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Chinese control Conference

作者： Guangjun Wang Yutao Cheng Shaohui Yang School of Automatic China University of Geosciences Wuhan Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems State Grid Puyang Electric Power Supply Company

A single satellite navigation system can get high accuracy in general environment, but when the ground satellite navigation receiver is in complex environment, single system navigation often results in poor location results due to the visible satellite less than four. If multiple constellation fusion navigation is used, the number of visible satellites can be increased, thus improving the positioning results. However, the use of all visible satellites in location calculation will bring a huge amount of calculation, which seriously affects the real-time performance of navigation and positioning. Therefore, a reasonable selection of star selection method is urgently needed in the integrated navigation system. Based on the two performance indexes of balanced geometric accuracy factor (GDOP) and star selection efficiency, fast star selection algorithm based on equivalent distance error is proposed in this paper. The experimental results show that the method can effectively improve the efficiency of multi constellation star selection of the premise of high precision.

关键词： Satellites Satellite navigation systems Receivers Extraterrestrial measurements Measurement uncertainty Clocks Space vehicles

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Hexagon-Shaped Screw Recognition and Positioning System Based on Binocular Vision

Hexagon-Shaped Screw Recognition and Positioning System Base...

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Chinese control Conference (CCC)

作者： Fang Wang Xin Chen Chang Tan Jinbin Li Yaodong Zhang Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems State Grid Hubei Electric Power Research Institute Wuhan P. R. China

Traditional artificial live work asks for a high standard with operator's mental state and technical level in high-voltage and strong-magnetic environment, which not only reduces the efficiency of modern production and living but also causes potential threats to the safety of operators. Therefore, developing robot live work has great significance for both academic research and industrial applications. A key problem of the live work for an industrial robot is recognition and positioning of the hexagon-shaped screw in substation with high accuracy. To solve this problem, this article designs a hexagon-shaped screw recognition and positioning system based on binocular vision in transformer substation. A method for stereo matching including 3 steps is proposed: edge noise of the target is reduced by median filter at the beginning; then the target can be obtained through the image segmentation method of adjusting threshold; further moments are used to express the centers of hexagons in 2 images which work as stereo matching points. Finally depth information can be obtained due to visual geometric relationships based on stereo model and camera calibration parameters based on camera model. The experiment results show that the binocular system designed in this article can accurately identify the target with good stability, and the measurement error is controlled in 4%.

关键词： Cameras Fasteners Calibration Image segmentation Mathematical model

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Stability analysis of switched nonlinear delay systems with sampled-data inputs

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International Journal of Robust and Nonlinear control 2019年第14期29卷

作者： Zhichuang Wang Jian Sun Guoliang Chen Jie Chen School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

This study addresses the uniformly globally asymptotically stability (UGAS) problem of switched nonlinear delay systems (SNDSs) with sampled-data inputs (SDIs). By using multiple Lyapunov functionals (MLFs) method, mode-dependent average dwell times, and the total activating time length of MLFs, some stability criteria are explicitly obtained for SNDSs with SDIs. Meanwhile, the UGAS property for SNDSs with some or all unstable modes is investigated. For unstable modes and stable modes, we adopt different switching signals. Besides, we establish some sufficient stability conditions in the form of an upper bound on the sum of dwell times and sampling intervals. Simulation examples are adopted to illustrate and verify the effectiveness of our proposed methods.

关键词： multiple Lyapunov functionals sampled-data inputs stability switched nonlinear delay systems

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A Novel design Method of Digital Phase-locked Loop Applied to Three-phase Rectifier 36

A Novel Design Method of Digital Phase-locked Loop Applied t...

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第36届中国控制会议

作者： Qingyi Wang Xuefen Wang Min Ding Quan Yin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Huazhong University of science and technology

ISBN: (纸本)9781538629185

The performance of phase-locked loop(PLL) severely affects the system's stability in a three-phase *** methods tend to adopt the idea of single synchronous coordinate transformation,which implements the phase synchronization through controlling the q-axis voltage to zero.A novel three-phase PLL is proposed in this paper based on this *** order to obtain better convergence rate near zero,the input of closed-loop PLL is replaced by the ratio of q-axis voltage and d-axis *** fastness and convergence of the system are further analyzed in *** and experiment results show that proposed method can lead to better rapidity,and the phase-locked process is superior to traditional digital PLL methods.

关键词： Rectifier Software Phase-locked Loop Convergence Rate Root Locus

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A survey of generative adversarial networks

A survey of generative adversarial networks

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Chinese Automation Congress

作者： Kongtao Zhu Xiwei Liu Hongxue Yang Beijing Polytechnic College of Telecom. Eng. Beijing China The State Key Laboratory of Management and Control for Complex Systems Qingdao Academy of Intelligent Industries Qingdao Beijing China

Generative adversarial networks (GANs) coming from the game theory allow machines to learn deep representations without extra training data. By training two adversarial networks, including a generator and a discriminator, GANs could get the distribution of the real samples. This capability makes it a prospect learning method in image synthesis, image recognition, image translation etc. In this paper, we survey the state of the art of GANs by categorizing the GANs into four classifications on the basis of GANs' functions and list two application domains: vision computing & natural language processing (NLP) regarding to GANs' applications.

关键词： Generative adversarial networks Vision computing Natural language processing (NLP)

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DC Motor Speed control Based on System Identification and PID Auto Tuning 36

DC Motor Speed Control Based on System Identification and PI...

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第36届中国控制会议

作者： Wei-Jie Tang Zhen-Tao Liu Qian Wang School of Industrial Automation Beijing Institute of Technology School of Automation China University of Geosciences Hubei key Laboratory of Advanced control and Intelligent Automation for Complex Systems

ISBN: (纸本)9781538629185

Speed control mode of a DC motor without knowing the specific parameters of the motor is *** approximate mathematical model of the control system is obtained by the system identification when the output of the system is measured by loading the specific input *** PID control algorithm is adopted and the P,I,and D parameters are obtained by auto *** in the loop（HIL） experiments are carried out on MATLAB and Arduino platform,in which the experimental results demonstrate the feasibility of the proposal.

关键词： DC motor System Identification PID control HIL Experiment Automatic Code Generation

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Research on Information Structure of Programmatic Advertising Markets

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IFAC-PapersOnLine 2017年第1期50卷 13587-13592页

作者： Li, Juanjuan Yuan, Yong Zhao, Xueliang Wang, Fei-Yue The State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Beijing Qingdao China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

With the abundance of online big data and computing resources, as well as the rapid develop-ment and diversification of business models, programmatic advertising (PA) has emerged and become the mainstream and one of the most promising advertising channels in recent years. As an effective way to precision marketing, PA relies heavily on the information elicited from analyzing Web users and pages, which can help advertisers precisely identify their best-matched audiences and evaluate the ad impressions in a real-time fashion In PA markets, publishers serve as the supplier of ad impressions, and have control on whether, what and how to reveal such key information to advertisers. These decisions play a central role in the information structure of data-driven PA markets, and attract intensive research interests. In this paper, we strive to investigate publishers’ rational preference over the symmetric and asymmetric information structures, with the aim of maximizing their revenues. Our model views publishers’ revenue as a function of the information structure among advertisers, and we hereby proved its convexity under an incentive compatible mechanism. This conclusion indicates that publishers prefer an asymmetric information structure rather than a symmetric one. Our research findings can help improve publishers’ revenue, and also can explain the underlying rationale for the hybrid PA markets mixed by public real-time bidding and private marketplaces. © 2017

关键词： Commerce Big data Marketing Advertising markets Asymmetric information Computing resource Incentive compatible mechanisms Information structures Precision marketings private marketplace Real time biddings

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UKF based Fault Detection and State Estimation for Nonlinear systems with Correlated Noise 36

UKF based Fault Detection and State Estimation for Nonlinear...

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第36届中国控制会议

作者： Hongxue Chen Liping Yan Yuanqing Xia Mengyin Fu Bo Xiao Guangzheng Hu Huifang Li Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781538629185

State estimation and fault diagnosis are essential topics for dynamic *** Kalman fllter（UKF） has been widely applied in nonlinear *** classical UKF algorithm is built on the premise that process noise and measurement noise is *** practical problems,this assumption is not always *** addition,due to the limitation of communication and sensor fault,etc.,data missing or unreliable measurements will happen ***,it is very important to study the state estimation of nonlinear systems with unreliable measurements and correlated *** this paper,an UKF based state estimation algorithm with unreliable observations under correlated noise is presented.A numerical example is given to show the feasibility and effectiveness of the presented algorithm.

关键词： fault detection state estimation correlated noise nonlinear system

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Efficient Deployment of Patrols to Catch Arsonists

Efficient Deployment of Patrols to Catch Arsonists

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Chinese Automation Congress (CAC)

作者： Jinpeng Han Fei-Yue Wang Yisheng Lv Fenghua Zhu Yilun Lin Xingyuan Dai Li Li School of Software Engineering Xian Jiaotong University Xian China The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing Qingdao Academy of Intelligent Industries Qingdao Shandong The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Science Beijing China Department of Automation Tsinghua University Beijing China

Forest fires are serious disasters that endanger the safety and property of residents. To deal with the arson-caused forest fires, we use security game theory to generate optimal patrol strategy under limited patrolling resources. The existing security game algorithms focus on a single behavior model to prevent attacks, while our work is to incorporate the secondary damage caused by the attack behavior into the optimization object. For forest fires, the security game algorithm only expects to catch arsonists in the forest, which is unreasonable in our opinion. Our algorithm incorporates the spread of fires into patrolling path planning so that defenders avoid being swallowed by fire via capturing the spread of it.

关键词： Games Forestry Security Game theory Mathematical model Automation control systems

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Set-Membership Filtering for Uncertain systems with Censored Measurements under Weighted Try-Once-Discard Protocol

Set-Membership Filtering for Uncertain Systems with Censored...

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第37届中国控制会议

作者： Xuerong Li Hongli Dong Fei Han Qinjiang Sun Jiahui Li Institute of Complex Systems and Advanced Control Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University Tianjin Branch China National Offshore Oil Corporation Company Limited

In this paper, the set-membership filtering problem is investigated for a class of time-varying uncertain systems with censored measurements under Weighted Try-Once-Discard（WTOD） protocol. The system uncertainties are formulated by the norm-bounded conditions. The well-known Tobit Type I model is employed to formulate the censored measurements, which is caused by occlusion region, limit-of-detection or sensor faults. An indicator variable is introduced to obtain a unified form in order to address the censored nonlinearity. The WTOD protocol is designed to prevent data conflicts, under which only one node is allowed to transmit data at each instant. Via the mathematical induction, the existence condition of the set-membership filter is derived in terms of a set of recursive linear matrix inequalities, which can guarantee that the filtering error dynamics satisfies the given ellipsoid constraint. Then, the parameters of the filter can be obtained by using the convex optimization method, and the corresponding ellipsoid parameters are optimized. Finally, a simulation example is given to illustrate the effectiveness of the proposed methods.

关键词： Set-membership Filtering Weighted Try-Once-Discard Protocol Uncertain systems Censored Measurements

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