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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Liu, Jieqiong Chen, Weijie Wu, Min She, Jinhua He, Yong School of Information Science and Engineering Central South University Changsha Hunan410083 China Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha Hunan410083 China School of Computer Science Tokyo University of Technology Hachioji Tokyo192-0987 Japan

ISBN: (纸本)9783902823625

This paper extends the equivalent-input-disturbance (EID) approach to deal with the problem of aperiodic disturbance rejection for a plant with an input dead zone in a repetitive-control system so as to improve control performance for the tracking of a periodic signal. Since a dead zone greatly degrades control performance, we apply the EID approach to design a compensator for the nonlinearity by treating it as an input-dependent disturbance. An EID estimator is constructed by making the best use of a full-order generalized state observer (GSO). And a method of designing the GSO is explained. The EID estimate, which exhibits the synthetic effect of the nonlinearity and the aperiodic disturbance, is incorporated into a repetitive control law to compensate for the nonlinearity and the aperiodic disturbance. This method does not require any information about the dead zone. It guarantees perfect tracking for periodic reference input and satisfactory compensation of input dead zone and aperiodic disturbance at the same time. Simulation results demonstrate the effectiveness of this method. © IFAC.

关键词： Disturbance rejection

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Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information

Cooperative and Geometric Learning Algorithm (CGLA) for path...

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作者： Zhang, Baochang Liu, Wanquan Mao, Zhili Liu, Jianzhuang Shen, Linlin Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering BeiHang University Beijing 100191 China Department of Computing Curtin University Perth WA 6102 Australia Shenzhen Key Laboratory of Spatial Smart Sensing and Services School of Computer Science and Software Engineering Shenzhen University China Media Laboratory Huawei Technologies Co.Ltd. Shenzhen 518129 China

In this paper, we propose a new learning algorithm, named as the Cooperative and Geometric Learning Algorithm (CGLA), to solve problems of maneuverability, collision avoidance and information sharing in path planning for Unmanned Aerial Vehicles (UAVs). The contributions of CGLA are three folds: (1) CGLA is designed for path planning based on cooperation of multiple UAVs. Technically, CGLA exploits a new defined individual cost matrix, which leads to an efficient path planning algorithm for multiple UAVs. (2) The convergence of the proposed algorithm for calculating the cost matrix is proven theoretically, and the optimal path in terms of path length and risk measure from a starting point to a target point can be calculated in polynomial time. (3) In CGLA, the proposed individual weight matrix can be efficiently calculated and adaptively updated based on the geometric distance and risk information shared among UAVs. Finally, risk evaluation is introduced first time in this paper for UAV navigation and extensive computer simulation results validate the effectiveness and feasibility of CGLA for safe navigation of multiple UAVs. © 2014 Elsevier Ltd. All rights reserved.

关键词： Motion planning

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Multiple neural networks switched prediction for landslide displacement

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engineering Geology 2014年 186卷 91-99页

作者： Lian, Cheng Zeng, Zhigang Yao, Wei Tang, Huiming School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China School of Computer Science South-Central University for Nationalities Wuhan 430074 China Faculty of Engineering China University of Geosciences Wuhan 430074 China

An accurate prediction of landslide displacement is challenging and of great interest to governments and researchers. In order to reduce the risk of selecting the types of influencing factors and artificial neural networks (ANNs), a multiple ANNs switched prediction method is proposed for landslide displacement forecasting. In the first stage, a set of individual neural networks are developed based on different environmental factors and/or different training algorithms. In the second stage, a switched prediction method is used to select the appropriate individual neural network for prediction purpose. For verification and testing, three typical landslides in Three Gorges Reservoir, namely Baishuihe landslide, Bazimen landslide and Shiliushubao landslide, are presented to test the effectiveness of our method. Application results demonstrate that the proposed method can significantly improve model generalization and perform similarly to, or better than, the best individual ANN predictor. © 2014 Elsevier B.V.

关键词： Forecasting

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A continuous sliding mode controller for the PMSM speed regulation based on disturbance observer

A continuous sliding mode controller for the PMSM speed regu...

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作者： Mu, Chaoxu Xu, Wei Yu, Xinghuo Sun, Changyin School of Electrical Engineering and Automation Tianjin University Tianjin300072 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China School of Electrical and Computer Engineering Royal Melbourne Institute of Technology Melbourne3001 Australia School of Automation Southeast University Nanjin210096 China

ISBN: (纸本)9781479940325

This paper mainly studies the speed control for a permanent magnet synchronous motor system. The relationship between the reference quadrature axis current and the speed output is approximately considered as a second-order model. Based on this second-order model, a composite control strategy is adopted, where a continuous sliding mode controller is designed for the speed regulation without chattering and a disturbance observer is introduced as a compensator to resist disturbances and to reduce control gains. Simulation results have been presented to illustrate that the proposed method has good responses to reference speed signals with torque load disturbances. © 2014 IEEE.

关键词： Speed

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A systematic fire detection approach based on sparse least-squares SVMs

Communications in Computer and Information Science

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Communications in computer and Information science 2014年 462卷 351-362页

作者： Zhang, Jingjing Li, Kang Zhao, Wanqing Fei, Minrui Wang, Yigang Cardiff School of Engineering Cardiff University CardiffCF24 3AA United Kingdom School of Electronics Electrical Engineering and Computer Science The Queen’s University of Belfast BelfastBT9 5AH United Kingdom Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronics and Automation Shanghai University Shanghai200072 China Department of Information Ningbo Institute of Technology Zhejiang University Ningbo315010 China

ISBN: (纸本)9783662452608

In this paper, a systematic approach adopting sparse leastsquares SVMs (LS-SVMs) is proposed to automatically detect fire using vision-based systems with fast speed and good performance. Within this framework, the features are first extracted from input images using wavelet analysis. The LS-SVM is then trained on the obtained dataset with global support vectors (GSVs) selected by a fast subset selection method, in the end of which the classifier parameters can be directly calculated rather than updated during the training process, leading to a significant saving of computing time. This sparse classifier only depends on the GSVs rather than all the patterns, which helps to reduce the complexity of the classifier and improve the generalization performance. Detection results on real fire images show the effectiveness and efficiency of the proposed approach. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Support vector machines

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Finite-time stability and stabilization of Itô stochastic time-varying systems 33

Finite-time stability and stabilization of Itô stochastic t...

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Proceedings of the 33rd Chinese Control Conference, CCC 2014

作者： Yan, Zhiguo Zhang, Weihai Lin, Zhongwei School of Electrical Engineering and Automation Qilu University of Technology Jinan Shandong250353 China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao Shandong266590 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789881563842

This paper deals with the finite-time stability and stabilization for continuous-time linear stochastic time-varying systems. Several necessary and sufficient conditions and a sufficient condition for finite-time stability are derived. Moreover, a sufficient condition for the existence of state feedback controller is given. Such results involve the feasibility problems of differential linear matrix inequalities with terminal constraint. © 2014 TCCT, CAA.

关键词： Stochastic systems

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Data-dependent locality sensitive hashing 15

Data-dependent locality sensitive hashing

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15th Pacific-Rim Conference on Multimedia, PCM 2014

作者： Xie, Hongtao Chen, Zhineng Liu, Yizhi Tan, Jianlong Guo, Li Institute of Information Engineering Chinese Academy of Sciences National Engineering Laboratory for Information Security Technologies Beijing100093 China Interactive Digital Media Technology Research Center Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783319131672

Locality sensitive hashing (LSH) is the most popular algorithm for approximate nearest neighbor (ANN) search. As LSH partitions vector space uniformly and the distribution of vectors is usually non-uniform, it poorly fits real dataset and has limited performance. In this paper, we propose a new datadependent LSH algorithm, which has two-level structures to perform ANN search in high dimensional spaces. In the first level, we first train a number of cluster centers, then use the cluster centers to divide the dataset into many clusters and the vectors in each cluster has near uniform distribution. In the second level, we construct LSH tables for each cluster. Given a query, we first determine a few clusters that it belongs to with high probability, and then perform ANN search in the corresponding LSH tables. Experimental results on the reference datasets show that the search speed can be increased by 48 times compared to E2LSH, while keeping high search precision. © Springer International Publishing Switzerland 2014.

关键词： Nearest neighbor search

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A new graphical representation of protein sequences based on dual-vector model

Communications in Computer and Information Science

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Communications in computer and Information science 2014年 472卷 629-632页

作者： Zhang, Zhujin Zeng, Xiangxiang Chen, Zhihua Wang, Eric Ke School of electrical engineering and information Sichuan University Chengdu610065 China Department of Computer Science Xiamen University Xiamen361005 China School of Automation Huazhong University of Science & Technology Wuhan Hubei430074 China Shenzhen Graduate School Harbin Institute of Technology Shenzhen518055 China Shenzhen Key Laboratory of Internet Information Collaboration Shenzhen518055 China

ISBN: (纸本)9783662450482

Graphical representation of protein sequences is an important method of sequences analysis. We propose a new graphical representation of protein sequences with Virtual DNA Codon and DV-Curve. With virtual DNA codon, we successfully retranslate a protein sequence to a virtual DNA sequence. And then we use DV-Curve to visualize the virtual DNA sequence. The new graphical representation avoids degeneracy and loss of information. It also has good visualization even sequences are long, and avoids the difficulty of observing in multi-dimensional graph. © Springer-Verlag Berlin Heidelberg 2014.

关键词： DNA sequences

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An adaptive predictive control strategy for RMPPT under partially shaded conditions 19

An adaptive predictive control strategy for RMPPT under part...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Ma, Chao Wu, Jing Li, Ning Li, Shaoyuan Li, Kang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast United Kingdom

ISBN: (纸本)9783902823625

As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. However, these methods may fail when shading conditions occur and the power loss can over as much as 70% due to the multiple maxima in I-P curve in shading conditions v.s. single maximum point in uniformly solar irradiance. In this paper, a Real Maximum Power Point Tracking (RMPPT) strategy under Partially Shaded Conditions (PSCs) is introduced to deal with this kind of problems. An optimization problem, based on a predictive model which will change adaptively with environment, is developed to tracking the global maxima and corresponding adaptive control strategy is presented. No additional circuits are required to obtain the environment uncertainties. Finally, simulations show the effectiveness of proposed method. © IFAC.

关键词： Adaptive control systems

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Experimental testing of a prototype wireless tele-alerting system for monitoring sleeping infants (smart cot MAIA) 14

Experimental testing of a prototype wireless tele-alerting s...

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7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014

作者： Spiridonou, Evangelia Matralis, Grigoris Kartsidis, Panagiotis Raducan, Lilia Yfantis, Miltiadis Astaras, Alexander Automation Engineering Dept. Alexander Educational Technological Inst. of Thessaloniki Greece Medical Physics Laboratory Dept. of Medicine Aristotle University of Thessaloniki Greece Computer Science Dept. American College of Thessaloniki Greece

ISBN: (纸本)9781450327466

Real time in situ medical monitoring has become increasingly common in the past few decades, driven by the development of a wide variety of affordable sensors and power autonomous, energy efficient microcontroller platforms. Portable and unobtrusive multi-sensor data acquisition is considered routine, including real-time data processing and alerting based on measurements within or around the human body. Project MAIA has developed an intelligent baby cot system capable of monitoring sleeping infants and remotely notifying their carers under pre-programmed circumstances. It aims to add a layer of protection for infants during the first 6 months of their life, primarily targeting medical emergencies such as choking, suffocation and the elusive Sudden Infant Death Syndrome (SIDS). The MAIA system also aims to contribute to current paediatric medical knowledge by providing rare in situ research data. Copyright 2014 ACM.

关键词： Data acquisition

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