced structures ensure high mixing efficiency of 98.9%, significantly reducing required sample volume and cost. With detection time under 10 min, experimental validation demonstrated excellent interbatch consistency and repeatability (RSD 2 = {0.9995} ), and detection limit of 4.86 pM. For Vibrio parahaemolyticus, the system achieved a detection range of 102 – 108 CFUmL ( R2 = 0.996 ). In spiked Coca-Cola samples, the system maintained excellent anti-interference ability and accuracy ( R2 = 0.941 ), with standard curve slopes differing by only 11.3% from PBS buffer. This portable platform with high sensitivity, stability, and repeatability is suitable for field testing of water and simple liquid foods. In the future, by integrating specific bacterial capture technology and sample pretreatment modules, the system is expected to extend to more complex matrix sample detection, further enhancing its application value in food safety. © 2001-2012 IEEE.

关键词： Microfluidic chips

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