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Compensated methods for networked control system with packet drops based on compressed sensing

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Journal of Systems Engineering and Electronics 2021年第6期32卷 1539-1556页

作者： FAN Ruifeng yin xunhe LIU Zhenfei LAM Hak Keung Optoelectronic System Division North China Research Institute of Electro-OpticsChina Electronics Technology Group Corpora-tionBeijing 100015China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Informatics Kings College LondonLondon WC2R 2NDUK

Due to unreliable and bandwidth-limited characteristics of communication link in networked control systems,the realtime compensated methods for single-output systems and multioutput systems are proposed in this paper based on the compressed sensing(CS)theory and sliding window technique,by which the estimates of dropping data packets in the feedback channel are obtained and the performance degradation induced by packet drops is ***,in order to reduce the cumulative error caused by the algorithm,the compensated estimates for single-output systems are corrected via the regularization term;considering the process of single-packet transmission,a new sequential CS framework of sensor data streams is introduced to effectively compensate the dropping packet on single-channel of multi-output systems;in presence of the medium access constraints on multi-channel,the communication sequence for scheduling is coupled to the algorithm and the estimates of the multiple sensors for multi-output systems are obtained via the regularization *** results illustrate that the proposed methods perform well and receive satisfactory performance.

关键词： networked control systems packet drop compensated method compressed sensing(CS)

Design and Optimization of Heat Dissipation and Cooling Device for the Open 3D Printer

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Design and Optimization of Heat Dissipation and Cooling Devi...

The Path Planning Study of Autonomous Greeting Robot based on Ant Colony Algorithm

第32届中国控制与决策会议

作者： Cui Qingquan yin xunhe Ning Jing School of Innovation and entrepreneurship Yunnan Land and Resources Vocational College School of Electronics and Information Engineering Beijing Jiaotong University School of Economics and Management Yunnan Agricultural University

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

The 3D printer is a machine for cumulative manufacturing, which is a digital model file, and three-dimensional objects are made of printing layer adhesive material. At present, the items printed out by a 3D printer will have a higher amount of heat, and taking out the printed items directly will cause burns to their hands. In addition, in the moment of picking up the print, the sudden release of the heat will also cause damage to the print. In the process of printing, the main control board will increase the environment of the printing area because of the working heat and the temperature of the print head, which will seriously affect the printing quality and the service life of the printer. Therefore, the open 3D printer is designed in the paper. The heat dissipation and cooling device of the machine is optimized to reduce the temperature of the main control board, and the extrusion head temperature of the printer reaches the printing working temperature without affecting the surrounding structure. Through the experimental verification and analysis, the effectiveness of the heat dissipation and cooling device of 3D printer designed in this paper is proved, which provides an effective solution for the heat dissipation research of 3D printer.

关键词： 3D printer Heat Dissipation and Cooling Device Main control board Printer extrusion head

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The Path Planning Study of Autonomous Greeting Robot based o...

Robust H∞ Resilient Control of Network-based Control System with Modulation

第32届中国控制与决策会议

作者： Cui Qingquan Ning Jing yin xunhe School of Innovation and entrepreneurship Yunnan Land and Resources Vocational College School of Economics and Management Yunnan Agricultural University Kunming School of Electronics and Information Engineering Beijing Jiaotong University

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

In order to realize the autonomous greeting and greeting of the field guests,the autonomous greeting robot needs to collect and analyze the environmental *** the optimization algorithm,an optimal autonomous moving path from the starting point of greeting to a certain guest is *** this paper,aiming at the autonomous greeting robot,the path planning problem of the autonomous greeting robot based on ant colony algorithm is proposed,and the related design scheme is *** simulation example shows that the greeting robot can visit specific guests in the shortest path and *** can effectively ensure that the robot avoids obstacles and other guests in the process of *** verifies the feasibility and validity of the path planning proposed in this paper,and lays a theoretical foundation for the further application of the autonomous greeting robot in non-specific environment.

关键词： Autonomous Greeting Robot Path planning Ant colony algorithm Environment map Coordinate

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Robust H∞ Resilient Control of Network-based Control System...

基于RTI DDS的数据分发中间件的升级设计

第36届中国控制会议

作者： Shunli Zhao xunhe yin Tianjin Key Laboratory for Control Theory & Applications in Complicated System Tianjin University of Technology School of Electrical and Electronic Engineering Tianjin University of Technology School of Electronic and Information Engineering Beijing Jiaotong University

Network-based control system has been an emerging technology in the control and communication fields in recent *** is a key step to achieve bandpass transmission,especially for the wireless ***,an important component in network-based control system,has the detrimental effect on the system performance in some *** the paper,first,it is shown that the modulation can result in time delay existing not only between sensor and controller,but also between controller and ***,system stability is analysed,and a robust H resilient controller restraining controller gain perturbance is designed based on the LMI ***,a numerical simulation is used to demonstrate the effectiveness of the designed controller.

关键词： Network-based control system modulation Robust H∞ Resilient Control LMI

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北京交通大学学报 2011年第5期35卷 31-37页

作者：张珺尹逊和中国船舶工业集团公司船舶系统工程部北京100036 北京交通大学电子信息工程学院北京100044

描述了以数据为中心的发布/订阅机制(DCPS),分析基于该机制的由国际对象管理组织(OMG)颁布的数据分发服务(DDS)规范.基于这一规范,结合海军某航空管制仿真系统的数据分发中间件的升级需求,选用RTI DDS设计升级方案,并具体实现该方案.经... 详细信息

描述了以数据为中心的发布/订阅机制(DCPS),分析基于该机制的由国际对象管理组织(OMG)颁布的数据分发服务(DDS)规范.基于这一规范,结合海军某航空管制仿真系统的数据分发中间件的升级需求,选用RTI DDS设计升级方案,并具体实现该方案.经过测试验证,所设计的方案满足航空管制仿真系统的需求,具有一定的实用性.

关键词：数据分发服务以数据为中心的发布/订阅服务质量

Classification of epilepsy using computational intelligence techniques

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CAAI Transactions on Intelligence Technology 2016年第2期1卷 137-149页

作者： Khurram I. Qazi H.K. Lam Bo Xiao Gaoxiang Ouyang xunhe yin Department of Informatics King's College London Strand London WC2R 2LS United Kingdom State Key Laboratory of Cognitive Neuroscience and Learning School of Brain and Cognitive Sciences Beijing Normal University No.19 XinJieKoWai St Hai Dian District Beijing 100875 PR China School of Electronic and Information Engineering Beijing Jiaotong University Beijing PR China

This paper deals with a real-life application of epilepsy classification, where three phases of absence seizure, namely pre-seizure, seizure and seizure-free, are classified using real clinical data. Artificial neural network （ANN） and support vector machines （SVMs） combined with su- pervised learning algorithms, and k-means clustering （k-MC） combined with unsupervised techniques are employed to classify the three seizure phases. Different techniques to combine binary SVMs, namely One Vs One （OvO）, One Vs All （OVA） and Binary Decision Tree （BDT）, are employed for multiclass classification. Comparisons are performed with two traditional classification methods, namely, k-Nearest Neighbour （k- NN） and Naive Bayes classifier. It is concluded that SVM-based classifiers outperform the traditional ones in terms of recognition accuracy and robustness property when the original clinical data is distorted with noise. Furthermore, SVM-based classifier with OvO provides the highest recognition accuracy, whereas ANN-based classifier overtakes by demonstrating maximum accuracy in the presence of noise.

关键词： Absence seizure Discrete wavelet transform Epilepsy classification Feature extraction k-means clustering k-nearest neighbours Naive Bayes Neuralnetworks Support vector machines

基于大时滞特性预估补偿的模型辨识及模糊控制方法

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北京交通大学学报 2010年第5期34卷 142-145页

作者：衣法臻尹逊和北京交通大学电子信息工程学院北京100044

对具有大迟延特性的对象采用径向基神经网络辨识其预测控制模型,在不需要知道被控对象的精确物理解析数学模型,也不需要知道对象的脉冲激励响应模型和阶跃激励响应模型的情况下,可以实现对系统响应特性的在线辨识.采用分级模糊建模的思... 详细信息

对具有大迟延特性的对象采用径向基神经网络辨识其预测控制模型,在不需要知道被控对象的精确物理解析数学模型,也不需要知道对象的脉冲激励响应模型和阶跃激励响应模型的情况下,可以实现对系统响应特性的在线辨识.采用分级模糊建模的思想,设计一种分级模糊控制器,可以极大地减小模糊规则基的规模,在分级模糊控制器的设计中,采用共生进化遗传算法对参数寻优,提高了进化速度.仿真试验证明,该方法的效果很好.

关键词：过程控制预测控制模糊控制大时滞控制

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基于状态观测器的网络控制系统的自愈控制

机械工程学报 2023年第18期59卷 95-110页

作者：王忻尹逊和梁华清陈丽红北京交通大学电子信息工程学院北京100044 北京交通大学威海校区实验中心威海264400 中国机械工程学会北京100048

提出基于状态观测器的自愈控制方法。为了对网络控制系统中发生的执行器故障/传感器故障进行检测和诊断,改进基于状态观测器的故障诊断方法,该方法利用Lyapunov稳定性理论和线性矩阵不等式法获得观测增益矩阵和故障估计增益参数;同时,... 详细信息

提出基于状态观测器的自愈控制方法。为了对网络控制系统中发生的执行器故障/传感器故障进行检测和诊断,改进基于状态观测器的故障诊断方法,该方法利用Lyapunov稳定性理论和线性矩阵不等式法获得观测增益矩阵和故障估计增益参数;同时,为了改善执行器故障估计过程中的延时的问题,设计执行器故障估计辅助信号。其次,为了提高故障检测的实时性,改进故障检测策略;通过对执行器故障估计和传感器故障估计的试验数据的分析,设计最优故障定位方法,解决对网络控制系统中的故障进行快速定位的问题。再次,为了降低故障对网络控制系统性能的影响,设计故障诊断与基于控制律重构相结合的自愈控制方法。最后,在搭建的网络控制系统中对提出的自愈控制方法进行仿真验证。

关键词：自愈控制网络控制系统执行器故障传感器故障故障诊断

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网络控制系统的变采样周期调度算法

北京交通大学学报 2010年第5期34卷 135-141页

作者：尹逊和李斌宋永端张红北京交通大学电子信息工程学院北京100044 北京市市政专业设计院有限责任公司北京100037

综合考虑网络控制系统的误差、误差变化率、网络利用率及采样周期对系统性能的影响,设计了一种基于模糊反馈的变采样周期调度算法.该算法由网络利用率预测和采样周期调节两部分组成:网络利用率预测部分根据当前网络运行状况预测新的网... 详细信息

综合考虑网络控制系统的误差、误差变化率、网络利用率及采样周期对系统性能的影响,设计了一种基于模糊反馈的变采样周期调度算法.该算法由网络利用率预测和采样周期调节两部分组成:网络利用率预测部分根据当前网络运行状况预测新的网络利用率;采样周期调节部分包含网络利用率分配和采样周期的计算.采样周期调节部分的网络利用率分配,用于重新分配各控制回路的网络利用率,分配时考虑系统各回路的误差和误差变化率,利用模糊控制理论调整各回路对网络的需求程度,完成分配;而采样周期计算是根据所得的网络利用率及数据的传输时间,动态调节系统各回路的采样周期.最后,结合EDF调度算法利用TrueTime工具箱对所研究的调度算法进行了仿真,结果表明采用本文所研究的变采样周期调度算法的控制系统性能要优于采用固定采样周期调度算法的控制系统性能.

关键词：网络控制系统采样周期模糊控制调度网络利用率