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IEEE Transactions on Industrial Cyber-Physical Systems 2023年 1卷 227-235页

作者： Le Zhou Lixinqian Yu Beiping Hou Hongbo Zheng Zheng-Guang Wu School of Automation and Electrical Engineering Zhejiang University of Science & Technology Hangzhou China Faculty of Engineering and IT University of Melbourne Melbourne Australia National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

Although remarkable studies on dynamic process modeling and monitoring in cyber-physical systems have been conducted, there are still several limitations to these approaches, rendering them unsuitable for practical applications. Firstly, the common dynamic models are built based on complete data, which means that their modeling performance usually deteriorates when there are missing measurements. Secondly, practical data often exhibits more complex characteristics, such as non-stationary and non-Gaussian noises. Therefore, a robust dynamic latent variable model is proposed to address the challenges of dynamic process modeling and monitoring in complex measurement environments with missing values. The proposed method effectively handles non-Gaussian noises and recursively estimates missing values, thus enhancing the monitoring performance within the dynamic latent variable modeling framework. Finally, the feasibility and superiority of the proposed method are evaluated through a numerical example and a real wastewater treatment case, demonstrating its effectiveness and practicality in real-world scenarios.

关键词： Cyber-physical systems Principal component analysis Process monitoring Data models Load modeling Numerical models Loading

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Switching control of Transmitting Lane Sections in Dynamic Wireless Charging System for Electric Vehicles

Switching Control of Transmitting Lane Sections in Dynamic W...

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International Conference on Communications and Electronics, ICCE

作者： Nguyen Kien Trung Bui Duc Hieu Ho Xuan Viet Anh Tran Duc Hiep Nguyen Thi Diep School of Electrical and Electronic Engineering Hanoi University of Science and Technology Viet Nam Faculty of Electrical Engineering Hanoi University of Industry Viet Nam Faculty of Control and Automation Electric Power University Viet Nam

ISBN: (数字)9798350379792

ISBN: (纸本)9798350379808

To reduce the magnetic field radiation and power loss in dynamic wireless charging systems for electric vehicles, the power is supplied only to the section of the transmitting lane where the electric vehicle is passing through, rather than to the entire transmitting lane. This paper proposes a new approach for controlling the switching of transmitting lane sections based on the position of electric vehicles. The proposed method only requires measuring current on coils below the transmitting lane to locate electric vehicles, negating the need for additional sensors or cameras. Moreover, the switching control position is selected to minimize the power pulsation of the load. The study shows that the position of the electric vehicle is accurately detected, and the power pulse rate is 5.8%.

关键词： Wireless communication Wireless sensor networks Inductive charging Switches Electric vehicles control systems Propagation losses

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High-Precision Dimensional Measurement for Digital Crown Part of Smartwatch from Microscopic Image

High-Precision Dimensional Measurement for Digital Crown Par...

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International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Hongqiang Lyu Yuhang Zhang Liang Bai Shengjun Xu Huangwei Zhong Yuan Liu Faculty of Electronic and Information Engineering School of Automation Science and Engineering Xi'an Jiao tong University Shaanxi China School of Information and Control Engineering Xi'an University of Architecture and Technology Shaanxi China

Digital crown is a precision part used for human-computer interaction in the smartwatch. The diameter of the digital crown determines its grade. Currently, mainly used Coordinate Measuring Machine(CMM) to measure the diameter of digital crown, but the measurement method has the problem of high cost and low efficiency. To address the problem, we propose a high-precision dimensional measurement system for digital crown part of smartwatch. The system consists of four modules: microscopic image acquisition module, central host, machine vision software and PLC control module. The image of digital crown is captured by the microscopic image acquisition module and sent to the software through the central host. In the machine vision software, we propose a defect detection algorithm using ResNet to filter defective digital crown in real time, and we design a circle detection algorithm based on edge point tracking to measure the diameter of digital crown. The measurement result is sent to the PLC control module through wireless transmission and control the mechanical suction cups to place the part. Finally, we create a dataset to test the performance of the system, the defect detection model achieves an accuracy of 97.33% and a runtime of 47ms, the dimensional measurement algorithm achieves a maximum error of 0.003878mm, a grading accuracy of 95.29%, and a measurement time of 465ms.

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Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics

Efficient Time-Delay System Optimization with Auto-Configure...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Senkerik, Roman Byrski, Aleksander Guzowski, Hubert Janku, Peter Kadavy, Tomas Oplatkova, Zuzana Kominkova Matusu, Radek Pluhacek, Michal Pekar, Libor Smolka, MacIej Viktorin, Adam Tomas Bata University A.I. Lab Faculty of Applied Informatics Department of Informatics and Artificial Intelligence Zlin Czech Republic Tomas Bata University Faculty of Applied Informatics Department of Automation and Control Engineering Zlin Czech Republic Institute of Computer Science Agh University of Science and Technology Krakow Poland

ISBN: (纸本)9798350337020

This paper presents an experimental study that compares the performance of four selected metaheuristic algorithms for optimizing a time delay system model. Time delay system models are complex and challenging to optimize due to their inherent characteristics, such as non-linearity, multi-modality, and constraints. The study includes an explanation of the choice and core functionality of the selected algorithms, which are both baseline and state-of-the-art variants of self-organizing migrating algorithm (SOMA), state-of-the-art variant from the Success-History-based Adaptive Differential Evolution family of algorithms, with emphasis on diverse search (DISH algorithm), and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm. The hyperparameters of the metaheuristic algorithms were set using the iRace automatic algorithm configuration framework. The paper emphasizes the importance of metaheuristic algorithms in control engineering for time-delay systems to develop more effective and efficient control strategies and precise model identifications. The experimental results highlight the effectiveness of the state-of-the-art algorithms with specific adaptive mechanisms like population organization process, diverse search and adaptation mechanisms ensuring a gradual transition from exploration to exploitation. Overall, this study contributes to understanding the challenges and advantages of using metaheuristic algorithms in control engineering for time delay systems. The results provide valuable insights into the performance of modern metaheuristic algorithms and can help guide the selection of appropriate adaptive mechanisms of metaheuristics. © 2023 IEEE.

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Context-Aware control for Quality Improvement in Liquid Steel Manufacturing

Context-Aware Control for Quality Improvement in Liquid Stee...

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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Birs, Isabela R. Muresan, Cristina I. Susca, Mircea Mihaly, Vlad Mihai Ghita, Mihaela Ghita, Maria De Keyser, Robin Ionescu, Clara Eedt Decision & Control Flanders Make Consortium Tech Lane Science Park 125 and 131 GhentB-9052 Belgium Ghent University Research Group of Dynamical Systems and Control Faculty of Engineering and Architecture Belgium Technical University of Cluj Napoca Department of Automation Memorandumului nr 28 Cluj-Napoca400114 Romania

ISBN: (纸本)9798350335446

This paper presents an original theoretical and implementation framework of fractional order event-based control with the purpose of quality improvement at the end production line of a continuous casting process. A real-life steel manufacturing plant is taken into consideration in the study. A prior fractional order model is considered to tune a fractional order Proportional Integral controller that ensures an ideal flow velocity of liquid steel. A novel event-based fractional order methodology is proposed that uses internal and external process events in order to improve quality. The implementation strategy takes into consideration available software and hardware components at the plant site, offering a realistic and implementable solution, highly suitable for the current steel industry setting. Numeric simulations successfully validate the proposed methodology. © 2023 IEEE.

关键词： Steelmaking

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Classification of skin lesions using morpho-granulometry features derived from color clusters

Classification of skin lesions using morpho-granulometry fea...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Gigi Tăbăcaru Simona Moldovanu Marian Barbu Department of Automatic Control and Electrical Engineering Faculty of Automation Computers Electrical Engineering and Electronics "Dunarea de Jos" University of Galati Galati Romania Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics The Modelling & Simulation Laboratory "Dunarea de Jos" University of Galati Galati Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

The skin lesion can be thought of as a biological system, so the morpho-granulometry of significant color clusters found in skin lesions is one of the elements that reproduce in a natural way the structure of the lesion, this novelty is highlighted in this study. Important features of skin lesions can be modulated by fusing neural networks (NN) and machine learning (ML). By choosing the nevus and melanoma classes, the primary goal was accomplished, and three databases were used to test the methodology. The characteristics based on morpho-granulometry allowed for the identification of microstructure within the images, which can be very helpful in characterizing the biological system. Based on random forest (RF) and extreme gradient boosting (XGboost) classifiers, this work aimed to improve the classification performance of important feature selection. The selected features from three free image databases with three NNs were classified. In a binary classification of nevus vs. melanoma, the results showed that the pattern recognition neural network (PRNN), according to the PH2 database, provided an accuracy of 0.923 and an F1-score of 0.876. The classification is interpretable if it is not validated. In our study, the best results were verified with a logistic regression (LR) classifier.

关键词： Accuracy Recurrent neural networks Image color analysis Melanoma Biological systems Artificial neural networks Feature extraction Skin Lesions Classification tree analysis

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DMD-Based Model Predictive control for a Coupled PDE-ODE System

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IFAC-PapersOnLine 2023年第2期56卷 4258-4263页

作者： Dirk Wolfram Thomas Meurer Chair of Automation and Control Faculty of Engineering Kiel University 24143 Kiel Germany Digital Process Engineering Group Institute for Mechanical Process Engineering and Mechanics Karlsruhe Institute of Technology (KIT) 76187 Karlsruhe Germany

Models resulting from the application of the finite element method (FEM) are usually high dimensional, thus in general preventing the application of optimal control concepts under real-time conditions. In this work a system consisting of the heat equation defined on a 3-dimensional domain with local in-domain thermal actuators is considered, whose modeling results in a coupled PDE-ODE description. Based on simulation data, a data driven reduced order model is determined using the Dynamic Mode Decomposition with control (DMDc). Based on the DMDc model a model predictive control (MPC) approach with state estimator is developed to realize a desired temperture profile on the given domain. The concept is evaluated involving the high-dimensional finite element model as plant model.

关键词： Distributed parameter systems Reduced order model Data-driven control Model predictive control Heat conduction

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Simulation analysis of erosion characteristics of slurry pipelines based on CFD-DDPM pipeline parameters 43

Simulation analysis of erosion characteristics of slurry pip...

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43rd Chinese control Conference, CCC 2024

作者： Yuan, Haoran Wu, Jiande Xiong, Xin Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan Kunming650500 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Yunnan Kunming650500 China Kunming University of Science and Technology Yunnan Key Laboratory of Intelligent Control and Application Yunnan Kunming650500 China

ISBN: (纸本)9789887581581

In order to explore the impact of pipe diameter, bend-diameter ratio and bend angle on the erosion of slurry pipe, a numerical simulation method approach grounded in Computational Fluid Dynamics - Dense Discrete Phase Model (CFD-DDPM) is proposed. Firstly, the geometric models of bends with different pipe diameters, bend-diameter ratios, and bend angles are constructed;secondly, the slurry pipe erosion model based on Dense Discrete Phase Model (DDPM) is constructed;then, model validation is conducted on the slurry pipe erosion model to affirm the accuracy of the model;finally, the computational fluid dynamics method is employed to simulate the erosion and wear behavior of the pipeline, to investigate the impact of pipe diameter, bend-diameter ratio and bend angle on the erosion and wear of the slurry pipeline. At the same time, gray correlation analysis was also used to analyze the significant relationship between the three pipeline factors and erosion and wear. The results show that the main erosion area is not determined, with the change of the pipeline parameters, the most serious erosion area will move;the effect of different pipeline parameter variations on the erosion rate is different, in which the pipe diameter of the largest impact, the second largest bend-diameter ratio, the smallest impact of the bend angle. Therefore, in the design of slurry pipeline, should first consider the influence of pipe diameter factors. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Slurry pipelines

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Improvement of VMD and compensation distance for rolling bearing fault detection methods

Improvement of VMD and compensation distance for rolling bea...

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第43届中国控制会议

作者： Kai Guo Xin Xiong Jun Ma Faculty of Information Engineering & Automation Kunming University of Science and Technology Key Laboratory of Intelligent Control and Application of Yunnan Province Kunming University of Science and Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

To address the problem of varying detection performance and the lack of universal standards for early fault detection in rolling bearings,a method for early fault detection in rolling bearings based on an improved variational modal decomposition(IVMD) and compensation distance(CD) is proposed from the perspective of constructing performance degradation ***,the number of modes K for variational mode decomposition(VMD) is adaptively determined using the estimated signal-to-noise ratio(eSNR) ***,the probability density function(PDF) distribution of the intrinsic mode function(IMF) obtained from the decomposition is calculated,and the compensation distance(CD) degradation evaluation index is constructed by integrating the inter-class and intra-class ***,a sliding window is used to repair the false fluctuations in the CD degradation index based on linear regression equations and the 3σ principle,resulting in a sensitive degradation index that accurately characterizes the rolling bearing degradation process Improved Compensation Distance(ICD).Finally,the Chebyshev inequality is used to establish the relationship between the healthy threshold and the ICD index,enabling early fault detection in rolling *** analysis of one set of experiments shows that the proposed method can accurately characterize the degradation process of rolling bearings and effectively detect early faults,providing a new solution for early fault diagnosis of bearings.

关键词： Variational Modal Decomposition Rolling Bearings Fault Detection Spurious Fluctuation Repair Chebyshev's Inequality

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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1313-1316页

作者： Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real *** this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

关键词： Intelligence DAO TAO

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