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The Forecasting Research on the Model of the Hysteresis Brake based on Elman Multi-Hidden Layers Neural Network Algorithm with the Speed and Directional Factor 35

The Forecasting Research on the Model of the Hysteresis Brak...

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第35届中国控制会议

作者： ZHANG Bo SHEN Wei WANG Junzheng Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

Hysteresis brake,which provides for step-less torque and high speed,is a stable and reliable device used for loading,but with some problems,such as the large time-lag,strong nonlinearity,and difficulty in modeling et *** to the above-mentioned issues,the special working conditions of hysteresis brake developed by our project team and the advantage of the dynamical performance of the Elman Multi-Hidden Layers Neural Network,this paper employs modified neural network algorithm with Elman dynamic recursive structure to accomplish the model of hysteresis brake,and guarantees the accuracy of output loaded *** this algorithm,we introduce the speed,the given and desired torque,and a directivity factor respectively as a disturbance variable and two input vectors of the system,and then train the model and *** numerical results validate the effectiveness of the algorithm proposed.

关键词： Hysteresis brake strong nonlinearity neural network algorithm with Elman dynamic recursive structure

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Multi-sensor optimal distributed weighted Kalman filter fusion over unreliable networks 35

Multi-sensor optimal distributed weighted Kalman filter fusi...

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第35届中国控制会议

作者： XING Zirui XIA Yuqing Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

This paper presents the problem of optimal distributed weighted Kalman filter fusion for a class of multi-sensor unreliable networked systems with uncorrelated *** distributed multi-sensor data fusion system suffers measurements delay or loss due to unreliability of networked systems with uncorrelated *** the addressed model,an optimal local Kalman filter with a finite buffer is derived for each subsystem,which can also be used as a centralized optimal Kalman filter fusion *** on the new optimal local Kalman filter,multi-sensor optimal distributed weighted Kalman filter fusion with finite buffers has been ***,compared with the centralized optimal Kalman filter fusion algorithm,the proposed distributed weighted Kalman filter fusion algorithm developed in this paper has stronger fault-tolerance *** results are provided to illustrate the effectiveness of the proposed approaches.

关键词： Multi-sensor unreliable networked systems Distributed weighted Kalman filter fusion Network delay Buffers

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Pursuit-evasion Games of Multi-players with a Single Faster Player 35

Pursuit-evasion Games of Multi-players with a Single Faster ...

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第35届中国控制会议

作者： WANG Duo PENG Zhihong School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology

ISBN: (纸本)9781509009107

In this paper we formulate and solve a pursuit-evasion game in which a single faster player chases several evaders with the same properties. We analyze the optimal motion strategies of the both sides by using the theory of differential games, which helps simplify computation complexity and meet an ideal result. We discuss the situation of one faster pursuer and one evader under some basic assumptions in which the amount of evaders increases by steps in the full visibility case. We apply the task allocation method to simulate the optimal motion track in both fixed sequence capture mode and free sequence capture mode of the pursuer. The optimal motion strategies acquired by differential games theory respond faster than those acquired in traditional ways. We prove all the chase process discussed with differential games by MATLAB simulation.

关键词： differential games pursuit-evasion game optimal strategy capture sequence

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Load Curve Modeling Based on Behavior Analysis of Distributed Power Customers

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IOP Conference Series: Materials Science and Engineering 2019年第1期486卷

作者： Xinyang Han Yu Zhang Yuqiao Jiao Yue Zhang Yanjing Qu Min Ding State Grid Energy Research Institute Beijing 102200 P. R. China 027-8883018 School of Automation China University of Geosciences Wuhan 430074 P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan 430074 P. R. China State Grid Shanghai Municipal Electric Power Company Shanghai 200122 P. R. China

As renewable power generation directly affects the customers' traditional electricity behavior and then offsets the power load, this paper proposes a load curve modeling method for renewable power customers based on the behavior analysis. Firstly, customers' active behavior is represented by the quantity of active customer households. Based on the analysis of customer behaviors, a modeling method for the quantity of active customer households is proposed based on Markov Chain Monte Carlo method. Then, with the inputs as the quantity of active customer households and time of photovoltaic power generation, an inference model based on fuzzy logic is proposed to get the quantity of customer household starting electrical appliances. By combing the average usage time of electrical appliances, load characteristics are analyzed based on usage state of electrical appliance of distributed power customers. Finally, the simulation results verify the effectiveness of the proposed method.

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Inside Cover: A novel in vivo Cerenkov luminescence image-guided surgery on primary and metastatic colorectal cancer (J. Biophotonics 3/2020)

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Journal of Biophotonics 2020年第3期13卷

作者： Zeyu Zhang Yawei Qu Yu Cao Xiaojing Shi Hongbo Guo Xiaojun Zhang Sheng Zheng Haifeng Liu Zhenhua Hu Jie Tian Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education School of Life Science and Technology Xidian University Xi'an China CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Gastroenterology the Third Medical Centre Chinese PLA General Hospital Beijing China Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Anorectal the Third medical Centre Chinese PLA General Hospital Beijing China University of Chinese Academy of Sciences Beijing China School of Information Sciences and Technology Northwest University Xi'an China Department of Nuclear Medicine Chinese PLA General Hospital Beijing China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine Beihang University Beijing China

This study presents a novel intraoperative in vivo imaging approach which harnessed Cerenkov luminescence (CL) to detect primary and metastatic colorectal cancer (CRC) using clinically approved radiopharmaceuticals. In the mice and swine experiments, the proposed approach effectively improved the effect of CRC surgery. The approach is believed to be promising for utilizing CL in open surgery. Further details can be found in the article by Zeyu Zhang, Yawei Qu, Yu Cao et al. ( e201960152 )

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Heterogeneous Network Integration Based on Protocol Conversion 35

Heterogeneous Network Integration Based on Protocol Conversi...

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第35届中国控制会议

作者： CHEN Huijuan School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems

ISBN: (纸本)9781509009107

It is a tendency for Internet of Things to research Zigbee-WiFi hybrid *** paper introduces a heterogeneous network integration module based on protocol conversion which can integrate 802.15.4 network with 802.11 b *** heterogeneous network integration module resolves mismatch problems on physical layer,MAC layer and address mapping,meanwhile it makes a contrast with existing Zigbee-WiFi gateway and found to be advanced and effective in three performance indexes:network connection speed,SINR(signal interference noise ratio) and network *** design and realization of heterogeneous network integration are based on QualNet simulation software.

关键词： 802154,80211b heterogeneous network integration protocol conversion

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Energy Consumption Analysis in Multi-legged Robots Based on Gait Planning 35

Energy Consumption Analysis in Multi-legged Robots Based on ...

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第35届中国控制会议

作者： DU Xiaolong WANG Shoukun ZONG Xiaoyan WANG Junzheng State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781509009107

Currently,the multi-legged robots have to confront the problem of low energy utilization that restricts the moving radius of *** at the problem of energy consumption for mobile robots,this paper provides the analysis in terms of the gait ***,two kinds of gait curves respectively,cycloid curve and Bezier curve are introduced and the main difference of two gait patterns is that the Bezier curve can achieve the swing leg retraction(SLR).The length of step(S),the height of step(H) and the duty ratio of gait cycle(P) are set as the primary research points about the gait of mobile *** this work,we formulate two indexes to quantitatively describe the performance of the quadruped robot and related simulations are carried out for gait ***,the results provide some recommendations for the gait planning of the quadruped robot,that is,the changes of gait parameters influence the index of energy consumption and SLR can effectively reduce energy consumption.

关键词： Energy consumption Multi-legged robot Gait planning SLR Gait parameters

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A survey on the security of cyber-physical systems

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control Theory and Technology 2016年第1期14卷 2-10页

作者： Guangyu WU Jian SUN Jie CHEN School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

Cyber-physical systems （CPSs） are integrations of computation, communication, control and physical processes. Typical examples where CPSs are deployed include smart grids, civil infrastructure, medical devices and manufacturing. Security is one of the most important issues that should be investigated in CPSs and hence has received much attention in recent years. This paper surveys recent results in this area and mainly focusses on three important categories： attack detection, attack design and secure estimation and control. We also discuss several future research directions including risk assessment, modeling of attacks and attacks design, counter-attack strategy and testbed and validation.

关键词： Security cyber-physical systems attack detection secure estimation and control

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Switching control System Based on Robust Model Reference Adaptive control

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Journal of systems Science & complexity 2016年第4期29卷 897-932页

作者： HU Qiong FEI Qing MA Hongbin WU Qinghe GENG Qingbo School of Automation Beijing Institute of Technology Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

For conventional adaptive control, time-varying parametric uncertainty and unmodeled dynamics are ticklish problems, which will lead to undesirable performance or even instability and nonrobust behavior, respectively. In this study, a class of discrete-time switched systems with unmodeled dynamics is taken into consideration. Moreover, nonlinear systems are here supposed to be approximated with the class of switched systems considered in this paper, and thereby switching control design is investigated for both switched systems and nonlinear systems to assure stability and performance. For robustness against unmodeled dynamics and uncertainty, robust model reference adaptive control(RMRAC) law is developed as the basis of controller design for each individual subsystem in the switched systems or nonlinear systems. Meanwhile, two different switching laws are presented for switched systems and nonlinear systems, respectively. Thereby, the authors incorporate the corresponding switching law into the RMRAC law to construct two schemes of switching control respectively for the two kinds of controlled systems. Both closed-loop analyses and simulation examples are provided to illustrate the validity of the two proposed switching control schemes. Furthermore, as to the proposed scheme for nonlinear systems, its potential for practical application is demonstrated through simulations of longitudinal control for F-16 aircraft.

关键词： Longitudinal control of F-16 aircraft switching control switching law. nonlinear systems RMRAC switched systems

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A weighted-resampling based transfer learning algorithm

A weighted-resampling based transfer learning algorithm

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International Joint Conference on Neural Networks (IJCNN)

作者： Xiaobo Liu Zhentao Liu Guangjun Wang Zhihua Cai Harry Zhang School of Automation China University of Geosciences Wuhan China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Computer Science China University of Geosciences Wuhan China Faculty of Computer Science University of New Brunswick NB Canada

ISBN: (纸本)9781509061839

Transfer learning has attracted more and more attention, and many scholars proposed some useful strategies. Boosting is the main strategy for transfer learning. In boosting, resampling is preferred over reweighting, and it can be applied to any base learner. In this paper, we propose a weighted-resampling method for transfer learning, called TrResampling. Firstly, resampling is applied to the data with heaven weight in the source domain, and the resampled data is used with the target data as the training data to build a classifier. Then the TrAdaBoost algorithm is used to adjust the weights of source data and target data. We discuss Decision Tree, Naive Bayes, and SVM as the base learner in TrResampling, and choose the suitable for TrResampling. In order to illustrate the performance of the proposed algorithm, we compare TrResampling with the state-of-the-art algorithm TrAdaBoost and the base learner Decision Tree, experimental results on UCI data sets indicate that TrResampling is superior to TrAdaBoost and Decision Tree on many data sets.

关键词： Training data Boosting Machine learning algorithms Support vector machines Decision trees Training Electronic mail

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