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第37届中国控制会议

作者： Baohua Lu Liping Yan Hongxue Chen Yuanqing Xia Mengyin Fu Bo Xiao Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

In practical problems, the dynamic systems are usually nonlinear. In this case, the traditional Kalman filter cannot be used for state estimation or fault detection. The two typical extension based on Kalman filtering framework is the Extended Kalman Filter(EKF) and the Unscented Kalman Filter(UKF). Theoretically speaking, UKF is better than EKF when estimation accuracy is concerned, especially for high degree nonlinear cases. This paper is concerned with the state estimation and fault detection problem for a class of nonlinear dynamic systems. A novel fault detection and analyse method is presented based on the period residual of EKF and UKF. For different kind of faults, mainly, the system parameter error, the sensor/data error, EKF and UKF are used, and the estimation and fault detection effects are compared and analyzed.

关键词： nonlinear system state estimation fault detection parameter error sensor error

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Postmastectomy radiotherapy in breast reconstruction:Current controversies and trends

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Cancer Innovation 2024年第1期3卷 113-123页

作者： Honghong Zhang Dandan Song Liangxi Xie Ning Zhan Wenjia Xie Jianming Zhang Department of Radiation Oncology Xiang'an Hospital of Xiamen UniversityCancer Research CenterSchool of MedicineXiamen UniversityXiang'anXiamenFujianChina Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Quanzhou Institute of Equipment ManufacturingHaixi InstitutesChinese Academy of SciencesQuanzhouFujianChina

Breast cancer is the most common cancer among women *** radiotherapy(PMRT)is an essential component of combined therapy for early-stage,high-risk breast *** reconstruction(BR)is often considered for patients with breast cancer who have undergone *** has been a considerable amount of discussion about the optimal approach to combining PMRT with BR in the treatment of breast *** may increase the risk of complications and prevent good aesthetic results after BR,while BR may increase the complexity of PMRT and the radiation dose to surrounding normal *** purpose of this review is to give a broad overview and summary of the current controversies and trends in PMRT and BR in the context of the most recent literature available.

关键词： breast reconstruction postmastectomy radiotherapy radiotherapy techniques

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Multi-UAV 3D Path Planning in Simultaneous Attack

Multi-UAV 3D Path Planning in Simultaneous Attack

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International Conference on control and Automation (ICCA)

作者： Chuyi Xiong Bin Xin Miao Guo Yulong Ding Hao Zhang School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

As the key technology of UAV mission planning, path planning has a very important impact on the combat effectiveness of UAV. In order to destroy enemy units, multiple UAVs are often needed to attack the target at the same time. In the complex combat environment, the path planning of multiple UAVs is a very complex problem. On the basis of genetic algorithm, this paper designs a path planning algorithm to ensure that multiple UAVs arrive at the same time from different angles on the premise of satisfying environment constraints and the motion constraints of UAV. The algorithm uses the method of regionalization to initialize the path, designs a reasonable fitness function, and adds an adaptive disturbance operator to plan the path of each UAV. Finally, the length difference between the paths planned for each UAV is taken as the path evaluation factor. Some of the paths are replanned to achieve the goal of the same path length and simultaneous attack by UAV. The effectiveness of the algorithm is verified by experiments in typical combat scenarios, and the superiority of the adaptive disturbance operator in the optimization of the algorithm is verified by the contrast experiment.

关键词： Path planning Radar Planning Optimization Radar detection Genetic algorithms Three-dimensional displays

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Research on an axial-axial flux compound-structure PMSM with varying air gap to fulfill field-weakening control

Research on an axial-axial flux compound-structure PMSM with...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Jing Zhao Yashuang Yan Zhongxin Gu Zhen Chen Ping Zheng Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology Beijing China Department of Electrical Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781479951635

A compound-structure permanent-magnet synchronous machine (CS-PMSM), which integrates two PMSMs, is a hybrid electric vehicle (HEV) power train concept. In order to meet the requirement of wide speed range of HEV, an axialaxial flux CS-PMSM with a new mechanical method of varying air gap to fulfill field-weakening control and to improve the operating speed range is investigated. The field-weakening principle of the axial-axial flux CS-PMSM with varying air gap is analyzed. The electromagnetic performances with air gaps varying are evaluated by 3D finite-element method (FEM). The principle of selecting original air gap is proposed with comprehensive consideration. The field weakening capability by varying air gap is evaluated based on the comparison with two other electric methods.

关键词： Air gaps Couplings Torque Stators Magnetic flux Hybrid electric vehicles Rotors

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An image mosaicing approach for video sequences based on space-time manifolds

An image mosaicing approach for video sequences based on spa...

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作者： Zou, Li-Hui Chen, Jie Zhang, Juan Dou, Li-Hua School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9787894631046

In order to utilize the repetitive information among the video sequence more reasonably, this paper proposes an image mosaicing approach based on space-time manifolds for the video sequence taking the properties of high-overlapped ratio between neighbor frames and multiple frames into account. Firstly, we iterate Lucas-Kanade optical flow under Gaussian pyramid strategy to compute the motion parameters between neighbor frames with higher accuracy and align the sequence, in the meantime, eliminate the brightness difference among the neighbors combining with the result of motion computation, and then stitch together the whole sequence whose brightness is already uniform into a high resolution image using the space-time manifolds mosaicing technique. It was verified by the experiment that the proposed approach was very effective to video sequences and the mosaicing result was nice.

关键词： Optical flows

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Convolutional Neural Network Features Comparison Between Back-Propagation and Extreme Learning Machine

Convolutional Neural Network Features Comparison Between Bac...

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Chinese control Conference

作者： Atmane Khellal Hongbin Ma Qing Fei School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

Recently deep learning based architectures have been widely deployed in many problems of artificial intelligence. Among deep learning models, Convolutional Neural Networks (CNN) have been reported in numerous successful applications such as object recognition, and natural language processing. The convolutional neural networks are trained by back-propagating the classification error using the Back-Propagation (BP) algorithm, which requires a large amount of data and slows the training process. To overcome these difficulties, a new fast and accurate approach based on Extreme Learning Machine (ELM) to train any convolutional neural network has been proposed. The developed framework (ELM-CNN) is based on the concept of auto-encoding to learn the convolutional filters with biases, by reconstructing the normalized input and the intercept term. In this paper, systematic comparison with traditional back-propagation based training method (BP-CNN) has been made with respect to two aspects qualitative and quantitative. The experimental results on the popular MNIST dataset show that the ELM-CNN algorithm achieves competitive results in terms of generalization performance and up to 16 times faster than the back-propagation based training of CNN.

关键词： Training Convolutional neural networks Feature extraction Computer architecture Convolution Machine learning Encoding

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Analysis of LoRa for Electronic Shelf Labels Based on Distributed Machine Learning

Analysis of LoRa for Electronic Shelf Labels Based on Distri...

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Chinese control Conference (CCC)

作者： Malak Abid Ali Khan Hongbin Ma Ying Jin Jingxiang Ma Zia Ur Rehman Mizanur Rahman School of Automation Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

Deforestation is the primary source of global warming; traditional shelf labels use paper to display the price of the products, and human forces play a pivotal role in updating the tags where the pandemic has strictly limited its power. Various technologies provide connectivity and a fast-updating system to eliminate the paper-based approach. LoRa is one of the contenders to design the system for electronic shelf labels (ESLs). In this paper, LoRa has been used to minify data losses and guarantee the successful decoding of the carrier signals. The data parallelism at the network server (NS) is used to distribute the data packets among the gateways (GWs) for concurrent transmissions to the end devices (EDs). The EDs are placed in different ranges using machine clustering to avoid intra-SF interference and collision. The data rate (DR) and spreading factors (SFs) have been proposed to improve the performance of pure and slotted ALOHA for the properly allocated tags. The orthogonality principles follow industrial, scientific, and medical regulations (ISM) to avoid data traffic congestion. GWs under different duty cycles (DC) and bandwidth (BW) are examined to minify the network saturation and reduce the energy harvesting of the tags.

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The Fusion of Multisensor Images with Multi-resolutions

The Fusion of Multisensor Images with Multi-resolutions

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第三十三届中国控制会议

作者： Liping Yan Bo Xiao Yuanqing Xia Meiling Wang Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781479947249

Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented algorithm is shown by comparing it with the wavelet based method through experiments, where four performance measures are used. The performance evaluation indices are the root mean square errors(RMSE), the information entropy(Entropy), the space frequency(SF) and the space visibility(SV). Theretical analysis and experimental results show the effectiveness of the presented algorithm.

关键词： Image fusion,multiresolution,multiscale Kalman filter,state space model

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Analysis of OODA Loop based on Adversarial for complex Game Environments

arXiv

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arXiv 2022年

作者： Lu, Xiangri Ma, Hongbin Wang, Zhanqing State Key Laboratory of Intelligent Decision Control for Complex Systems Beijing Institute of Technology Beijing China Automated Institute Beijing Institute of Technology Beijing China

To address the problem of imperfect confrontation strategy caused by the lack of information of game environment in the simulation of non-complete information dynamic countermeasure modeling for intelligent game, the hierarchical analysis game strategy of confrontation model based on OODA ring (Observation, Orientation, decision, Action) theory is proposed. At the same time, taking into account the trend of unmanned future warfare, NetLogo software simulation is used to construct a dynamic derivation of the confrontation between two tanks. In the validation process, the OODA loop theory is used to describe the operation process of the complex system between red and blue sides, and the four-step cycle of observation, judgment, decision and execution is carried out according to the number of armor of both sides, and then the OODA loop system adjusts the judgment and decision time coefficients for the next confrontation cycle according to the results of the first cycle. Compared with traditional simulation methods that consider objective factors such as loss rate and support rate, the OODA-loop-based hierarchical game analysis can analyze the confrontation situation more comprehensively. © 2022, CC BY.

关键词： decision theory

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Multirate Multisensor Distributed Data Fusion Algorithm for State Estimation with Cross-Correlated Noises

Multirate Multisensor Distributed Data Fusion Algorithm for ...

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第三十二届中国控制会议

作者： Yulei Liu Liping Yan Yuanqing Xia Mengyin Fu Bo Xiao School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781479900305

This paper is concerned with the optimal state estimation problem under linear dynamic systems when the sampling rates of different sensors are *** simplicity,we consider two sensors where one's sampling rate is three times as much as the other'*** noises of different sensors are cross-correlated and are also coupled with the system noise of the previous step. By use of the projection theorem and induction hypothesis repeatedly,a distributed fusion estimation algorithm is *** algorithm is proven to be distributed optimal in the sense of Linear Minimum Mean Square Error(LMMSE) and can effectively reduces the oscillation existed in the sequential ***,a numerical example is shown to illustrate the effectiveness of the proposed algorithm.

关键词： State estimation Distributed data fusion Cross-correlated noises Multirate

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