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Multi-channel quantum parameter estimation

Science China(Information Sciences) 2022年第10期65卷 53-65页

作者： Liying BAO Bo QI Yabo WANG Daoyi DONG Rebing WU Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences University of Chinese Academy of Sciences School of Engineering and Information Technology University of New South Wales Department of Automation Tsinghua University

The aim of quantum metrology is to exploit quantum effects to improve the precision of parameter estimation beyond its classical limit. In this paper, we investigate the quantum parameter estimation problem with multiple channels. It is related but not limited to the following two important and practical quantum metrology problems:(i) Quantum enhanced metrology with control, whose aim is to improve the precision of quantum sensing by utilizing feedback or open-loop control;(ii) Practical quantum metrology where the underlying evolution of quantum probes may change from a unitary dynamics to an open system dynamics,owing to the inevitable decoherence during the quantum sensing operation. For various kinds of quantum multiple channels, the corresponding quantum channel Fisher information is derived. To demonstrate the results, some illustrative examples are given.

关键词： quantum metrology quantum parameter estimation multi-channel quantum Fisher information

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Adaptive Prescribed-Time Neural control of Nonlinear Systems via Dynamic Surface Technique

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第10期5卷 4948-4958页

作者： Wang, Ping Yu, Chengpu Lv, Maolong Zhao, Zilong Beijing Institute of Technology School of Automation Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Air Force Engineering University College of Air Traffic Control and Navigation Xi'an710051 China Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Delft2628 CD Netherlands

The adaptive practical prescribed-time (PPT) neural control is studied for multiinput multioutput (MIMO) nonlinear systems with unknown nonlinear functions and unknown input gain matrices. Unlike existing PPT design schemes based on backstepping, this study proposes a novel PPT control framework using the dynamic surface control (DSC) approach. First, a novel nonlinear filter (NLF) with an adaptive parameter estimator and a piecewise function is constructed to effectively compensate for filter errors and facilitate prescribed-time convergence. Based on this, a unified DSC-based adaptive PPT control algorithm, augmented with a neural networks (NNs) approximator, is developed, where NNs are used to approximate unknown nonlinear system functions. This algorithm not only addresses the inherent computational complexity explosion associated with traditional backstepping methods but also reduces the constraints on filter design parameters compared to the DSC algorithm that relies on linear filters. The simulation showcases the effectiveness and superiority of the devised scheme by employing a two-degree-of-freedom robot manipulator. © 2024 IEEE.

关键词： Flexible manipulators

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PDR Algorithm for Particle Filtering Based on Motion Optimization Models

PDR Algorithm for Particle Filtering Based on Motion Optimiz...

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2023 China automation Congress, CAC 2023

作者： Xu, Wanyong Chen, Guangwu Wang, Siqi Zhou, Xin Yang, Yang LiPeng, Peng Key Laboratory of Traffic Information Engineering and Control in Plateau Lanzhou Jiaotong University LanZhou China Institute of Automation Lanzhou Jiaotong University LanZhou China

ISBN: (纸本)9798350303759

In this paper, for the problem of decreased positioning accuracy of Global Navigation Satellite System (GNSS) in urban environment due to signal occlusion, reflection and other factors, combined with the demand of ordinary pedestrians for high-precision positioning, we propose a Pedestrian Dead Reckoning (PDR) combination positioning technique based on GNSS assistance. The double threshold energy detection method is used to detect the MEMS data after wavelet noise reduction, to realize accurate and efficient pace recognition, so as to improve the PDR positioning accuracy, to establish the observation model with the GNSS information, and to correct the PDR algorithm through the improved particle filtering, which can effectively inhibit the cumulative error caused by the long time working of MEMS and the positioning error caused by the reduced accuracy of GNSS in the complex environment. Experiments are designed to demonstrate the algorithm, and the pace recognition rate reaches more than 99% and the mean square error of the positioning result is 1.2m when tested in the complex test section, indicating that the algorithm can effectively improve the accuracy of positioning. © 2023 IEEE.

关键词： Mean square error

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Acoustic Localization Based on the D-S Evidence Theory for Pressurized Gas Leakage Detection 5

Acoustic Localization Based on the D-S Evidence Theory for P...

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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Wang, Ying-Wang Li, Ji-Gong Yang, Jing Tianjin Key Laboratory of Information Sensing and Intelligent Control China Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin300222 China

ISBN: (纸本)9798350325294

The sound source localization of ultrasonic signals generated by pressurized gas leakage was studied. The TDOA based sound source localization algorithm is always used to locate the leakage source. Since the sensors used to locate the sound source are often far from the sound source, and often only far-field models can be applied to estimate the direction of the sound source relative to the sensors. To determine the location of the sound source, it is necessary to take acoustic measurements at different positions around the sound source, such as by using a mobile robot, and fuse the measurement data. In addition, the estimated directions of the sound source usually contain uncertainties due to the noise during the measurements. To localize the sound source precisely and reliably, the D-S evidence theory was carried out in our research, in which an acoustic mass function was constructed to calculate a spatial distribution of the leakage source's location. The proposed method was verified with experiments in which the sound source was simulated with an ultrasonic transmitter, and a linearly and equidistantly distributed microphone linear array was used to estimate the direction where the ultrasonic wave came from. The experimental results show that the proposed method can be used to localize the sound source and has good accuracy and stability. © 2023 IEEE.

关键词： Uncertainty analysis

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Efficient temporal alignment network for smoke detection

Efficient temporal alignment network for smoke detection

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2023 Jiangsu Annual Conference on automation, JACA 2023

作者： Li, Weitai Lu, Xiaobo Cao, Yichao School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9781839539848

Smoke is a distinctive feature of pre-fire combustion and it is critical to prevent fires by detecting smoke. Previous work has demonstrated that deep learning methods have a wide range of applications in the field of smoke detection. However, existing methods still have some problems, i.e., it is difficult to balance the relationship between accuracy and speed. In order to solve the existing problems, we proposed Efficient Temporal Alignment Network (ETAN) for Video Smoke Detection. Feature Aggregation Module (FAM) was designed to extract the dynamic features between frames, and we proposed Recursive Memory Feature Update (RMFU) module to maintain the features of past frames and fuse the current features to boost detection performance. Finally, experiments demonstrated that the proposed method improved about 3.8 mAP compared with base detector with little increase in the number of parameters, and outperformed all the single-frame detection methods with the same amount of parameters. Compared with video smoke detection methods, the detection achieved close to the same accuracy while 6.1 times faster than multi-frame methods. © The Institution of engineering & Technology 2023.

关键词： Smoke

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Non-Smooth Speed control of Switched Reluctance Motor Based on Generalized Proportional Integral Observer 42

Non-Smooth Speed Control of Switched Reluctance Motor Based ...

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42nd Chinese control Conference, CCC 2023

作者： Yin, Qingzhao Tian, Zheng Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9789887581543

This paper investigates the speed regulation control of switched reluctance motor (SRM) systems. To improve the antidisturbance performance of SRM, a composite non-smooth control strategy is proposed. First, the structure of SRM is analyzed, and a simplified nonlinear model is obtained based on a segmented representation of the varying phase inductance. A virtual control function is introduced to represent the nonlinear part of the torque equation, whose inverse function is cascaded to linearized the nonlinear model. Second, a generalized proportional integral observer (GPIO) is constructed to estimate the lumped disturbance of the system, which is used for feedforward compensation design. Finally, a composite speed controller is designed based on a combination of finite time proportional feedback and feed-forward compensation based on GPIO (FTP+GPIO). The speed error closed-loop system can be regarded as a first-order finite time control system with bounded disturbances. Strict analysis shows that the proposed scheme can improve the anti-disturbance performance of the closed-loop system. The effectiveness of the proposed method is verified by simulation results. Moreover, it is compared with proportional feedback combining feed-forward compensation (P+GPIO) method and proportional integral (PI) control method. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Closed loop systems

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Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments

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Science China(Information Sciences) 2021年第7期64卷 132-147页

作者： Lele XI Zhihong PENG Lei JIAO Ben M.CHEN School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System Peng Cheng Laboratory Department of Mechanical and Automation Engineering The Chinese University of Hong Kong

In this paper, we present a trajectory generation method of a quadrotor, based on the optimal smoothing B-spline, for tracking a moving target with consideration of relative tracking pattern or limited field of view of the onboard sensor in cluttered environments. Compared to existing methods, safe flying zone,vehicle physical limits, and smoothness are fully considered to guarantee flight safety, kinodynamic feasibility, and tracking performance. To tackle the cluttered environments, a parallel particle swarm optimization algorithm is applied to find the feasible waypoints that the generated trajectory should be as close to as possible, with consideration of the target's future state as well as obstacles to trade off the tracking performance and flight safety. Then, a sequential motion planning method, considering the above constraints, is applied and embedded into a cost function for solving the problem of robust tracking trajectory generation for the quadrotor via a convex optimization approach. The feasibility and effectiveness of the proposed method are verified by numerical simulations.

关键词： quadrotor target tracking trajectory generation B-spline convex optimization

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AST: Annulus Swin Transformer For Pedestrians Detection Under Top-view Fisheye Image 12

AST: Annulus Swin Transformer For Pedestrians Detection Unde...

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12th International Conference on Computing and Pattern Recognition, ICCPR 2023

作者： Lu, Cheng Wei, Xuan Lu, Xiaobo School of Software Engineering Southeast University Suzhou China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Suzhou China School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

ISBN: (纸本)9798400707988

Fisheye images have a larger field of view than ordinary perspective cameras and can obtain more scene information. Therefore, object detection based on top-view fisheye images has wide applications in security monitoring, passenger flow perception, and industrial detection fields. However, due to the radial distortion symmetry of fisheye images, most current networks still need to adapt to this radial distortion symmetry. Therefore, we proposed the Annulus Swin Transformer(AST) for top-view fisheye images, which includes Annulus Window (AW) and Annulus Position Coding (APC). Traditional rectangular windows can break the radial distortion symmetry in top-view fisheye images, instead of taking advantage of it to improve the network's perception of distortion. Annulus-Window transforms it into an inner-to-outer annulus window to calculate self-attention, thereby maintaining the distortion symmetry of the fisheye image within each window, allowing the network to perceive better the degree of distortion in the fisheye image and get better detection performance. Due to the varying degree of distortion of images within each annulus, APC introduces an annulus position to work with Annulus window based on the original position encoding, enabling it to contain annulus position information. The experimental results on the dataset SEU-fisheye show that our method improves the neural network's performance markedly. © 2023 ACM.

关键词： Image enhancement

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Overview on Contact Bounce Phenomena of Electromagnetic Type Switch Electrical Apparatus 11th

Overview on Contact Bounce Phenomena of Electromagnetic Type...

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11th Frontier Academic Forum of Electrical engineering, FAFEE 2024

作者： Wang, Zhiyong Zhu, Zhongheng Wang, Xili Zhao, Qi Faculty of Electrical and Control Engineering Liaoning Technical University Huludao125105 China Huludao Jili Industrial Control Automation Technology Co. Ltd. Huludao125001 China Guoneng Nortel Shengli Energy Co. Ltd. Xilingol026000 China

ISBN: (纸本)9789819788156

This article initially presents the working principle of electromagnetic switching devices and the significance of the contact system, distinguishing contact vibration into contact closure bounce and contact release rebound. It emphasizes that these phenomena are crucial factors influencing the lifespan and reliability of electrical devices. Subsequently, through the analysis of domestic and international literature, the paper discusses the academic community's progress in understanding and improving these vibration phenomena. The study shows that closure bounce and release rebound are affected by factors such as structural parameters and the contact engagement method. Notably, scholars have proposed innovative solutions, such as employing the principle of eccentric impact with inclined stationary contacts to suppress closure bounce, and adding limit stop plates between moving and stationary contact leaves to significantly mitigate release rebound, thereby markedly improving the appearance of contact vibration. Finally, the paper summarizes the current state of research on contact vibration in electromagnetic switches, pointing out the deficiencies in existing studies. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Vibration analysis

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A Distributed Cooperative Tracking Algorithm for the Interception of Small Patrol UAVs 42

A Distributed Cooperative Tracking Algorithm for the Interce...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Haorui Liu, Yinghan Zhang, Jiawei Wang, Hui Xu, Hanhui School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China School of Automation Beijing Institute of Technology Beijing100081 China Institute of Navigation and Control Technology Control Department Beijing100089 China

ISBN: (纸本)9789887581543

In this paper, a distributed cooperative tracking algorithm is proposed for the small patrol UA V target tracking problem. By setting up a sensor network to realize the communication between missile clusters, we introduce a weighted information fusion and distribution method for multiple sensor nodes. Meanwhile, a trajectory shaping guidance law is derived for the three-dimensional space maneuver target striking problem. In the scenario of multi-missile UA V target interception, the simulation of multi-missile tracking and the striking process is completed to achieve accurate estimation of target position, velocity, and acceleration. The effectiveness and superiority of this cooperative tracking algorithm are verified through extensive simulations and comparisons. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Sensor nodes

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