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Consensus for networked multi-agent systems with unknown communication delays

Journal of the Franklin Institute 2016年第16期353卷 4176-4190页

作者： Xiaoyu Liu Lihua Dou Jian Sun Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing 100081 PR China School of Automation Beijing Institute of Technology 100081 P.R. China

The problem of consensus for linear discrete-time networked multi-agent systems with directed topologies and communication delays is investigated in this paper. The communication delays are assumed to be constant but unknown. A consensus protocol is designed to compensate for the unknown delays based on the networked predictive control scheme. A sufficient condition for the consensus of multi-agent systems is derived. Finally, a numerical example is given to illustrate that the consensus protocol proposed in this paper is effective.

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Framework Based Universal Simulation For Satellite Project

Framework Based Universal Simulation For Satellite Project

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第35届中国控制会议

作者： Xing Xin Zhen LI Xiangyuan Zeng Xiangdong Liu Zhi Yang Song Xie School of Automation Beijing Institute of Technology Chinese National Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology DFH Satellite co. Ltd

ISBN: (纸本)9781509009107

An integrated simulation system is proposed in the paper,which considers the universal runtime platform environment,the resource management mechanism,and the aerospace oriented model software *** platform is compatible with the HLA protocol and support both synchronous and asynchronous modes for data *** simulation execution is established on the specifically formulated scenarios,which provides flexibilities in customizing the organization of the simulation *** resource framework is designed by combining the characteristics of both aerospace engineering and software engineering,and the modeling objects are expanded from the entities of satellites,sub-systems and equipments,to the non-entity relationships of the system *** the developed model database and management software,the simulation can be applied either in the visible and non-programming way,or in a secondary development way with ***,the proposed system is user-friendly to engineers with various disciplinary backgrounds.

关键词： Universal Simulation simulation platform framework small Satellite model Software

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The Application of Square-Root Cubature Kalman Filter in the SINS/CNS integrated navigation system

The Application of Square-Root Cubature Kalman Filter in the...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Dongyang Zhang Zhihong Deng Bo Wang Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Nanjing University of Science and Technology

ISBN: (纸本)9781467383196

The integrated navigation system can improve the navigation accuracy utilizing the redundant *** Extended Kalman Filter(EKF) is commonly used in the integrated navigation *** usually takes only one-order of Taylor expansion and needs to calculate the Jacobian matrix,which will affect the accuracy and numerical stability of the system *** in this paper the application of Square-Root Cubature Kalman Filter(SCKF) method was proposed to solve the above problems in the SINS/CNS integrated navigation *** simulation results show that the position,velocity and attitude errors are reduced effectively compared with the EKF *** SCKF method is more suitable for the state estimation problems in integrated navigation system.

关键词： The Application of Square-Root Cubature Kalman Filter in the SINS/CNS integrated navigation system Kalman CNS Filter

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Cooperative navigation for multiple autonomous underwater vehicles with time delayed measurements

Cooperative navigation for multiple autonomous underwater ve...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Yuantao Qi Bo Wang Shunting Wang Mengyin Fu School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Nanjing University of Science and Technology

ISBN: (纸本)9781467383196

Dealing with time delayed measurements is a key problem of cooperative navigation for multiple autonomous underwater vehicles(MAUVs).In this work,in order to solve the invalidation of location due to the time delayed measurements,an algorithm which based on the augmented extended Kalman filter(AEKF) is *** algorithm expands the variable dimension of slave AUV according to the time delayed measurements,and infers the fundamental equations of *** to the traditional EKF method,simulation results prove that AEKF has higher positioning accuracy.

关键词： AUV EKF Cooperative navigation for multiple autonomous underwater vehicles with time delayed measurements

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Interval Kalman Filter Based RFID Indoor Positioning

Interval Kalman Filter Based RFID Indoor Positioning

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第28届中国控制与决策会议

作者： Ning Li Hongbin Ma Chenguang Yang School of Automation Beijing Institute of Technology State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Zienkiewicz Centre for Computational Engineering Swansea University

ISBN: (纸本)9781467397155

Radio Frequency Identification(RFID) technology has shown its potential in the field of indoor positioning in recent years,and has been widely used in large establishments such as the airport lobby,supermarkets,libraries,underground parking and so ***,the complexity of the indoor environments make positioning a challenging problem in terms of accuracy,stability,reliability,and interference *** this paper,we develop an algorithm of passive RFID indoor positioning based on interval Kalman filter,according to the geometric constraints of responding tags,combined with the target motion *** interval Kalman filter is adopted to integrate target position of one preceding time point and reference tags position to estimate the current *** of this algorithm is to use passive tags to reduce hardware costs,and on the other hand the introduction of filtering algorithm improves the positioning accuracy.

关键词： RFID Indoor positioning Interval Kalman Filter Interval arithmetic

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Shadow lane robust detection by image signal local reconstruction

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2016年第3期9卷 89-102页

作者： Du, Mingfang Junzheng, Wang Nan, Li Duoyang, Li School of Automation Beijing Union University Beijing China State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Beijing Key Laboratory of Information Service Engineering

In order to resolve shadow interference and slow image processing speed in the visual navigation of unmanned vehicles on city roads, a new lane detection algorithm based on the Inverse Perspective Mapping(IPM) of vertical sub-image reconstruction using local bands was proposed. The lane’s IPM aerial image was obtained using the projective transformation of three-dimensional images of city roads. The ROI portion of the IPM map was decomposed and analyzed using the sym3 wavelet, and after analyzing and comparing the experimental results the first and second levels of the vertical sub images were selected for the reconstruction, compression, and removal of shadows from the original image. The Canny algorithm was proposed and adopted in order to extract the edge features of the reconstructed images according to real-time road image quality. A modified, polar angle, constraint-based, fast Hough transform was used to locate the candidate lanes. Finally, the main control point, straight-line-fitting algorithm was used to fit the final lanes, which achieved the precise location and recognition of the lane lines. The California Polytechnic lane data set, a public data platform, which is now widely used in road visual recognition fields around the world, was selected for the testing and verification of the algorithm. The results of the experiment and actual operation indicated that, despite having a storage space of approximately one tenth the size of similar algorithms, this detection algorithm effectively solves the issue of shadow removal, meets the real-time requirements of roadway image processing systems for unmanned vehicles with a recognition time of less than 20ms, and is robust. © 2016 SERSC.

关键词： Wavelet transforms

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Multi-platform Maneuvering Target Tracking based on BLUE- AIMM- CI Algorithm 34

Multi-platform Maneuvering Target Tracking based on BLUE- AI...

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第三十四届中国控制会议

作者： Wang Mao-zhang BAI Yong-qiang Department of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467374439

With the battlefield environment becomes more complicated nowadays, it's difficult to achieve high precision target tracking only using single platform of target tracking system. Especially for maneuvering targets, the application of interactive multiple model(IMM) algorithm based on a variety model becomes necessary and feasible. At the same time, the best linear unbiased estimate(BLUE) filter is much more appropriate and useful than Kalman filter when it comes to deal with nonlinear system. Most of the time, we are blind to the correlation degree of our target during the merge process of tracking. We can track our target with multi-platform with introduction of Cross-Correlation(CI) fusion algorithm which is based on distributed data and proves its effectiveness by simulation.

关键词： Multi-platform,Maneuvering target tracking,BLUE filter,AIMM,CI fusion

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A Novel Fast Haze Removal Technique for Single Image Using Image Pyramid 34

A Novel Fast Haze Removal Technique for Single Image Using I...

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第三十四届中国控制会议

作者： ZHAO Dong BAI Yong-qiang Department of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781467374439

Fast single image dehazing has been a challenging problem in many fields, such as computer vision and real-time applications. Recently, many dehazing algorithms have been proposed based on the dark channel prior(DCP). However, these algorithms aim to improve the refinement of the raw transmission map, while ignore the computational complexity of DCP ***, this paper proposes a new technique for fast single image haze removal, which achieves a good tradeoff between the dehazing performance and the computational complexity. We first decompose the observed haze image into a coarse image and a detail image using Gaussian-Laplacian pyramid. Then, the coarse image is dehazed by Dark Channel Prior and Guided filter(GDCP). For the size of the coarse image is 1/4 of the original image, the computational complexity is reduced ***, the recomposed image is blurred, since the detail image is still haze. So, we employ an unsharp filter to sharpen the blurred recomposed image. Experimental results show that the proposed dehazing technique effectively removes haze, and significantly reduces the computational complexity by 69.59% on average, compared with traditional GDCP algorithm.

关键词： single image dehazing,image restoration,dark channel prior,image pyramid,unsharp masking

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Riddling: Chimera's dilemma

arXiv

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arXiv 2018年

作者： Santos, V. Szezech, J.D. Batista, A.M. Iarosz, K.C. Baptista, M.S. Ren, H.P. Grebogi, C. Viana, R.L. Caldas, I.L. Maistrenko, Y.L. Kurths, J. Graduate in Science Program State University of Ponta Grossa Ponta Grossa Paraná84030-900 Brazil Department of Mathematics and Statistics State University of Ponta Grossa Ponta Grossa Paraná84030-900 Brazil Potsdam Institute for Climate Impact Research Potsdam Brandenburg14473 Germany Institute of Physics University of São Paulo São Paulo05508-900 Brazil Department of Physics Humboldt University Berlin Brandenburg12489 Germany Institute for Complex Systems and Mathematical Biology SUPA University of Aberdeen Aberdeen ScotlandAB24 3UE United Kingdom Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xian University of Technology Xi'an710048 China Xian Technological University Xi'an710021 China Department of Physics Federal University of Paraná Curitiba Paraná80060-000 Brazil Institute of Mathematics Centre for Medical and Biotechnical Research National Academy of Sciences of Ukraine Tereshchenkivska St. 3 Kyiv01030 Ukraine

We investigate the basin of attraction properties and its boundaries for chimera states in a circulant network of Hénon maps. It is known that coexisting basins of attraction lead to a hysteretic behaviour in the diagrams of the density of states as a function of a varying parameter. Chimera states, for which coherent and incoherent domains occur simultaneously, emerge as a consequence of the coexistence of basin of attractions for each state. Consequently, the distribution of chimera states can remain invariant by a parameter change, as well as it can suffer subtle changes when one of the basins ceases to exist. A similar phenomenon is observed when perturbations are applied in the initial conditions. By means of the uncertainty exponent, we characterise the basin boundaries between the coherent and chimera states, and between the incoherent and chimera states, respectively. This way, we show that the density of chimera states can be not only moderately sensitive but also highly sensitive to initial conditions. This chimera's dilemma is a consequence of the fractal and riddled nature of the basins boundaries. Coupled dynamical systems have been used to describe the behaviour of real complex systems, such as power grids, neuronal networks, economics, and chemical reactions. Furthermore, these systems can exhibit various kinds of interesting nonlinear dynamics, e.g. synchronisation, chaotic oscillations, and chimera states. The chimera state is a spatio-temporal pattern characterised by the coexistence of coherent and incoherent dynamics. It has been observed in a great variety of systems, ranging from theoretical and experimental arrays of oscillators, to in phenomena such as the unihemispheric sleep of cetaceans. We study the chimera state in a circulant network of Hénon maps, seeking to determine how the density of states in the network depends on the system parameters and the initial conditions. We have found that, as expected, the density of states might be inva

关键词： Neurons

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Resident electric vehicles charging optimization strategy in the smart grid 34

Resident electric vehicles charging optimization strategy in...

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34th Chinese control Conference, CCC 2015

作者： Ruiqin, Duan Zhongjing, Ma School of Automation Beijing Institute of Technology National Key Laboratory of Complex System Intelligent Control and Decision Beijing China

ISBN: (纸本)9789881563897

Considering the stochastic nature of electric vehicles (EVs) charging activities, this paper is dedicated to schedule the resident EVs charging load in the smart grid. Three important factors of the EV charging process are taken into account and studied, including the characteristics of EV battery, the start time of EV charging and the initial state-of-charging (SOC) of EV battery. We present a resident EVs charging optimization scheduling strategy to minimize the variation of total power load in the specified time period. And then we propose an approximate evaluation method for the corresponding optimization problem. The simulation results illustrate that the proposed EVs charging scheduling strategy will reduce the total power load curve difference of peak and valley, and the proposed method is very promising to improve the daily load profile of power system. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electric vehicle Optimization scheduling Probability model Smart grid

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