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6th International Conference on Machine Vision, ICMV 2013

作者： Li, Qiaozhe Qiao, Yu Yang, Jie Bai, Li Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China School of Computer Science University of Nottingham Nottingham United Kingdom

ISBN: (纸本)9780819499967

In this paper, we propose a robust visual tracking algorithm based on online learning of a joint sparse dictionary. The joint sparse dictionary consists of positive and negative sub-dictionaries, which model foreground and background objects respectively. An online dictionary learning method is developed to update the joint sparse dictionary by selecting both positive and negative bases from bags of positive and negative image patches/templates during tracking. A linear classifier is trained with sparse coefficients of image patches in the current frame, which are calculated using the joint sparse dictionary. This classifier is then used to locate the target in the next frame. Experimental results show that our tracking method is robust against object variation, occlusion and illumination change. © 2013 SPIE.

关键词： E-learning

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Wind farm power optimum dispatching strategy for variable-speed wind turbine based on rotating energy storage

Wind farm power optimum dispatching strategy for variable-sp...

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2nd IET Renewable Power Generation Conference, RPG 2013

作者： Xiao, Yunqi Lv, Yuegang He, Guanju Liu, Juncheng Wang, Kunpeng School of Control and Computer Engineering North China Electric Power University Changping District Beijing 102206 China Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Changping District Beijing 102206 China

ISBN: (纸本)9781849197588

When wind farm accepts grid scheduling, target load needs to dispatch to each wind turbine to complete. In order to improve the power control capability of the wind farm in the case of random wind fluctuations, a wind farm power control strategy, based on wind wheel rotation energy storage of variable speed wind turbine, is proposed. Firstly, a wind turbine energy storage assessment model is established, and an energy storage state evaluation method, which considers the balance of wind turbine rotational energy and regulating ability, is proposed. Based on this, a mathematical model of wind farm energy storage optimum is pretended, and a solving strategy based on genetic algorithm is designed, too. Finally, the platform for the implementation of the proposed control strategy is introduced. The control strategy proposed in this paper can effectively enhance the ability of the wind turbines' power control and reduce the impact of the uncertainty wind speed to the power response of the wind farm.

关键词： Genetic algorithms

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Design MIMO control systems with Non-Gaussian delays and noises

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ICIC Express Letters 2013年第2期7卷 417-422页

作者： Zhang, Jianhua Ren, Mifeng Hou, Guolian Yu, Mei School of Control and Computer Engineering No. 2 Beinong Road Huilongguan Changping District Beijing 102206 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University No. 2 Beinong Road Huilongguan Changping District Beijing 102206 China

A novel control algorithm for multi-input-multi-output (MIMO) dynamic stochastic systems is developed. The system is expressed by a nonlinear ARMAX model with non-Gaussian noises and random delays. An improved minimum error entropy (MEE) criterion, instead of conventional mean square error, is used to design the adaptive controller. In order to obtain the performance index of the closed-loop control system, the probability density functions (PDFs) of tracking error are estimated by Modha's density estimator, which is implemented by a multi-layer perceptron (MLP). The convergence condition of the proposed control algorithm is analyzed. Finally, a simulation example is given to illustrate the efficiency and feasibility of the proposed approach. © 2013 ISSN 1881-803X.

关键词： Closed loop control systems

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Mining effective multi-segment sliding window for pathogen incidence rate prediction

Mining effective multi-segment sliding window for pathogen i...

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作者： Duan, Lei Tang, Changjie Li, Xiaosong Dong, Guozhu Wang, Xianming Zuo, Jie Jiang, Min Li, Zhongqi Zhang, Yongqing School of Computer Science Sichuan University Chengdu 610065 China West China School of Public Health Sichuan University Chengdu 610041 China Department of Computer Science and Engineering Wright State University Dayton 45435 United States National Key Laboratory of Air Traffic Control Automation System Technology Chengdu 610065 China

Pathogen incidence rate prediction, which can be considered as time series modeling, is an important task for infectious disease incidence rate prediction and for public health. This paper investigates the application of a genetic computation technique, namely GEP, for pathogen incidence rate prediction. To overcome the shortcomings of traditional sliding windows in GEP-based time series modeling, the paper introduces the problem of mining effective sliding window, for discovering optimal sliding windows for building accurate prediction models. To utilize the periodical characteristic of pathogen incidence rates, a multi-segment sliding window consisting of several segments from different periodical intervals is proposed and used. Since the number of such candidate windows is still very large, a heuristic method is designed for enumerating the candidate effective multi-segment sliding windows. Moreover, methods to find the optimal sliding window and then produce a mathematical model based on that window are proposed. A performance study on real-world datasets shows that the techniques are effective and efficient for pathogen incidence rate prediction. © 2013 Elsevier B.V. All rights reserved.

关键词： Data mining

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Model predictive control for large-scale urban traffic networks with a multi-level hierarchy

Model predictive control for large-scale urban traffic netwo...

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International Conference on Intelligent Transportation

作者： Shu Lin Taiyu Ling Yugeng Xi School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Department of Automation Key Laboratory of System Control and Information Processing Shanghai China

ISBN: (纸本)9781479929153

The control and management problem for large-scale complex urban traffic network is not yet successfully addressed. There are still many difficulties in controlling such large systems, e.g. complexity, high dimension, multiple control objectives, and uncertainties. In the paper, a multi-level MPC hierarchy is proposed to address these difficulties for the control of large-scale urban traffic networks. Under the control hierarchy, a multi-level MPC algorithm is proposed, which includes three levels, the demand balance MPC, the subnetwork MPC, and the intersection controller from top to bottom. A case study is carried out to evaluate the proposed algorithm. The simulation results illustrate the effectiveness of the multi-level controller.

关键词： Vehicles Optimization Roads Mathematical model Algorithm design and analysis Timing Analytical models

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Modelling and Simulation of Switched Reluctance Motor Based on Comsol

Modelling and Simulation of Switched Reluctance Motor Based ...

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International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Umar Sholahuddin Agus Purwadi Nana Heryana Hilwadi Hindersyah Electric Energy Conversion Research Laboratory Bandung Institute of Technology Bandung Indonesia Control and Computer System Laboratory Bandung Institute of Technology Bandung Indonesia

Switched reluctance motor (SRM) drives have gained many attentions from researcher which will be used for automotive applications that needs high speed, wider range of constant power capability, ruggedness, and fault tolerance. This paper focuses on modelling and simulation of switched reluctance motor (SRM) based on COMSOL software, two dimensional finite element models of SRM were developed and established. The results show that the models established, are propitious to the accurate analysis of switched reluctance motor torque and flux. SRM 6/4 configuration was selected due to its simple structure and low cost of electronics required for the controller. The model developed will be used to design and build an EV SRM for prototype testing.

关键词： Artificial intelligence

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On variation of infinite horizon performance of model predictive control with varying receding horizon

On variation of infinite horizon performance of model predic...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Cai, Xin Li, Shaoyuan Li, Ning Li, Kang Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai 200240 China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast Belfast BT7 1NN United Kingdom

ISBN: (纸本)9783902823458

This paper investigates variation of infinite horizon (IH) performance of Model Predictive control (MPC) without constraints as the optimization horizon changes. By exploring properties of the Difference Riccati Equations (DRE), an upper bound and a lower bound of the ratio between variation of IH performance of MPC and finite horizon (FH) optimal cost are obtained. The result shows the dynamic behavior of IH performance of closed-loop MPC systems as the optimization horizon varies. Copyright © 2013 IFAC.

关键词： Model predictive control

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Multi spatio-temporal co-occurrence measures for human action classification 13th

Multi spatio-temporal co-occurrence measures for human actio...

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13th IAPR International Conference on Machine Vision Applications, MVA 2013

作者： Md Sabri, A.Q. Boonaert, J. Lecoeuche, S. Mouaddib, E. Mines Douai Computer Science and Automatic Control Research Unit 764 Boulevard Lahure Douai France Universite de Picardie Jules Verne Modeling Info rmation and System Laboratory Faculty of Science 33 rue Saint Leu Amiens Cedex 180039 France

ISBN: (纸本)9784901122139

This paper deals with human action classification by utilizing spatio-temporal (ST) co-occurrences between labels of video-words that are stored within ST correlo-grams. Mutual information based clustering method is employed to reduce the size of the vocabulary created from local descriptors. Multiple characterizations for human actions in videos are extracted from the correl-ograms that are used for human action classification. These include a highly discriminative co-occurrence vector and a Haralick texture vector. The proposed method is implemented using a SVM classification technique. For evaluation purposes, the KTH and UCF Sports action recognition datasets, are used as they are the most well known and challenging datasets. The proposed method succeed in classifying different action classes, and improves the classification rate obtained by standard bag-of-video-words approach. © 2013;MVA Organization. All rights reserved.

关键词： Textures

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Full-State Feedback Linearization and Backstepping control of Nonlinear Markovian Jump systems

Full-State Feedback Linearization and Backstepping Control o...

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第三十二届中国控制会议

作者： Zhongwei Lin Jizhen Liu Yuguang Niu Wei Wang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power University

ISBN: (纸本)9781479900305

This paper investigates the full-state feedback lineaxization and backstepping control design problems for a class of nonlinear Markovian jump *** to the proposed relative degree set definition,the system can be transformed into the canonical form through the appropriate coordinate changes following with the Markovian switchings,i.e.,the system can be full-state feedback linearized in every jnmp mode with respect to the relative degree set {n,...,n}.Then,a stabilizing control is designed through applying the backstepping technique,which guarantees the asymptotically stability of nonlinear Markovian jump systems.

关键词： Markovian jump system Nonlinear system Stabilization Backstepping control

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Sensor data quality assessment for building simulation model calibration based on automatic differentiation

Sensor data quality assessment for building simulation model...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Li, Sisi Song, Zhen Zhou, Mengchu Lu, Yan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Automation and Control Siemens Corporation Corporate Technology Princeton NJ 08540 United States

ISBN: (纸本)9781479915156

Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone to fail, even if the calibration algorithm is appropriate. In this paper, we propose a Fisher-information-matrix (FIM)-based metric to examine the sensor data measurements and how their quality is related to the model calibration quality. It aims to provide quantitative guidance in the calibration cycle of a whole building model that takes as many variables as possible into consideration for the sake of accuracy. Our concerned model is based on well-known physical laws and tries to avoid simplification, thereby leading to a highly discontinuous system with model switches due to the seasonal or daily variation and other reasons. Such a model is implemented in the form of a software package. Hence, no explicit mathematical expression can be given. A key technical challenge is that the complexity of the model prohibits the analytical derivation of FIM, while the numeric calculation is sensitive to sensor noise and model switches. We, hence, propose to adopt an automatic differentiation method, which exploits the operator overload feature of object oriented programming language, for robust numerical FIM calculation. © 2013 IEEE.

关键词： Numerical methods

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