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Chinese Automation Congress (CAC)

作者： Yang-Yang Chen Hao Sun Tailai Lin Qingling Wang Ya Zhang Junyu Zha Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing P.R. China School of Automation Southeast University Nanjing P.R. China

ISBN: (纸本)9781538635254;9781538635247

This paper addresses a local formation tracking control for multiple first-order agents in 3D space, where each agent's trajectory converges to the given super-ellipsoid and the tracking target is movement with an unknown speed. Differing from the using of GPS in the literature, a new distributed solution is given based on local measurements of relative position. To develop the spherical formation tracking motion into the superellipsoidal case, a general desired distance function of the relative position is introduced to describe the super-ellipsoidal following error and each agent's control input projected onto the superellipsoidal normal vector service to super-ellipsoidal following. At the same time, each agent's control input projected onto the the direction of meridian and parallel are used to accomplish the solid formation along meridian and parallel. Λ consensus-based estimator is given to estimate the moving target's speed according to adaptive design. The validity of the proposed control law is proved through numerical simulations.

关键词： Target tracking Sea measurements Extraterrestrial measurements Topology Three-dimensional displays Oceans

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Neural Adaptive control of Microgrid Frequency Regulation with Wind Power

Neural Adaptive Control of Microgrid Frequency Regulation wi...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Weiqiang Liu Chaoxu Mu Ding Wang Chao Luo Chao Ren Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin China School of Automation Southeast University Nanjing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Electrical Engineering Wuhan University Wuhan China

Due to the uncertainty of power load demand and the stochastic power generation from renewable energy, frequency fluctuation becomes a major concern of power system, especially for a microgrid. In this paper, an improved proportional-integral (PI) controller based on the neural adaptive control method is proposed to deal with the load frequency control (LFC) problem in a microgrid with wind power. The designed neural adaptive control auxiliary controller is used to provide the adaptive supplement control signal to PI controller in a real-time manner. Simulation studies on a benchmark microgrid system are carried out between the proposed compound controller and traditional PI controller. The simulation results demonstrate the proposed method has a superior performance for stabilizing the frequency over the traditional PI control under disturbances from the load change and wind power.

关键词： Adaptive control Microgrids Frequency control Wind turbines Benchmark testing Power system stability

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Finite-time output consensus of second-order multi-agent systems with mismatched disturbances via active anti-disturbance control

Finite-time output consensus of second-order multi-agent sys...

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Asian control Conference

作者： Guipu Li Xiangyu Wang Shihua Li Wei Xing Zheng Xisong Chen School of Automation Southeast University Nanjing PR China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education PR China School of Computing Engineering and Mathematics Western Sydney University Sydney NSW Australia

ISBN: (纸本)9781509015740;9781509015733

This paper studies the finite-time output consensus problem of second-order multi-agent systems with both mismatched disturbances and unknown state elements. This problem is solved by an active anti-disturbance control (AADC) method, which integrates the disturbance estimation/compensation and the baseline consensus protocols based on feedback control together. To estimate the matched/mismatched disturbances and the agents unknown state elements, a finite-time generalized state observer is constructed for each agent. Based on the distributed adding a power integrator feedback control method, and the estimates of the matched/mismatched disturbances and the systems unknown states, AADC consensus protocols are developed for both leaderless and leader-follower cases. The proposed protocols achieve finite-time consensus of the agents outputs in both cases. Simulation results demonstrate the effectiveness of the proposed consensus algorithms.

关键词： Multi-agent systems Output consensus Mismatched disturbances Distributed adding a power integrator method Finite-time generalized state observer

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An effective vehicle logo recognition method for road surveillance images 2

An effective vehicle logo recognition method for road survei...

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2nd IEEE International Conference on Computer and Communications, ICCC 2016

作者： Chen, Cong Lu, Xiaobo Shengqin, Jiang Jiaji, Song 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)9781467390262

In this paper, an improved vehicle logo recognition method is proposed for detecting and recognizing logo in images captured by road surveillance cameras. Firstly, a feature-match based symmetry detection algorithm is adopted for detecting symmetric axis in the image and rotating the image. Then a learning-based License Plate Localization (LPL) approach and a coarse logo location algorithm by using prior knowledge are used to obtain a coarse logo region. Moreover, a new vehicle logo location method based on Gabor Filters is put forward in order to localize the exact region of logo. In addition, two features - Pyramid of Histograms of Orientation Gradients (PHOG) and Multi-scale Block Local Ternary Patterns (MB-LTP) are combined to recognize the vehicle logo. At last, experimental results on a large number of images validate the robustness and efficiency of the proposed algorithm. © 2016 IEEE.

关键词： Gabor filters

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Current control of IPMSM servo system in field-weakening region via DOB-based model predictive control

Current control of IPMSM servo system in field-weakening reg...

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Annual Conference of Industrial Electronics Society

作者： Chao Wu Shihua Li Qi Li Wei Xing Zheng School of Automation Southeast University Nanjing P. R. China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Computing Engineering and Mathematics Western Sydney University Sydney NSW Australia

Current control of IPMSM servo system is investigated in this paper. Under the field-weakening control framework, nonlinear couplings of the voltage equations are very strong. The current control performance may not be well until such nonlinear couplings are well dealed. In this case, a DOB-based model predictive control is proposed to improve the current control performance under field-weakening control framework. The proposed control method consists of a forecasted model based on disturbance observer, feedback correction for model mismatch rejection, and receding optimization for an optimized control input. Numerical simulations demonstrate that proposed method achieves nonlinear coupling attenuation ability and well promising field-weakening control performance.

关键词： Couplings Mathematical model Torque Voltage control Stators Current control

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Synchronization of complex dynamical networks via PI pinning control 35

Synchronization of complex dynamical networks via PI pinning...

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第35届中国控制会议

作者： Zhou Yingjiang Shen Jingjin Jiang Guoping Sun Changyin College of Automation Nanjing University of Posts and Telecommunications Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University School of Automation Southeast University

ISBN: (纸本)9781509009107

This paper studies the protocol of synchronization in complex dynamical networks via pinning control by using a new error variable *** control is used to stable the error system,which can force the complex dynamical networks to reach *** is found that if the disturbances satisfy some conditions,synchronization can be achieved by pinning the least number of *** are finally performed to illustrate the effectiveness of the theoretical results.

关键词： Synchronization complex dynamical networks pinning control PI control

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Weighted Group-Consensus of Multi-Agent systems with Bipartite Topologies 28

Weighted Group-Consensus of Multi-Agent Systems with Biparti...

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第28届中国控制与决策会议

作者： He Ying-gao Wang Xiang-yu Wuxi Institute of Arts & Technology School of Automation Southeast UniversityNanjing 210096China& Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of Education

ISBN: (纸本)9781467397155

This paper studies weighted group-consensus of multi-agent systems with bipartite topologies through adjusting the proportion of the current states and the delay states in the control algorithms.A sufficient condition for the convergence to a weighted group-consensus is proposed by adopting the generalized Nyquist stability criterion and the Gerschgorin disk theorem This condition is able to enlarge the upper bound on the maximum time-delay of weighted *** of the proposed result is demonstrated through numerical simulations.

关键词： Multi-agent systems group-consensus Nyquist criterion Gerschgorin disk theorem

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Ductal carcinoma in situ detection in breast thermography by extreme learning machine and combination of statistical measure and fractal dimension

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Journal of Ambient Intelligence and Humanized Computing 2017年 1-11页

作者： Wang, Shui-Hua Muhammad, Khan Phillips, Preetha Dong, Zhengchao Zhang, Yu-Dong Jiangsu Key Laboratory of Advanced Manufacturing Technology HuaiyinJiangsu223003 China School of Computer Science and Technology Henan Polytechnic University JiaozuoHenan454000 China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China College of Software Convergence Sejong University Seoul Korea Republic of Department of Informatics University of Leicester LeicesterLE1 7RH United Kingdom West Virginia School of Osteopathic Medicine 400 N Lee St LewisburgWV24901 United States Translational Imaging Division and MRI Unit Columbia University and New York State Psychiatric Institute New YorkNY10032 United States

Ductal carcinoma in situ (DCIS) is a severe breast disease. It generates little symptom and may be neglected in prodromal stage. In this study, we developed a novel DCIS detection method based on breast thermography, which can provide earlier alert than other exams. We created a 40 breast-thermogram dataset. We used six statistical measures, and we used fractal dimension to describe the texture measure. The extreme learning machine was used as the classifier. Our developed system yielded a sensitivity of 93.0 ± 2.6%, a specificity of 92.5 ± 2.6%, and an accuracy of 92.8 ± 1.8%. The extreme learning machine was better than support vector machine, artificial neural network, decision tree, and weighted k-nearest neighbors. Besides, our developed system was superior to six state-of-the-art approaches. © 2017 Springer-Verlag GmbH Germany, part of Springer Nature

关键词： Fractal dimension

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Design of Low-cost Position Differential Positioning System Based on STM32

Design of Low-cost Position Differential Positioning System ...

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Chinese Automation Congress

作者： Haijun Fu Ming Qiu Xisong Dong Gang Xiong Haonan Xiong Xiang Su Shichao Chen Zhen Shen Xiujiang Guo School of Artificial Intelligence Beijing Union University Beijing China The Cloud Computing Center Chinese Academy of Sciences Dongguan China The Qingdao Academy of Intelligent Industries Macau University of Science and Technology Qingdao China Beijing Union University Beijing China School of Electrical Engineering and Electronic Information Xihua University Chengdu China The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China The Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Department of Computer Science University of Helsinki Fin Finland Measurement Center Station PetroChina Huabei Oilfield Company Renqiu China

There exist some obstacles to realize high-precision positioning with using the position differential technique due to the limiting factors. However, with the advancement of chip performance and the establishment of multiple satellite navigation systems, position differential positioning can be realized to meet the civilian high-precision positioning demand while significantly reducing costs. This paper is to explore the engineering application and propose a new method. Through the experiments and data analysis, we have found the error correlation between two receivers in a small area and designed a set of positioning system, and programmed in the Keil μVision5 in C language. The system consists of the current mainstream low-cost STM32, UBLOX NEO 6M chip, NRF24L01 chip, GPS antenna and power supply module. Each two receivers can form a differential positioning system. At present, the system in the low-speed status is, in the urban environment, basically reaching within 0.5 - 3 m of the positioning error.

关键词： Position differential positioning Low cost Error correlation GPS STM32

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An adaptive passivity-based controller of a buck-boost converter with a constant power load

arXiv

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arXiv 2017年

作者： He, Wei Ortega, Romeo Machado, Juan E. Li, Shihua Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China Laboratoire des Signaux et Systemes Supelec Plateau du Moulon Gif-sur-Yvette91192 France

This paper addresses the problem of regulating the output voltage of a DC-DC buck-boost converter feeding a constant power load, which is a problem of current practical interest. Designing a stabilising controller is theoretically challenging because its average model is a bilinear second order system that, due to the presence of the constant power load, is non-minimum phase with respect to both states. Moreover, to design a high-performance controller, the knowledge of the extracted load power, which is difficult to measure in industrial applications, is required. In this paper, an adaptive interconnection and damping assignment passivity-based control-that incorporates the immersion and invariance parameter estimator for the load power-is proposed to solve the problem. Some detailed simulations are provided to validate the transient behaviour of the proposed controller and compare it with the performance of a classical PD scheme. Copyright © 2017, The Authors. All rights reserved.

关键词： DC-DC converters

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