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arXiv 2024年

作者： Tang, Jian Zuo, Yun-Lan Xu, Xun-Wei Huang, Ran Nori, Adam Miranowicz Franco Jing, Hui Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Theoretical Quantum Physics Laboratory Cluster for Pioneering Research RIKEN Wako-shi Saitama351-0198 Japan Quantum Information Physics Theory Research Team Quantum Computing Center RIKEN Wako-shi Saitama351-0198 Japan Institute of Spintronics and Quantum Information Faculty of Physics Adam Mickiewicz University Poznań61-614 Poland Physics Department The University of Michigan Ann ArborMI48109-1040 United States

Backscattering losses, due to intrinsic imperfections or external perturbations that are unavoidable in optical resonators, can severely affect the performance of practical photonic devices. In particular, for quantum single-photon devices, robust quantum correlations against backscattering losses, which are highly desirable for diverse applications, have remained largely unexplored. Here, we show that single-photon blockade against backscattering loss, an important purely quantum effect, can be achieved by introducing a nanotip near a Kerr nonlinear resonator with intrinsic defects. We find that the quantum correlation of single photons can approach that of a lossless cavity even in the presence of strong backscattering losses. Moreover, the behavior of such quantum correlation is distinct from that of the classical mean-photon number with different strengths of the nonlinearity, due to the interplay of the resonator nonlinearity and the tip-induced optical coupling. Our work sheds new light on protecting and engineering fragile quantum devices against imperfections, for applications in robust single-photon sources and backscattering-immune quantum devices. Copyright © 2024, The Authors. All rights reserved.

关键词： Nanotips

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A critical comparizon on attitude estimation: From Gaussian approximate filters to coordinate-free dual optimal control

arXiv

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arXiv 2021年

作者： Koumpis, Nikolas P. Panagiotou, Panagiotis A. Arvanitakis, Ioannis Faculty of Mechanical Maritime and Materials Engineering Delft Center for Systems and Control TU Delft Mekelweg 2 Delft2628 CD Netherlands Faculty of Electronic and Electrical Engineering University of Sheffield 3 Solly Street SheffieldS1 4DE United Kingdom Faculty of Engineering Environment and Computing Coventry University 3 Gulson Rd CoventryCV1 2JH United Kingdom

This paper conveys attitude and rate estimation without rate sensors by performing a critical comparison, validated by extensive simulations. The two dominant approaches to facilitate attitude estimation are based on stochastic and set-membership reasoning. The first one mostly utilizes the commonly known Gaussian-approximate filters, namely the EKF and UKF. Although more conservative, the latter seems to be more promising as it considers the inherent geometric characteristics of the underline compact state space and accounts -from first principles- for large model errors. We address the set-theoretic approach from a control point of view, and we show that it can overcome reported deficiencies of the Bayesian architectures related to this problem, leading to coordinate-free optimal filters. Lastly, as an example, we derive a modified predictive filter on the tangent bundle of the special orthogonal group TSO(3). Copyright © 2021, The Authors. All rights reserved.

关键词： Stochastic systems

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Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis

arXiv

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arXiv 2024年

作者： Hu, Jinhui Chen, Guo Li, Huaqing Cheng, Huqiang Guo, Xiaoyu Huang, Tingwen School of Automation Central South University Changsha410083 China Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China Key Laboratory of Dependable Services Computing in Cyber Physical Society Ministry of Education College of Computer Science Chongqing University Chongqing400044 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen518055 China

Privacy leakage and Byzantine failures are two adverse factors to the intelligent decision-making process of multiagent systems (MASs). Considering an unsafe MAS with these two issues, this paper targets the resolution of a class of nonconvex optimization problems under the Polyak-Lojasiewicz (P-L) condition. To address this problem, we first identify and construct the unsafe MAS model. Under this kind of unfavorable MASs, we mask the local gradients with Gaussian noises and adopt a resilient aggregation method self-centered clipping (SCC) to design a differentially private (DP) decentralized Byzantine-resilient algorithm, namely DP-SCC-PL, which simultaneously achieves differential privacy and Byzantine resilience. The convergence analysis of DP-SCC-PL is challenging since the convergence error can be contributed jointly by privacy-preserving and Byzantine-resilient mechanisms, as well as the nonconvex relaxation, which is addressed via seeking the contraction relationships among the disagreement measure of reliable agents before and after SCC aggregation, together with the optimal gap. Theoretical results reveal that DP-SCC-PL achieves consensus among all reliable agents and sublinear (inexact) convergence with well-designed step-sizes. It has also been proved that if there are no privacy issues and Byzantine agents, then the asymptotic exact convergence can be recovered. Numerical experiments verify the utility, resilience, and differential privacy of DP-SCC-PL by tackling a nonconvex optimization problem satisfying the P-L condition under various Byzantine attacks. Copyright © 2024, The Authors. All rights reserved.

关键词： Differential privacy

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Design and Development of Multiple Protocols Supported Embedded Gateway for Industrial Networked Electrical Metering Systems

Design and Development of Multiple Protocols Supported Embed...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Siripong Charukwongsawat Santi Nuratch Panuthat Boonpramuk Embedded Computing and Control Laboratory Faculty of Engineering KMUTT

This paper presents the design and development of multiple protocols supported gateway for industrial networked electrical metering systems. There are two main parts proposed in this paper. Firstly, the flexible hardware design and development of smart meter that allow users to customize the communication protocols. Secondly, the firmware design and implementation techniques for the multiple protocols supported gateway. The smart meters used in this research are divided into three groups. The first group uses WebSockets as communication protocol. The second group utilizes MQTT protocol. The third group uses Modbus serial and Modbus TCP. All meters can measure all required electrical parameters, e.g., voltage, current, watt-hour, power factor and many other. The gateway can handle all required protocols and it can perform all communication channels concurrently. In addition, a plug-and-play algorithm is also mentioned. The firmware of the meters and the gateway are implemented based on Free-RTOS with C language to maintain speed and system performance. All communication protocols of the smart meters and gateway are implemented follow industrial standards. Therefore, the gateway and all groups of meters can be deployed to all standard industrial networks. In experiments, the gateway is connected to the internet to serve external requests from clients. The meters and gateway are evaluated in various possible conditions. The experimental results show that the meters can measure the desired electrical parameters and exchange their data correctly as expected. The gateway can perform all protocols and can respond to all incoming requests from clients concurrently and correctly.

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Design and Development of Embedded Networked Wireless Digital controller for Multiple Plants using Bit-Representation Data Formation

Design and Development of Embedded Networked Wireless Digita...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Kritapras Mee-im Santi Nuratch Wanchak Lenwari Embedded Computing and Control Laboratory Faculty of Engineering KMUTT

This paper proposes some powerful techniques to design and development data packages used for multiple plants embedded wireless digital controller. The system performs data exchanging using master-slave topology, the common one in industrial automation systems. The master and slaves are implemented on low-cost IoT-supported 32-bit microcontroller. The Free-RTOS is used as real-time operating system. All drivers of the master and slave controllers are implemented using C language and mainly preforms bitwise operations to obtain the speed and efficiency of the code execution. The plants used in this research are brushed dc-motors driven by PWM-based bidirectional H-bridge drivers. There are four types of the data packages are proposed. The data packages are designed using bit-representation data formation techniques. The data package design technique requires only one byte for the package header. It can reduce numbers of bytes of data exchanged over network. To archive the real-time control and monitoring capabilities of the system, the WebSockets protocol is selected implemented in all devices, master, slaves and computer. In addition, the proposed system is also evaluated on other protocols, the HTTP and MQTT. The experimental results show that the proposed techniques, system design and data package design, can perform on all communication protocols, no package loss. Using the WebSockets as communication protocol can archive the real-time capability of the system. It means that the proposed system can be implemented in real-world applications, the industrial real-time control monitoring and control systems.

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The Graphics and Physics Engines for Rapid Development of 3D Web-based Applications

The Graphics and Physics Engines for Rapid Development of 3D...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Nitikorn Eamnapha Santi Nuratch Wanchak Lenwari Embedded Computing and Control Laboratory Faculty of Engineering KMUTT

This paper presents an engine that provides graphics and physics capabilities. It can be used as a powerful library for modern real-time 3D realistic WebGLbased 3D applications. There are two main parts proposed in this research. The first one is Engine Core, the graphics and physics engines. The second one is Engine APIs, the Application Programming Interfaces of the proposed engine. The Engine APIs provides all required functions to create the 3D graphics and physics applications running on web-browser. All modules of the proposed engine are written in modern JavaScript (ES6) and transpired to common JavaScript (CJS). It means that the transpired engine can be integrated in the webpage and run on target web-browser directly. In addition, this paper provides some other meaningful information to readers who are interesting in web-based 3D graphics and physics applications, e.g., Blender modeling techniques, the glTF model exporting and complex shape assets and their colliders creation techniques.

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A Survey of Robot Manipulation in Contact

arXiv

引用

arXiv 2021年

作者： Suomalainen, Markku Karayiannidis, Yiannis Kyrki, Ville Center of Ubiquitous Computing Faculty of Information Technology and Electrical Engineering University of Oulu Finland Systems and Control Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden Intelligent Robotics research group Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Helsinki Finland

In this survey, we present the current status on robots performing manipulation tasks that require varying contact with the environment, such that the robot must either implicitly or explicitly control the contact force with the environment to complete the task. Robots can perform more and more manipulation tasks that are still done by humans, and there is a growing number of publications on the topics of 1) performing tasks that always require contact and 2) mitigating uncertainty by leveraging the environment in tasks that, under perfect information, could be performed without contact. The recent trends have seen robots perform tasks earlier left for humans, such as massage, and in the classical tasks, such as peg-in-hole, there is a more efficient generalization to other similar tasks, better error tolerance, and faster planning or learning of the tasks. Thus, in this survey we cover the current stage of robots performing such tasks, starting from surveying all the different in-contact tasks robots can perform, observing how these tasks are controlled and represented, and finally presenting the learning and planning of the skills required to complete these tasks. © 2021, CC BY.

关键词： Surveys

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Temperature prediction of generator carbon brush based on LSTM neural network

Temperature prediction of generator carbon brush based on LS...

引用

2021 China Automation Congress, CAC 2021

作者： Zhang, Qing Jiao, Tingyang Ma, Yinxing Zhang, Youmin Wu, Xiaohui Wu, Pengyue Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China The Faculty of Computing Science The University of Alberta EdmontonABT6G 2R3 Canada Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi 'an University of Technology Xi'an710048 China Department of Mechanical Industrial and Aerospace Engineering Concordia University MontrealQCH3G 1M8 Canada Huaneng Weihai Power Generation Co. Ltd Weihai264200 China Xi 'an Thermal Power Research Institute Co. Ltd Xi'an710048 China

ISBN: (纸本)9781665426473

In order to improve the prediction accuracy of the carbon brush temperature trend of the generator, analyzing the operating state of the generator more accurately, and reduce other accidents like the unplanned outage caused by carbon brush failure of the generator in the power plant. A multi-step temperature prediction model based on the LSTM (Long Short-Term Memory) neural network is proposed. The data comes from real operating carbon brush temperature of Weihai Power Plant in ten days. Then the temperature prediction model is established to achieve an accurate prediction of the carbon brush temperature in the future day. The prediction error is stable within 0.4 °C. By comparing the predicted results of the BP model and Elman model, the error between the predicted results of each model and the actual temperature data is analyzed. By comparing the indicators and analyzing the actual curves, the results show that LSTM neural network has higher accuracy in predicting the temperature of generator carbon brush. This method is of reference significance for the accurate analysis of the operation state of the generator and the load analysis of the excitation system. © 2021 IEEE

关键词： Long short-term memory

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Automation 5.0: The Key to Systems Intelligence and Industry 5.0

引用

IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

AUTOMATION has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“Automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： Automation machinery intelligence

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Development of Industrial Equipment Diagnostics System Based on Modified Algorithms of Artificial Immune Systems and AMDEC Approach Using Schneider Electric Equipment

Development of Industrial Equipment Diagnostics System Based...

引用

International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Galina Samigulina Zarina Samigulina Lab. “Intellectual control systems and forecasting” Institute of Information and Computing Technologies Almaty Kazakhstan Faculty of Information Technologies Kazakh British Technical University Almaty Kazakhstan

ISBN: (数字)9781728145907

ISBN: (纸本)9781728145914

Modern industrial control systems for complex objects are created using the latest achievements in the microprocessor technology and based on a range of technical tools from leading manufacturers, such as: Honeywell, Siemens, Schneider Electric, etc. The automation of large industrial enterprises of oil and gas, metallurgy, aerospace and other industries is carried out taking into account the requirements of reliability, safety and efficiency of the equipment. An important factor is the timely analysis and diagnosis of control systems, since even minor, unpredictable equipment failures can lead to emergency situations, as well as to economic production losses. Distributed enterprise management systems are overloaded with data streams, most of which are archived and are not further analyzed. An effective solution to this problem is the integration and application of the latest achievements in the field of artificial intelligence (AI). In turn, the bio-inspired approach of artificial immune systems is rapidly developing, which has the following advantages: the ability to process a large amount of production data, the ability to process information in parallel, self-training, the presence of memory, and the ability to predict at the class boundaries. Since there are currently no universal artificial intelligence algorithms capable of equally efficient forecasting for various types of production data, it is effective to develop modified algorithms for artificial immune systems. The researches are devoted to the development of a diagnostic system for industrial equipment based on the AMDEC (l'Analyse des Modes de Défaillances, de leurs Effets et de leur Criticité) mode, failure and criticality analysis approach and modified AIS algorithms, using the industrial equipment from Schneider Electric as an example. The AMDEC approach identifies equipment weaknesses and is used to predict potential failures. The disadvantage of this method is its complexity. Extending the AMDEC

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