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第三十四届中国控制会议

作者： CHEN Yang-Yang ZHANG Ya WEI Ping School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Department of Electronic Information Engineering Anhui Business College

ISBN: (纸本)9781467374439

This paper deals with the three-dimensional(3D) coordinated control of satellites formation motion along a set of given closed orbits, where each satellite has intrinsic second-order Lipchitz nonlinear dynamics and the commutation topology among satellites is directed. A projection-based orbit extension method is presented by extending our previous concentric compressing method. The control for the orbit-tracking subsystem and the formation motion subsystem are designed respectively at first, and then the overall closed-loop coordinated orbit-following system is regarded as a cascade system. By using tools from Input-toState stability(ISS) theory and the extension of Barbalat's lemma, it is shown the closed-loop coordinated orbit-tracking system is asymptotic stability if the directed communication topology contains a directed spanning tree. The effectiveness of the analytical results is verified by Satellite Tool Kit(STK).

关键词： Directed Coordinated Orbit-Tracking control,Second-Order Lipchitz Nonlinear satellites,Cascade system,Three-Dimensional Space

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Cooperative output regulation for networked multi-agent systems based on the self-tuning adaptive distributed observer

Cooperative output regulation for networked multi-agent syst...

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American control Conference

作者： Yi Dong Jie Chen Jie Huang Department of Automation Nanjing University of Science and Technology China The State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology China Department of Mechanical and Automation Engineering the Chinese University of Hong Kong HK

ISBN: (纸本)9781467386838

In this paper, we first propose a self-tuning adaptive distributed observer for a multi-agent system, which is capable of providing the estimation of the leader's signal to various followers without assuming all the followers know the system matrix of the leader and which avoids calculating the observer gain off-line. We then further develop an adaptive distributed control law to solve the cooperative output regulation problem for linear heterogeneous multi-agent systems. This control law offers two advantages in that it makes the least use of the information of the network and the information of the leader system, and it avoids calculating the observer gain.

关键词： Observers Multi-agent systems Communication networks Closed loop systems Nickel Decentralized control Multi-agent systems Closed loop systems decentralised control networks(communications) Output Regulation Observers Nickel Telecommunications control law Self tuning

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Extended state observer based control for ground-coupled heat pump system 27

Extended state observer based control for ground-coupled hea...

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27th Chinese control and Decision Conference, CCDC 2015

作者： Yu, Zhang Wang, Junxiao Li, Shihua School of Automation Southeast University Nanjing Jiangsu Province China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China

ISBN: (纸本)9781479970179

This paper aims to investigate an extended state observer (ESO) based control approach for the ground-coupled heat pump system (GCHP). As GCHP system has strong disturbances, a feasible approach of disturbance rejection should be proposed necessarily. ESO is employed to estimate the disturbance and compensate it to the controller to eliminate effects of the disturbance. By using ESO-based control and comparing with traditional control method, a better control performance is obtained through simulation verification. © 2015 IEEE.

关键词： disturbance rejection ESO GCHP simulation

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Short-term wind speed forecasting by using model structure selection and manifold algorithm 4

Short-term wind speed forecasting by using model structure s...

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4th International Conference on Information Science and Cloud Computing, ISCC 2015

作者： Shao, Haijian Deng, Xing School of Automation Southeast University Jiangsu Nanjing210096 China Key Laboratory of Measurement and Control for Complex System of Ministry of Education Southeast University Jiangsu Nanjing210096 China

Nonlinear model structure selection (MSS) is an important step in the modeling theory of the nonlinear system. The proper model structure and model parameters estimation can be used to reduce unnecessary computations and improve the model forecast accuracy. This paper mainly investigates the short-term wind speed forecasting (STWSF) by utilizing the comprehensive MSS technique based on real data of the wind speed plant in East China. The MSS and manifold algorithm are respectively used to design proper model structure and reduce the computational complexity to improve the forecasting accuracy and promote the computational efficiency. The experimental evaluation by using support vector regression based on the real data is given to demonstrate the performance of the proposed method. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Forecasting

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Nonlinear time-varying systems identification based on multi-dimensional taylor network and variable forgetting factor recursive least squares algorithm

Nonlinear time-varying systems identification based on multi...

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1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015

作者： Zhang, Jiao-Jun Yan, Hong-Sen School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

A novel method for nonlinear time-varying systems identification based on multi-dimensional Taylor network and variable forgetting factor recursive least squares algorithm is proposed. In this paper, the connection weight coefficients of multi-dimensional Taylor network are regarded as time-varying parameters, which are trained by the variable forgetting factor recursive least squares algorithm, to reflect the input-output change of nonlinear time-varying systems. Simulation results show that the method proposed in this paper is valid.

关键词： Time varying networks

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An automatic landmark localization method for 2D and 3D face 8th

An automatic landmark localization method for 2D and 3D face

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8th International Conference on Image and Graphics, ICIG 2015

作者： Liu, Junquan Da, Feipeng Deng, Xing Yu, Yi Zhang, Pu School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9783319219776

We propose an automatically and accurately facial landmark localization algorithm based on Active Shape Model (ASM) and Gabor Wavelets Transformation (GWT), which can be applied to both 2D and 3D facial data. First, ASM is implemented to acquire landmarks’ coarse areas. Then similarity maps are obtained by calculating the similarity between sets of Gabor jets at initial coarse positions and sets of Gabor bunches modeled by its corresponding manually marked landmarks in the training set. The point with the maximum value in each similarity map is extracted as its final facial landmark location. It is showed in our laboratory databases and FRGC v2.0 that the algorithm could achieve accurate localization of facial landmarks with state-of-the-art accuracy and robustness. © Springer International Publishing Switzerland 2015.

关键词： Metadata

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PID parameters optimization research for hydro turbine governor by an improved fuzzy particle swarm optimization algorithm

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Open Electrical and Electronic engineering Journal 2016年 10卷 101-117页

作者： Chen, Gonggui Yangwei, Du Yanyan, Guo Shanwai, Huang Lilan, Liu Key Laboratory of Industrial Wireless Network and Networked Control of Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Research Center on Complex Power System Analysis and Control Chongqing University of Posts and Telecommunications Chongqing400065 China The Department of Locomotive and Vehicle Engineering Wuhan Railway Vocational College of Technology Wuhan430205 China

Parameter optimization of water turbine regulating system (WTRS) is decisive in providing support for the power quality and stability analysis of power system. In this paper, an improved fuzzy particle swarm optimization (IFPSO) algorithm is proposed and used to solve the optimization problem for WTRS under frequency and load disturbances conditions. The novel algorithm which is based on the standard particle swarm optimization (PSO) algorithm can speed up the convergence speed and improve convergence precision with combination of the fuzzy control thought and the crossover thought in genetic algorithm (GA). The fuzzy control is employed to get better dynamics of balance between global and local search capabilities, and the crossover operator is introduced to enhance the diversity of particles. Two different types of WTRS systems are built and analyzed in the simulation experiments. Furthermore, the sum of regulating time and another number that is the integral of sum for absolute value of system error and the squared governor output signal is considered as the fitness function of this algorithm. The simulation experiments for parameter optimization problem of WTRS system are carried out to confirm the validity and superiority of the proposed IFPSO, as compared to standard PSO, Ziegler Nichols (ZN) algorithm and fuzzy PID algorithm in terms of parameter optimization accuracy and convergence speed. The simulation results reveal that IFPSO significantly improves the dynamic performance of system under all of the running conditions. © Gonggui et al.

关键词： Fuzzy control

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Handwritten character recognition based on weighted integral image and probability model 8th

Handwritten character recognition based on weighted integral...

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8th International Conference on Image and Graphics, ICIG 2015

作者： Wu, Jia Da, Feipeng Wang, Chenxing Gai, Shaoyan College of Automation Southeast University Nanjing Jiangsu210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9783319219622

A system of the off-line handwritten character recognition based on weighted integral image and probability model is built in this paper, which is divided into image preprocessing and character recognition. The objects of recognition are digitals and letters. In the image preprocessing section, an adaptive binarization method based on weighted integral image is proposed, which overcomes the drawbacks in the classic binarization algorithms: noise sensitivity, edge coarseness, artifacts etc.;In the character recognition section, combined with statistical features and structural features, an probability model based on the Bayes classifier and the principle of similar shapes is developed. This method achieves a high recognition rate with rapid processing, strong anti-interference ability and fault tolerance. © Springer International Publishing Switzerland 2015.

关键词： Fault tolerance

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Robust Decentralized control of Interconnected Nonlinear systems Subject to Uncertainties and Disturbances via Generalized Extended State Observers 34

Robust Decentralized Control of Interconnected Nonlinear Sys...

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第三十四届中国控制会议

作者： ZHANG Chuanlin YANG ning HE Shuaipeng JIA Ruting Shanghai Engineering Research Center of Intelligent Management and Control for Power Process College of Automation EngineeringShanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Electrical and Computer Engineering Department California State University

ISBN: (纸本)9789881563897

This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.

关键词： output feedback control global stabilization disturbance rejection control extended state observer

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Reactive power compensation in microgrids via distributed control strategy

Reactive power compensation in microgrids via distributed co...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Hu Hong Zhou Zhi-Wei Liu Zhi-Hong Guan Ming Chi Department of Automation Wuhan University P. R. China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing P. R. China College of Automation Huazhong University of Science and Technology Wuhan P. R. China

ISBN: (纸本)9781467384155

To minimize power losses in microgrids, we concentrate on reactive power compensation by microgenerators connected to microgrid via electronic interfaces. Comparing exits works, not only the constraint of power balance, but also the bounded capacity of microgenerator is taken into account. We propose a distributed algorithm for the reactive power compensation problem with a fully connected communication network, to solve the optimal reactive power compensation problem in microgrids. Case study illustrates the proposed algorithm can effectively solve the reactive power compensation problem.

关键词： Reactive power Microgrids Distributed algorithms Topology Linear programming Algorithm design and analysis Mathematical model

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