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arXiv 2024年

作者： Gnanapandithan, Amita Qian, Li Lo, Hoi-Kwong Department of Electrical and Computer Engineering University of Toronto Toronto Canada Center for Quantum Information and Quantum Control University of Toronto Toronto Canada Quantum Bridge Technologies Inc. 108 College St. Toronto Canada

Quantum protocols including quantum key distribution and blind quantum computing often require the preparation of quantum states of known dimensions. Here, we show that, rather surprisingly, hidden multi-dimensional modulation is often performed by practical devices. This violates the dimensional assumption in quantum protocols, thus creating side channels and security loopholes. Our work has important impacts on the security of quantum cryptographic protocols. © 2024, CC BY.

关键词： Quantum cryptography

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Guaranteed Conversion From Static Measurements Into Dynamic Ones Based on Manifold Feature Interpolation

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IEEE Transactions on Power Systems 2025年

作者： Mai, Lihao Li, Haoran Weng, Yang Blasch, Erik Zheng, Xiaodong Arizona State University Department of Electrical Computer and Energy Engineering TempeAZ85281 United States MOVEJ Analytics DaytonOH45324 United States Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai200240 China

The increasing penetration of renewable energy sources, coupled with the variability of loads such as Electric Vehicles (EVs), is leading to stability issues in power systems. Addressing this problem requires dynamic measurements. However, there may be a limited number of High-Resolution (HR) meters, such as Phasor Measurement Units (PMUs), especially in distribution grids. In contrast, there are extensive Low-Resolution (LR) meters. With multi-resolution sources, our objective is to develop methodologies for interpolating data. Existing interpolation methods arise from different domains, e.g., optimization, signal analysis, Machine Learning, etc. However, they generally face the following challenges. Firstly, they lack a principled design for complex dynamics. Secondly, they often overlook essential physical aspects and inherent constraints of power systems. Finally, these methods typically neglect uncertainties. To overcome these challenges, we combine Autoencoders (AE) with curvature regularization to propose an optimal design of interpolation first. Then, we integrate physical laws into our analysis using physics-informed neural networks (PINN) and address uncertainties with stochastic physics-informed neural networks (SPINN). Our proposed method is extensively verified within both transmission and distribution grids. © 1969-2012 IEEE.

关键词： Phasor measurement units

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Suppression of Chaotic Behaviors in a Complex Biological System by Disturbance Observer-based Derivative-Integral Terminal Sliding Mode

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 126-135页

作者： Dianwei Qian Hui Ding SukGyu Lee Hyansu Bae School of Control and Computer Engineering North China Electric Power UnverisityBeijing 102206China Department of Anesthesia Shaanxi Provincial People’s HospitalXi’anChina Department of Electrical Engineering Yeungnam UniversityGyeongsanRepublic of Korea

Coronary artery systems are a kind of complex biological systems. Their chaotic phenomena can lead to serious health problems and illness development. From the perspective of engineering, this paper investigates the chaos suppression problem. At first, nonlinear dynamics of coronary artery systems are presented. To suppress the chaotic phenomena, the method of derivative-integral terminal sliding mode control is adopted. Since coronary artery systems suffer from uncertainties, the technique of disturbance observer is taken into consideration. The stability of such a control system that integrates the derivative-integral terminal sliding mode controller and the disturbance observer is proven in the sense of Lyapunov. To verify the feasibility and effectiveness of the proposed strategy, simulation results are illustrated in comparison with a benchmark.

关键词： Biological systems chaos suppression coronary artery nonlinear dynamics sliding mode control(SMC)

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Dissipative State Feedback of General Linear Time-Delay Systems: Applications of the Kronecker-Seuret Decomposition Concept

SSRN

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SSRN 2024年

作者： Feng, Qian Zheng, Wei Xing Wang, Xiao Yu Xiao, Feng School of Control and Computer Engineering North China Electric Power University Beijing China School of Computer Data and Mathematical Sciences Western Sydney University Sydney Australia State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

Stabilizing autonomous linear time delay systems, particularly when addressing an unlimited number of pointwise and distributed delays (DDs) under dissipative constraints, poses a significant challenge. Existing solutions are often hindered by theoretical limitations, numerical obstacles, or an inability to address the complexities of the delay integral kernels. In this paper, we propose a unified framework to tackle the above problem by employing the concept of the Kronecker-Seuret decomposition (KSD) for matrix-valued functions, which we recently have developed for the analysis of complex delay structures in coordination with the Krasovski\u{\i} functional approach. Our strategy can simultaneously address two distinct control problems, where the matrix kernels of DDs can contain an unlimited number of square-integrable functions. We show in detail how the KSD can factorize and approximate different kernel functions simultaneously without introducing conservatism. Furthermore, the use of KSD also enables us to construct complete-type functionals, whose integral kernels can include any number of weakly differentiable and linearly independent functions, underpinned by the utilization of novel integral inequalities derived from the least-squares principle. The solution to each synthesis problem comprises two theorems accompanied by an iterative algorithm, which can be utilized as a single package to compute controller gains, thus eliminating the need for nonlinear solvers. We present the testing results of two challenging examples, which could not be addressed by existing methods, to demonstrate the effectiveness of our methodology. Additionally, the paper reviews recent advancements in the research of time-delay systems, providing a valuable reference for both emerging and established researchers. © 2024, The Authors. All rights reserved.

关键词： State feedback

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Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution 11th

Model-Based Rate-Distortion Optimized Video-Based Point Clou...

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11th International Conference on Image and Graphics, ICIG 2021

作者： Yuan, Hui Hamzaoui, Raouf Neri, Ferrante Yang, Shengxiang School of Engineering and Sustainable Development De Montfort University Leicester United Kingdom School of Control Science and Engineering Shandong University Jinan China School of Computer Science University of Nottingham Nottingham United Kingdom School of Computer Science and Informatics De Montfort University Leicester United Kingdom

ISBN: (纸本)9783030873547

The Moving Picture Experts Group (MPEG) video-based point cloud compression (V-PCC) standard encodes a dynamic point cloud by first converting it into one geometry video and one color video and then using a video coder to compress the two video sequences. We first propose analytical models for the distortion and bitrate of the V-PCC reference software, where the models’ variables are the quantization step sizes used in the encoding of the geometry and color videos. Unlike previous work, our analytical models are functions of the quantization step sizes of all frames in a group of frames. Then, we use our models and an implementation of the differential evolution algorithm to efficiently minimize the distortion subject to a constraint on the bitrate. Experimental results on six dynamic point clouds show that, compared to the state-of-the-art, our method achieves an encoding with a smaller error to the target bitrate (4.65% vs. 11.94% on average) and a slightly lower rate-distortion performance (on average, the increase in Bjøntegaard delta (BD) distortion is 0.27, and the increase in BD rate is 8.40%). © 2021, Springer Nature Switzerland AG.

关键词： Encoding (symbols)

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Quantum algorithm to simulate Lindblad master equations

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Physical Review Research 2025年第2期7卷 023076-023076页

作者： Evan Borras Milad Marvian Center for Quantum Information and Control University of New Mexico Albuquerque New Mexico 87131 USA Department of Physics and Astronomy University of New Mexico Albuquerque New Mexico 87131 USA Department of Electrical & Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA

We present a quantum algorithm for simulating a family of Markovian master equations that can be realized through a probabilistic application of unitary channels and state preparation. Our approach employs a second-order product formula for the Lindblad master equation, achieved by decomposing the dynamics into dissipative and Hamiltonian components and replacing the dissipative segments with randomly compiled, easily implementable elements. The sampling approach eliminates the need for ancillary qubits to simulate the dissipation process and reduces the gate complexity in terms of the number of jump operators. We provide a rigorous performance analysis of the algorithm. We also extend the algorithm to time-dependent Lindblad equations, generalize the family of Markovian master equations it can be applied to, and explore applications beyond the Markovian noise model. A new error bound, in terms of the diamond norm, for second-order product formulas for time-dependent Liouvillians is provided that might be of independent interest.

关键词： Hamiltonians

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Detection method of nickel foam foreign matter based on double-branch lightweight network

Detection method of nickel foam foreign matter based on doub...

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2022 Chinese Automation Congress, CAC 2022

作者： Li, Jianqi Liang, Yincong Liu, Huiting Cao, Binfang Yan, Wei Du, Rui Hunan University of Arts and Sciences Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde China Jishou University College of Information Science and Engineering Changde China Hunan University of Arts and Sciences College of Computer and Electrical Engineering Changde China Xiangtan University College of Automation and Electronic Information Xiangtan China

ISBN: (纸本)9781665465335

Real-time, accurate and rapid detection of defects in nickel foam is a challenging task and plays a crucial role in the quality control of nickel foam production. Currently, research on deep learning-based industrial defect detection usually uses large neural network models to pursue high accuracy, ignoring model complexity and hardware requirements. In order to reduce the application cost, the Detection method of nickel foam foreign matter based on double-branch lightweight network is proposed. First, a lightweight backbone convolutional network is designed to extract features, which reduces computational complexity while effectively extracting features. Then, atrous convolution is used to further optimize the model accuracy, increasing the receptive field of the convolution without losing information, and ensuring the quality of the extracted features. Finally, we use a dual-branch structure for segmentation and classification to dynamically query the detection results of defects. The experimental results on the nickel foam defect dataset show that our model is able to achieve high detection accuracy and single-sheet detection rate, and has strong competitive accuracy and lower detection rate compared with state-of-the-art detectors amount of calculation. © 2022 IEEE.

关键词： Convolution

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Modified Sliding Mode control for Seamless Integration of Pv Energy in Ac Grid

SSRN

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SSRN 2023年

作者： Shaikh, Shoaib Soomar, Arsalan Muhammad Kamran, Muhammad Musznicki, Piotr Hussain Shah, Syed Hadi Department of Electrical Engineering Mehran University of Engineering and Technology Jamshoro Pakistan Faculty of Electrical and Control Engineering Gdansk University of Technology G. Narutowicza St. 11/12 Gdansk80 – 233 Poland Department of Electrical and Computer Engineering Mohammad Ali Jinnah University Karachi Pakistan

Solar energy is a potentially abundant and reliable source of renewable energy. While it can undoubtedly increase grid reliability and efficiency, the inverted voltage generated from PV sources may introduce distortion into the AC grid. The proposed control mechanism, modified sliding mode control (MSCM), can seamlessly integrate the inverter output generated by obtaining DC voltage from the boost converter linked with the PV output. This research confirms the validity of the proposed method by comparing its results with a similar system that is only integrated through filters and with a system with a PI control technique. The proposed control technique proves the effectiveness of seamlessly integrating the Photovoltaic (PV) source into the AC grid. © 2023, The Authors. All rights reserved.

关键词： Sliding mode control

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A Signal Temporal Logic Planner for Ergonomic Human–Robot Collaboration

A Signal Temporal Logic Planner for Ergonomic Human–Robot C...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Giuseppe Silano Amr Afifi Martin Saska Antonio Franchi Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic Robotics and Mechatronics Department Electrical Engineering Mathematics and Computer Science (EEMCS) Faculty University of Twente AE Enschede The Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy LAAS-CNRS Université de Toulouse Toulouse France

This paper proposes a method for designing human-robot collaboration tasks and generating corresponding trajectories. The method uses high-level specifications, expressed as a Signal Temporal Logic (STL) formula, to automatically synthesize task assignments and trajectories. To illustrate the approach, we focus on a specific task: a multi-rotor aerial vehicle performing object handovers in a power line setting. The motion planner considers limitations, such as payload capacity and recharging constraints, while ensuring that the trajectories are feasible. Additionally, the method enables users to specify robot behaviors that take into account human comfort (e.g., ergonomics, preferences) while using high-level goals and constraints. The approach is validated through numerical analyzes in MATLAB and realistic Gazebo simulations using a mock-up scenario.

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Improved Fireworks Optimization Algorithm for Multi-product Human-robot Collaborative Hybrid Disassembly Line Balancing

Improved Fireworks Optimization Algorithm for Multi-product ...

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IEEE International Conference on Human-Machine Systems

作者： Feng Guo Xiwang Guo Jiacun Wang Weitian Wang Jinrui Cao Imane Bigaume Information and Control Engineering Liaoning Petrochemical University Fushun China Computer Science and Software Eng. Monmouth University Wes Long Branch New Jersey USA School of Computing Montclair State University Montclair USA Computer Science Department New Jersey City University Jersey City USA

ISBN: (数字)9798350315790

ISBN: (纸本)9798350315806

In the remanufacturing process, the efficient disassembly of end-of-life (EOL) products assumes paramount significance for recycling endeavors. This work introduces a novel disassembly model aiming at enhancing disassembly efficiency within a hybrid disassembly line through the strengths of humanrobot collaboration. In order to optimize the generation of disassembly sequences, this work proposes an improved fireworks optimization algorithm (IFW) that combines uniform mutation and two-point crossover methods. Afterwards, the model’s validity and algorithmic accuracy are substantiated using the CPLEX solver (a commercial solver). Furthermore, a comparative analysis and evaluation against alternative algorithms, such as salp swarm algorithm (SSA) and whale optimization algorithm (WOA), demonstrate a better stability of the proposed algorithm in the human-robot collaborative hybrid disassembly line balancing problem.

关键词： Accuracy Human-machine systems Collaboration Programming Stability analysis Whale optimization algorithms Recycling

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