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42nd Chinese control Conference, CCC 2023

作者： Yue, Bo Wang, Yanfang Xue, Shibei Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9789887581543

Simulation of open quantum systems is undoubtedly critical to design of quantum devices and applications of quantum technologies since dynamics of open quantum systems cannot be solved analytically in general. However, the dimension of open quantum systems grows exponentially as the number of their subsystems increases or as involving complicated environments, which reduces the computational efficiency of the simulation. In this paper, we boost numerical simulation of master equations of open quantum systems from several aspects with which the total time and the occupied memory in the simulation are significantly reduced without losing precision. Our method can be applied to the simulation of non-Markovian quantum systems described by an augmented system model as well. We conduct numerical experiments on simulation of a non-Markovian spin chain. Compared with the algorithm in a well-known toolbox, QuTiP, our method can take 26.3% time and less memory under fair conditions. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Computational efficiency

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Multi-functional and Practical Adaptive Collision Avoidance Decision-making System for Autonomous Ships 5

Multi-functional and Practical Adaptive Collision Avoidance ...

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5th International Conference on Maritime Autonomous Surface Ships, ICMASS 2023

作者： Zheng, Kang-Jie Zhang, Xin-Yu Liu, Zhen-Sheng Lee, Kwangil Wang, Cheng-Bo Maritime Intelligent Transportation Research Group The School of Navigation Dalian Maritime University of China China Department of Control and Automation Engineering National Korea Maritime and Ocean University Busan Korea Republic of

In the current landscape, autonomous navigation systems face challenges due to incomplete functionality and low integration. They also lack a comprehensive, real-time, and accurate navigation risk assessment, while operating independently from one another. To address these issues, a multi-functional and practical adaptive collision avoidance decision-making system for autonomous ships is developed in this paper. The system primarily relies on the electronic navigational chart (ENC) to effectively display the ship's navigation situation. It establishes a collision avoidance decision-making model centered around the own ship, offering collision risk analysis, avoidance methods, and optimal timing to ensure safe navigation. The system efficiently integrates and processes multimodal maritime data from various devices, utilizing ontology-based approaches for comprehensive navigation situation understanding, which integration provides invaluable support for intelligent decision-making processes. With a user-friendly interface, excellent portability, and cross-platform interoperability, this system has undergone collaborative efforts and joint debugging with China Shipbuilding Navigation Technology Co., Ltd. during the project's first and second phases. Notably, the system has been successfully implemented on the"High-performance Integrated Bridge System" platform of China Shipbuilding Navigation, showcasing its potential for advancement from principle prototype development to actual equipment application. By offering accurate collision avoidance decision support, this system significantly contributes to enhancing the safety of ship navigation. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Ships

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Conditions for Detecting Errors in the Concurrent Checking Circuits by Boolean Complement Method to the Code "2-out of-5"

Conditions for Detecting Errors in the Concurrent Checking C...

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2023 Seminar on Networks, Circuits and Systems, NCS 2023

作者： Efanov, Dmitrii V. Pivovarov, Dmitriy V. Khoroshev, Valerii V. Peter the Great St. Petersburg Polytechnic University Higher School of Transport Institute of Mechanical Engineering Materials and Transport St. Petersburg Russia Emperor Alexander i St. Petersburg State Transport University Department of Automation and Remote Control on Railways St. Petersburg Russia Department of Automation Remote Control and Communication on Railway Transport Moscow Russia

ISBN: (纸本)9798350370386

When synthesizing concurrent error-detection circuit using the signal's Boolean correction method, it is needed to drop the masking of errors at the checker inputs-the system "last watch-dog". This task appears since for the signal's correction from the diagnosis object, the distortion type may change. This causes the codeword of the given code to be set at the checker inputs. The authors consider the finding conditions problem for the undetectable error's absence at the checker inputs when checking calculations by the signal's Boolean correction method using the constant-weight code "2-out-of-5". The checker of this code detects any errors at the inputs, except for those errors that distort the same number of off-bits and on-bits-symmetrical errors. A condition is formulated, following which allows to fix in practice the facts of the symmetrical error's potential formation at the checker inputs and use circuit techniques to parry them. The results obtained by can be generalized to the case of using arbitrary constant-weight code for organizing concurrent error-detection circuit using the signal's Boolean correction method. © 2023 IEEE.

关键词： Digital devices

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Methodology for Detecting Non-Technical Energy Losses Using an Ensemble of Machine Learning Algorithms

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Computer Modeling in engineering & Sciences 2025年第5期143卷 1381-1399页

作者： Irbek Morgoev Roman Klyuev Angelika Morgoeva Department of Computer Modeling and Design Automation Faculty of Information Technology and Electronic EngineeringNorth Caucasian Institute of Mining and Metallurgy(State Technological University)Vladikavkaz362021Russia Department of Automation and Control Moscow Polytechnic UniversityMoscow107023Russia

Non-technical losses(NTL)of electric power are a serious problem for electric distribution *** solution determines the cost,stability,reliability,and quality of the supplied *** widespread use of advanced metering infrastructure(AMI)and Smart Grid allows all participants in the distribution grid to store and track electricity *** the research,a machine learning model is developed that allows analyzing and predicting the probability of NTL for each consumer of the distribution grid based on daily electricity consumption *** model is an ensemble meta-algorithm(stacking)that generalizes the algorithms of random forest,LightGBM,and a homogeneous ensemble of artificial neural *** best accuracy of the proposed meta-algorithm in comparison to basic classifiers is experimentally confirmed on the test *** a model,due to good accuracy indicators(ROC-AUC-0.88),can be used as a methodological basis for a decision support system,the purpose of which is to form a sample of suspected NTL *** use of such a sample will allow the top management of electric distribution companies to increase the efficiency of raids by performers,making them targeted and accurate,which should contribute to the fight against NTL and the sustainable development of the electric power industry.

关键词： Non-technical losses smart grid machine learning electricity theft fraud ensemble algorithm hybrid method forecasting classification supervised learning

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Accelerated Simulation of Non-Markovian Quantum Systems Using Quantum Trajectory 42

Accelerated Simulation of Non-Markovian Quantum Systems Usin...

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42nd Chinese control Conference, CCC 2023

作者： Wang, Yanfang Yue, Bo Xue, Shibei Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9789887581543

Quantum trajectory can be viewed as a numerical simulation method for wavefunctions which consume smaller memories compared to density matrices in master equations. In this paper, we adopt quantum trajectory to simulate the evolution of a non-Markovian quantum system modeled by an augmented system and further use parallel computing to improve efficiency. Compared to the Lindblad master equation solver in QuTiP, it can run more efficiently using less memory. In the example of a 8-spin-chain non-Markovian system, it only takes about 0.57% of the memory footprint and 4.12% of the runtime of the solver for the Lindblad master equation. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Quantum chemistry

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Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 388-399页

作者：刘增敏王申涛姚莉秀蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China JD Business Growth Department Beijing 100176China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

In order to solve the problem of small object size and low detection accuracy under the unmanned aerial vehicle(UAV)platform,the object detection algorithm based on deep aggregation network and high-resolution fusion module is ***,a joint network of object detection and feature extraction is studied to construct a real-time multi-object tracking *** the problem of object association failure caused by UAV movement,image registration is applied to multi-object tracking and a camera motion discrimination model is proposed to improve the speed of the multi-object tracking *** simulation results show that the algorithm proposed in this study can improve the accuracy of multi-object tracking under the UAV platform,and effectively solve the problem of association failure caused by UAV movement.

关键词： moving unmanned aerial vehicle(UAV)platform small object feature extraction image registration multi-object tracking

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Distributed Optimal Output Consensus control of Heterogeneous Multi-Agent Systems with Safety Constraints

arXiv

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arXiv 2024年

作者： Ma, Ji Liang, Shu Hong, Yiguang The Department of Automation Xiamen Xiamen361005 China The Department of Control Science and Engineering Tongji University Shanghai201210 China

In this paper, we develop a novel dynamic distributed optimal safe consensus protocol to achieve simultaneously safety requirements and output optimal consensus. Specifically, we construct a distributed projection optimization algorithm with an expanding constraint set in the decision-making layer, while we propose a reference-tracking safety controller to ensure that each agent’s output remains within a shrinking safety set in the control layer. We also establish the convergence and safety analysis of the closed-loop system using the small-gain theorem and time-varying control barrier function (CBF) theory, respectively. Besides, unlike previous works on distributed optimal consensus, our approach does not require prior knowledge of the cost function the local objective or gradient function and adopts a mild assumption on the dynamics of multiagent systems (MASs) by using the transmission zeros condition. Copyright © 2024, The Authors. All rights reserved.

关键词： Multi agent systems

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Improved Adaptive Variable Impedance control for Contact Force Tracking

Improved Adaptive Variable Impedance Control for Contact For...

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2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Wei, Feili Gu, Chaochen Wu, Kaijie Cheng, Hao Department of Automation Shanghai Jiao Tong University Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350327182

The utilization of impedance control is capable of achieving excellent force tracking performance. However, the balance between stability and flexibility is seldom considered in current methods. To address this issue, a novel adaptive variable impedance controller for contact force tracking is proposed in this study. Lyapunov theory is applied to develop an adaptive adjustment law of damping parameter in impedance control to enhance the robot's adaptability to uncertain environment and dynamic desired force. Additionally, a force compensator is designed based on direct adaptive control to expedite the response of force tracking. What sets this proposed method apart is that it does not require an accurate understanding of environmental parameters. Instead, it dynamically modifies the impedance parameters based on the force error to guarantee the stability and coordination of the system. Simulation results indicate that the proposed controller improves the flexibility and robustness of the force tracking capability of the robot system when compared to existing variable impedance control methods and effectively diminishes force overshoot. © 2023 IEEE.

关键词： Uncertainty analysis

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control and Stability of Large-scale Power System with Highly Distributed Renewable Energy Generation:Viewpoints from Six Aspects

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CSEE Journal of Power and Energy Systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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Sliding Mode control for Recurrent Neural Networks With Time-Varying Delays and Impulsive Effects

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1319-1321页

作者： Lanfeng Hua Kaibo Shi Zheng-Guang Wu Soohee Han Shouming Zhong the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China the School of Electronic Information and Electrical Engineering Chengdu UniversityChengdu 610106China the Institute of Cyber-Systems and Control Zhejiang UniversityHangzhou 310027China the Department of Electrical Engineering and Convergence IT Engineering Pohang University of Science and TechnologyPohang 37673South Korea the School of Mathematics Sciences University of Electronic Science and Technology of ChinaChengdu 611731China

Dear Editor,This letter studies the problem of sliding mode control(SMC)design for recurrent neural networks(RNNs)with impulsive disturbances and time-varying transmission *** this end,an appropriate integral sliding ... 详细信息

关键词： impulsive letter delays

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