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Inverse-system method for identification of damping-rate functions in non-Markovian quantum systems

Physical Review A 2020年第4期102卷 042227-042227页

作者： Shibei Xue Lingyu Tan Rebing Wu Min Jiang Ian R. Petersen Department of Automation Shanghai Jiao Tong University Shanghai 200240 People's Republic of China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 People's Republic of China Department of Automation Tsinghua University Beijing 100084 People's Republic of China Center for Quantum Information Science and Technology TNList Beijing 100084 People's Republic of China School of Electronic and Information Engineering Soochow University Suzhou 215006 People's Republic of China Research School of Electrical Energy and Materials Engineering The Australian National University Canberra 0200 Australia

Identification of complicated quantum environments lies in the core of quantum engineering, which systematically constructs an environment model with the aim of accurate control of quantum systems. In this paper, we present an inverse-system method to identify damping rate functions, which describe non-Markovian environments in time-convolution-less master equations. To access information on the environment, we couple a finite-level quantum system to the environment and measure time traces of local observables of the system. By using sufficient measurement results, an algorithm is designed, which can simultaneously estimate multiple damping rate functions for different dissipative channels. Further, we show that identifiability for the damping rate functions corresponds to the invertibility of the system and a necessary condition for identifiability is also given. The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems.

关键词： Open quantum systems Quantum control

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An inverse-system method for identification of damping rate functions in non-Markovian quantum systems

arXiv

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arXiv 2020年

作者： Xue, Shibei Tan, Lingyu Wu, Rebing Jiang, Min Petersen, Ian R. Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Automation Tsinghua University Beijing100084 China Center for Quantum Information Science and Technology TNList Beijing100084 China School of Electronic and Information Engineering Soochow University Suzhou215006 China Research School of Electrical Energy and Materials Engineering Australian National University Canberra0200 Australia

Identification of complicated quantum environments lies in the core of quantum engineering, which systematically constructs an environment model with the aim of accurate control of quantum systems. In this paper, we present an inverse-system method to identify damping rate functions which describe non-Markovian environments in time-convolution-less master equations. To access information on the environment, we couple a finite-level quantum system to the environment and measure time traces of local observables of the system. By using sufficient measurement results, an algorithm is designed, which can simultaneously estimate multiple damping rate functions for different dissipative channels. Further, we show that identifiability for the damping rate functions corresponds to the invertibility of the system and a necessary condition for identifiability is also given. The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum optics

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Cluster-based Relevance Analysis Between Construction Mode and BCR for Optimizing the DAS

Cluster-based Relevance Analysis Between Construction Mode a...

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Data Driven control and Learning systems (DDCLS)

作者： Jiran Zhu Hua Leng Haiguo Tang Min Fan Yaling Liu Qing Yang College of Electronic and Information Engineering Tongji University Jiading Shanghai China State Grid Corporation of Hunan Electric Power corporation research institute Changsha Hunan China College of Electrical and Information Engineering Hunan University Changsha Hunan China School of Automation Chongqing University Chongqing Key Laboratory of Complex System Safety and Control (Ministry of Education) Chongqing University Chongqing China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

Distribution automation system (DAS) is the key of intelligent power distribution. With the construction and operation of DAS, studying on the optimization of DAS has received much attention from both academia and industry. This study proposed cluster-based relevance analysis between construction mode and benefit-cost ratio (BCR) for optimizing the DAS. This method clusters the DASs of different cities, and analyzes the clustering results. Then, the method analyzes BCR of DAS in different categories and uses comparative analysis, grey relational analysis (GRA) and sensitivity analysis to analyze the relevance between the construction mode and BCR of typical city's DAS and determine the major factors affecting the BCR comprehensively. Finally, it integrates all analysis results to make optimization suggestions for DAS. The case study shows that the method is effective and feasible, which can provide direction and reference basis for the optimization of DAS in cities of different scale.

关键词： Urban areas Principal component analysis Investment Optimization Sensitivity analysis Power distribution automation

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Fault-tolerant control for over-actuated hypersonic reentry vehicle subject to multiple disturbances and actuator faults

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Aerospace Science and Technology 2019年 87卷 230-243页

作者： Yue Yu Honglun Wang Na Li School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China

In this paper, a fault-tolerant control scheme is proposed for attitude tracking problem of hypersonic reentry vehicle subjected to multiple disturbances and time-varying actuator faults. For convenience of fault-tolerant controller design , conventional hypersonic reentry vehicle model is transformed into control-oriented model by incorporating actuator faults into lumped disturbance. Based on the lumped disturbance estimate provided by high order sliding mode observer, fault-tolerant controllers are developed within the frame of active disturbance rejection control in attitude loop and angular rate loop according to time-scale separation and singular perturbation principle. Then, the desired control moment is allocated to actuators based on recurrent neural network . With the well-designed fault-tolerant controllers and control allocation, a novel meta-heuristic dynamic adaptation salp swarm algorithm is employed to optimize control parameters to achieve minimum attitude tracking error. Comparative simulations are conducted to verify the effectiveness of the developed dynamic adaptation salp swarm algorithm and the investigated fault-tolerant control scheme.

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Multi-channel Attention Mechanism Graph Convolutional Network Considering Cumulative Effect and Temporal Causality for Day-ahead Wind Power Prediction

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Energy 2025年

作者： Mao Yang Renxian Jiang Bo Wang Guozhong Fang Yunpeng Jia Fulin Fan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100912 China State Grid Corporation of China Northeast Branch Liaoning 100031 China Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company of State Jilin 130021 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Institute for Energy and Environment University of Strathclyde Glasgow G1 1XW U.K.

Under the current situation where the proportion of wind power generation in the existing energy structure is gradually increasing, accurate short-term power prediction of wind farm cluster (WFC) plays an important auxiliary role in the formulation of regional power generation plans. However, it is difficult to clarify the correlation between wind farms in the power prediction of WFC, which leads to the difficulty of stable and accurate prediction. Therefore, this paper proposes a short-term power prediction method for WFC considering wind power cumulative effect (CE) and temporal causality (TC). Firstly, the two relationships (CE and TC) between wind farms are clarified and used to construct an adjacency matrix separately, then the error characteristics (EC) are used to form an adjacency matrix as well. Secondly, the adjacency matrix information with different attributes is fused by the multi-channel attention mechanism to obtain the wind power prediction results. Finally, the proposed method is applied to three WFCs in China, by which the universality and effectiveness of the method is verified. Compared with the traditional prediction method, its RMSE is reduced by 1.55%, 1% and 3.4% on average.

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A systematic literature review of electricity distribution in smart grid scenarios

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2020年 18卷 122-127页

作者： Ribeiro, F.D. Pinho, A.G. Gomes, R.A. Domingues, E.G. NExT-Nucleus of Experimental and Technological Studies Câmpus Goiânia-Rua 75 n Goiânia Brazil Electrical Engineering/Control and Automation Engineering Program Câmpus Goiânia-Rua 75 n Goiânia Brazil Federal Institute of Education Science and Technology of Goiás Goiânia Câmpus Goiânia-Rua 75 no46-Centro GoiâniaGO74055-110 Brazil

With the massive increase in electricity consumption, technologies that help the production and distribution of this resource became indispensable. In particular, distribution becomes a major challenge when taking into account alternative sources through Distributed Generation. In this view, this paper aims to survey the main contributions related to the application of intelligent solutions in the process of electricity distribution. Through a systematic literature review, a comparative analysis of the most relevant work on the target topic is performed considering the application of Smart Grid principles. The methodology adopted in the literature review and the main results are presented by means of a six group categorization, namely: communication in electrical structures, computational modeling, load control, microgrids, energy storage, and economic viability. © European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Distributed power generation

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Gradient-direction-based Rectangles and Triangles Traffic Signs Detection Algorithm in Natural Scenes*

Gradient-direction-based Rectangles and Triangles Traffic Si...

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Chinese automation Congress (CAC)

作者： YanQiong Jin XuJun Guan Hai Zhang School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China

In this paper, we propose a novel method to detect rectangular and triangular traffic signs in natural scenes according to the geometric features of the rectangle and triangle traffic signs. It is a Gradient-direction-based method that mainly includes four stages: gradient information classification, filter templates-based line segments with different orientation extraction, structural corners detection and rectangle/triangle detection. The extracted corners are categorized into different sets according to the orientation of the line segments, by which we can quickly extract rectangle and triangle traffic signs in image. And the experimental results demonstrate under different conditions are shown that the proposed method can detect rectangular and triangular traffic signs in natural scenes efficiently and robustness.

关键词： Image segmentation Feature extraction Image edge detection Image color analysis Detection algorithms Shape Gray-scale

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Monitoring of Ash Deposition on the Heated Surface of the Economizer of Boiler in Coal-Fired Power Station

Monitoring of Ash Deposition on the Heated Surface of the Ec...

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第30届中国过程控制会议（CPCC 2019）

作者： CAO-Chao CHEN-Xin WANG-Jingcheng SHI-Yuanhao Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University School of Electrical and Control Engineering North University of China

The problem of ash and slagging on the heating surface of coal-fired power station boilers has always existed in the production and operation process of modern coal-fired power *** smog and slagging on the heated surface will not only cause the heat exchange efficiency to deteriorate, but also cause safety accidents such as corrosion of the heated surface and tube *** order to solve this problem, it is necessary to monitor the ash deposition of the boiler heating surface and develop a pollution degree standard for the soot blowing *** paper presents a monitoring model based on the ash deposition of the economizer heating surface of a coal-fired power station *** the boiler of 600 MW generator set of a power plant in Jiaxing, Zhejiang as the research object, the measured data obtained by the on-site DCS, then the wavelet denoising process, and then the thermodynamic formula is used to calculate the ash pollution factor which can characterize the degree of ash deposition on the heated surface of the *** experimental results prove the validity of the above model and have important significance for the later research on intelligent soot blowing operation

关键词： Coal-fired power plant boiler Economizer Ash deposition Monitoring model,Cleanliness factor

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Research on model based design method of permanent magnet synchronous motor servo system based on FPGA

Research on model based design method of permanent magnet sy...

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International Conference on Mechanical, Electric and Industrial engineering, MEIE 2018

作者： Yu, Shimao Zhang, Tao Zhang, Hualiang Zeng, Peng Chen, Xiyou Key Laboratory of Industrial Control Network and System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China School of Electrical Engineering Dalian University of Technology Dalian China

The ac servo system plays an increasingly important role in modern society. The ac servo drive technology based on FPGA becomes important research direction for its advantages of fast processing speed and flexible designing. A permanent magnet synchronous motor servo control system based on FPGA was model-based designed in this paper. It built three-closed-loop servo control model in Simulink which can simulate the performance of the algorithm, and it completed automatic code generation and configuration in Xilinx Zynq-7000. In addition, it built a complete set of permanent magnet synchronous motor servo control hardware platform. This paper proposes an integrated design and simulation method based on FPGA servo control to improve the efficiency of system design. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Distributed Estimation Fusion for Maneuvering Target Based on Consensus Method and Cubature Kalman Filter with Switching Topologies Network

Distributed Estimation Fusion for Maneuvering Target Based o...

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Chinese automation Congress (CAC)

作者： Zheng Zhang Qingdong Li Lu Feng Xiwang Dong Zhang Ren Yue Li School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing P.R. China Beijing Institute of Electronic System Engineering Beijing P.R. China School of Electrical and Information Engineering Shaanxi University of Science and Technology Shaanxi P.R. China

This paper proposes a distributed estimates fusion algorithm for target tracking problem based on consensus method and cubature kalman filter with switching topology network. In order to get the accurate state information of maneuvering target via sensor network, this paper develops filter algorithm by taking the advantage of consensus method and cubature kalman filter. Firstly, each sensor node gets the local estimation by performing cubature kalman filter algorithm. Secondly, we develops a fusion protocol to fuse the estimates from each sensor node in the sensor network based on the consensus method. In this step, the switching topologies of sensor network is considered and the sufficient condition for the algorithm proposed in this paper is given. Besides, this paper analyses the boundedness of the algorithm proposed and gives the detailed proof of convergence. Finally, a simulation example is presented to illustrate the effectiveness of the proposed algorithm.

关键词： Topology Kalman filters Network topology Switches State estimation Nonlinear systems

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