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IEEE Annual Conference on Decision and Control

作者： Jiahu Qin Wei Xing Zheng Huijun Gao Qichao Ma University of Science and Technology of China Hefei China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150080 Heilongjiang Province China Department of Automation University of Science and Technology of China Hefei China

ISBN: (纸本)9781467360890

This paper is concerned with the containment control for a group of double-integrator agents with multiple dynamic leaders communicating over heterogeneous networks, i.e., the position and velocity network topologies are modeled by different graphs. Different containment control algorithms are proposed and analyzed for the two cases that the leaders move with the same constant velocity and the same time-varying velocity, respectively. For the former case the sufficient conditions provided for guaranteeing the containment control are structural and thus easy to verify. Though the conditions proposed for the latter case that leaders move with time-varying velocity are algebraic, such algebraic conditions can be satisfied if the position and velocity network topologies among the follower agents are undirected.

关键词： Network topology Eigenvalues and eigenfunctions Educational institutions Symmetric matrices Heuristic algorithms Algorithm design and analysis Vectors

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A heuristic fuzzy algorithm bio-inspired by Evolution Strategies for energy forecasting problems

A heuristic fuzzy algorithm bio-inspired by Evolution Strate...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Vitor N. Coelho Frederico G. Guimarães Agnaldo J. R. Reis Igor M. Coelho Bruno N. Coelho Marcone J. F. Souza Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Departament of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Department of Control Engineering and Automation Universidade Federal de Ouro Preto Ouro Preto MG Brazil Institute of Computing Universidade Federal Fluminense Niteri RJ Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto MG Brazil

Improving the use of energy resources has been a great challenge in the last years. A new complex scenario involving a decentralized bidirectional communication between energy suppliers, distribution system and consumption is nowadays becoming reality. Sometimes cited as the largest and most complex machine ever built, Electric Grids (EG) are been transformed into Smart Grids (SG). Hence, the load forecasting problem has become more difficulty and more autonomous load predictors are needed in this new conjecture. In this paper a novel method, so-called MSES, bio-inspired by Evolution Strategies (ES) combined with Multi-Start (MS) procedure is described. This procedure is mainly based on a self-adaptive algorithm to calibrate the parameters of the fuzzy rules. MSES was implemented in C++ via OptFrame framework. Our main goal is to evaluate the performance of this algorithm in a grid environment. Real data from an electric utility have been used in order to test the proposed methodology. The obtained results are fully described and analyzed.

关键词： Forecasting Vectors Prediction algorithms Predictive models Training Standards Adaptation models

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Investigation of mixture of Gaussians method for background subtraction in traffic surveillance

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International Journal of Reasoning-based Intelligent Systems 2013年第3期5卷 161-168页

作者： Nikolov, Boris Kostov, Nikolay Yordanova, Slava Department of Communication Technologies Faculty of Electronics Technical University of Varna 1 Studentska Str. 9010 Varna Bulgaria Department of Computer Science and Engineering Faculty of Computing and Automation Technical University of Varna 1 Studentska Str. 9010 Varna Bulgaria

Many background subtraction techniques have been developed in the past years to improve the precision of motion detection in video surveillance systems. Separating the moving objects from the background is a goal in every modern video surveillance system. Mixture of Gaussians (MoG) is one of the most complex methods used for motion detection in video sequences. This paper further investigates the MoG method. The algorithm is implemented in MATLAB and a typical traffic video is estimated. The accuracy of the algorithm is measured as a function of each variable parameter. An optimal set of parameters along with a filter are proposed in order to increase the performance. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Motion analysis

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Sampled-data models and zero dynamics for nonlinear systems with relative degree two

Sampled-data models and zero dynamics for nonlinear systems ...

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第25届中国控制与决策会议

作者： Cheng Zeng Shan Liang Yingying Su Yangsheng Li College of Automation Chongqing University Department of Mathematics Guiyang university Key Laboratory of Dependable Service Computing in Cyber Physical SocietyMinistry of Education Chongqing University Department of Electric and Electronic Information Engineering Chongqing University of Science and Technology

ISBN: (纸本)9781467355322

This paper derives a more accurate sampled-data model than the Yuz and Goodwin type model for nonlinear systems in the case of the relative degree two, and analyzes the sampling zero dynamics of the sampled-data model to show a condition which assures the stability of the sampling zero dynamics of the proposed model. It is a nature extension of Ishitobi et al.'s result from a single-input single-output (SISO) nonlinear systems to a multi-input multi-output (MIMO) nonlinear systems.

关键词： nonlinear systems, sampled-data models, zero dynamics, relative degree

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DSP based Fuzzy controller applied to a DC-DC Boost converter

DSP based Fuzzy controller applied to a DC-DC Boost converte...

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IEEE International Symposium on Intelligent Signal Processing

作者： João T. de Carvalho Neto Andrés O. Salazar Fábio M. U. de Araújo Anderson L. de O. Cavalcanti Department of Computing Engineering and Automation Federal University of Rio Grande do Norte Brazil

This paper presents a Fuzzy controller applied to a DC-DC Boost converter in order to minimize the system's power loss effects by adjusting the duty cycle of the converter. The variation in the input voltage and the losses in the electronic components of the converter (load variations) are the main causes of these power losses. The main objective of the controller is to maintain a constant voltage at the load regardless of these losses. The Fuzzy controller was embedded on a Digital Signal Processor in order to have a great reliability and a faster system response. The results show that the Fuzzy control technique can be utilized to minimize the effects of the system's uncertainties and disturbances while keeping the system's output response in its operating point.

关键词： Voltage control Load management Digital signal processing Mathematical model Fuzzy control Inductors Steady-state

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Operating limits of underexcited synchronous generator

Operating limits of underexcited synchronous generator

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International Conference on Power engineering, Energy and Electrical Drives, POWERENG

作者： Zlatko Maljković Ivan Gašparać Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation University of Zagreb Zagreb Croatia

Standard power chart of synchronous generator has its limit defined by practical stability limit and by field current minimum in the underexcitation quadrant. However, during the time, some generators have shown certain sensitivity during the permanent underexcited operation even in the stabile operating area due to local heating of magnetic conductive parts in the end region of the machine. Underexcited operation is usually required in case of raised network voltage while the active power demands are lowered. Precise knowledge of limits of underexcited operation ability enables precise planning of system reactive power trading. Some world experiences and axial magnetic field measurements in the end region of synchronous hydro and turbine generator are presented. Based on mentioned measurements, it is possible to define real power chart which almost always deviates in capacitive operating area compared to manufacturer's diagram.

关键词： Generators Temperature measurement Probes Reactive power Stators Magnetic flux Vectors

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Multimedia stimuli databases usage patterns: a survey report

Multimedia stimuli databases usage patterns: a survey report

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Proceedings of the International Convention MIPRO

作者： M. Horvat S. Popović K. Cosić Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation University of Zagreb Zagreb Croatia

Multimedia documents such as images, sounds or videos can be used to elicit emotional responses in exposed human subjects. These stimuli are stored in affective multimedia databases and successfully used for a wide variety of research in affective computing, human-computer interaction and cognitive sciences. Affective multimedia databases are simple repositories of multimedia documents with annotated high-level semantics and affective content. Although important all affective multimedia databases have numerous deficiencies which impair their applicability. To establish a better understanding of how experts use affective multimedia databases an online survey was conducted into the subject. The survey results are statistically significant and indicate that contemporary databases lack stimuli with rich semantic and emotional content. 73.33% of survey participants find the databases lacking at least some important semantic or emotion content. Most of the participants consider stimuli descriptions to be inadequate. Overall, 1-2h or more than 24h are generally needed to construct a single stimulation sequence. Almost 84% of the survey participants would like to use real-life videos in their research. Experts unequivocally recognize the need for an intelligent stimuli retrieval application that would assist them in experimentation. Almost all experts agree such applications could be useful in their work.

关键词： Multimedia databases Multimedia communication Semantics Educational institutions Software tools Generators

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Steady-State Synchronous Machine Model which Incorporates Saturation and Cross-Magnetization Effects

Steady-State Synchronous Machine Model which Incorporates Sa...

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International Conference on Power engineering, Energy and Electrical Drives

作者： Zlatko Hanic Mario Vrazic Zlatko Maljkovic University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9781467363914

In this paper steady-state synchronous machine model which incorporates magnetic saturation and cross-magnetization is presented. Instead of using synchronous reactances and induced voltage Eo this model uses current dependent flux linkage functions in direct and quadrature axes to model armature reaction. If those functions are modeled as a polynomials of three independent variables which are armature current in direct and quadrature axis and field current, identification of the proposed model's parameters from load operation data becomes a linear problem. Paper also provides a method for calculation arbitrary steady-state load operation point based on the knowledge of the current dependent flux linkage functions. Proposed model, identification and calculation methods are validated and tested on 35 MVA, 10.5 kV, 50 Hz synchronous generator.

关键词： MVA synchronous generator Cross-Magnetization Effects

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Developing an optimized application hosting framework in Clouds

Developing an optimized application hosting framework in Clo...

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作者： Shi, Xuanhua Jiang, Hongbo He, Ligang Jin, Hai Wang, Chonggang Yu, Bo Chen, Xueguang Service Computing Technology and Systems Lab School of Computer Huazhong University of Science and Technology China Department of Electronics and Information Engineering Huazhong University of Science and Technology China Department of Computer Science University of Warwick United Kingdom InterDigital Communications Corp. United States Department of Automation Control and Engineering Huazhong University of Science and Technology China

A Cloud system, which is also often called a data center, may host a large number of application servers (termed as applications for short in this paper) that consume various types of resource, such as CPU, memory, and I/O. In such a scenario, the application placement strategy, which specifies how to host applications across the physical servers in the Cloud, is critical to achieve good system- and/or client-oriented performance. The existing application placement algorithms in literature assume that the consumption of system resources is proportional to the level of workloads submitted to the system. In this paper, we reveal that it may not be the case in some circumstances. Based on this observation, we design and implement an application placement framework, called EAPAC, for Clouds. The developed framework is able to achieve the optimized performance by judiciously allocating to the applications a proper mixture of different types of application request as well as an appropriate number of requests in each type. Further, we investigate the issue of resource conflicts among different applications when there exist concurrent requests in the system. We have conducted extensive experiments to evaluate the performance of the developed framework. The experiment results show that compared with the existing method in literature, EAPAC can improve the performance by 35% in terms of the reply rate. © 2013 Elsevier Inc.

关键词： Application placement Cloud Resource conflicts

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New LS-SVM approximate solutions to ordinary differential equations

New LS-SVM approximate solutions to ordinary differential eq...

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Chinese Control Conference (CCC)

作者： Guoshan Zhang Yiming Wang Shiwei Wang Wanquan Liu School of Electrical Engineering and Automation Tianjin University Tianjin China Department of Computing Curtin University WA Australia

ISBN: (纸本)9789881563835

In this paper a new method is proposed to solve morder linear and one order nonlinear ordinary differential equations (ODEs) based on Least Squares Support Vector Machines (LS-SVMs). At first, an appropriate transition is made from the ODEs to an optimization problem, after which the algorithm solves the optimization problem in the LS-SVM framework. Finally a high-accuracy differentiable approximate solution with simple and fixed structure is presented in closed form. Numerical results demonstrate the efficiency of the proposed method for solving non-stiff and singular ordinary differential equations with initial or boundary conditions.

关键词： Differential equations Electronic mail Least squares approximations Educational institutions Optimization Support vector machines Electrical engineering

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