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第三十三届中国控制会议

作者： NGUYEN Hoang Vu HUANG Rong YANG Wankou SUN Changyin School of Automation Southeast University Faculty of Industrial Technology Tien Giang UniversityMy Tho 860000Viet Nam Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

Based on the recent success of Low-Rank matrix Representation(LRR),we propose a novel classification method for robust face recognition,named LRR-based Classification(LRRC).By the ideal that if each data class is linearly spanned by a subspace of unknown dimensions and the data are noiseless,the lowest-rank representations of a set of test vector samples with respect to a set of training vector samples have the nature of being both dense for within-class affinity and almost zero for between-class ***,the LRR exactly reveals the classification of the *** experimental results demonstrate that LRRC has competitive with state-of-the-art classification methods.

关键词： Low rank representation,Face recognition,Feature extraction,Classification,Sparse representation

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control of a continuous stirred tank reactor using advanced approaches 21

Control of a continuous stirred tank reactor using advanced ...

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21st International Congress of Chemical and Process engineering, CHISA 2014 and 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2014

作者： Závacká, J. Vasičkaninová, A. Bakošová, M. Department of Information Engineering and Process Control Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 Bratislava812 37 Slovakia

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Two-dimensional proximate time-optimal servomechanism

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Australian Journal of Electrical and Electronics engineering 2014年第3期11卷 317-326页

作者： Salton, A.T. Zheng, J. Flores, J.V. Lisboa, L.P. Group of Automation and Control Systems Pontificia Universidade Católica do Rio Grande do Sul Porto Alegre Brazil Faculty of Engineering and Industrial Sciences Swinburne University of Technology HawthornVIC Australia Department of Electrical Engineering Universidade Federal do Rio Grande do Sul Porto Alegre Brazil

This paper focuses on the development of a proximate time optimal control method for two-dimensional rigid body systems, eg. XY positioning tables. Our approach is based on the traditional proximate time-optimal servomechanism (PTOS), which starts with a near-time-optimal non-linear controller and then switches to a linear controller as the system output approaches the desired target. This work proposes to expand the PTOS, a unidirectional control law to two-dimensional systems, in order to perform linear point to point trajectories in minimum time. © Institution of Engineers Australia, 2014.

关键词： Linear control systems

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From linear to nonlinear model predictive control of a building 19

From linear to nonlinear model predictive control of a build...

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

作者： Pčolka, Matej Žáčeková, Eva Robinett, Rush Čelikovský, Sergej Šebek, Michael Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Mechanical Engineering-Engineering Mechanics Michigan Technological University United States Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Czech Republic

ISBN: (纸本)9783902823625

In the building climate control area, the linear model predictive control (LMPC)- nowadays considered a mature technique-benefits from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time-varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is verified on a set of numerical experiments performed using a high fidelity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements. © IFAC.

关键词： Model predictive control

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Genetic Algorithm Based on Duality Principle for Bilevel Programming Problem in Steel-making Production

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Chinese Journal of Chemical engineering 2014年第7期22卷 742-747页

作者：林硕栾方军韩忠华吕希胜周晓锋刘炜 Information & Control Engineering Faculty Shenyang Jianzhu University Shenyang Institute of Automation Chinese Academy of Sciences School of Information Science & Engineering Northeastern University

Steel-making and continuous/ingot casting are the key processes of modern iron and steel enterprises. Bilevel programming problems(BLPPs) are the optimization problems with hierarchical structure. In steel-making production, the plan is not only decided by the steel-making scheduling, but also by the transportation *** paper proposes a genetic algorithm to solve continuous and ingot casting scheduling problems. Based on the characteristics of the problems involved, a genetic algorithm is proposed for solving the bilevel programming problem in steel-making production. Furthermore, based on the simplex method, a new crossover operator is designed to improve the efficiency of the genetic algorithm. Finally, the convergence is analyzed. Using actual data the validity of the proposed algorithm is proved and the application results in the steel plant are analyzed.

关键词： Steel-making Genetic algorithm Bilevel problem Scheduling

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Implementation of wearable sensors for fall detection into smart household

Implementation of wearable sensors for fall detection into s...

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12th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2014

作者： Biroš, Ondrej Karchňák, Ján Šimšík, Dušan Hošovský, Alexander Technical University of Košice Mechanical Engineering Faculty Department of Automation Control and Human-machine Interactions Košice Slovakia Technical University of Košice Faculty of Manufacturing Technologies with A Seat in Prešov Department of Mathematics Informatics and Cybernetics Prešov Slovakia

ISBN: (纸本)9781479934423

The proposed paper describes implementation of wearable sensors into smart household environment. Wearable sensor prototype is based on MEMS inertial measurement unit, containing accelerometer and gyroscope. Fall detection using wearable sensors has been determined as suitable function in several implementations. Fall detection algorithm, considering information about acceleration, tilt and angular velocity was developed and tested. Communication of IMU with PC is described as well as experimental verification of the algorithm. © 2014 IEEE.

关键词： Sensors

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Analysis of oxygen saturation detection method on intelligent mobile devices

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Ruan Jian Xue Bao/Journal of Software 2015年 26卷 165-176页

作者： Chen, Yi-Neng Deng, Xiao-Ming He, Yue Lu, Lu Tian, Feng Wang, Feng Dai, Guo-Zhong Wang, Hong-An Beijing Key Laboratory of Human-Computer Interaction nstitute of Software The Chinese Academy of Sciences Beijing100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100049 China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650093 China

With the fast development of mobile devices and great concern on health surveillance, it is becoming increasingly popular to collect, analyze, and interpret people's health-related data by using intelligent mobile devices in their daily life. Oxygen saturation is an important physiological parameter referring to the concentration of oxygen in the blood, and prolonged low oxygen levels may lead to respiratory or cardiac arrest. Previous oxygen saturation detection methods require infrared light, however most of the off-the-shelf mobile devices lack such infrared light transmitter and receiver modules. This paper presents a novel oxygen saturation estimation method emplying a RGB camera and visible light in most of mobile devices. By applying of traditional optical oxygen saturation estimation model to mobile devices, and analyzing its problem for those devices, this study proposes a new oxygen saturation estimation model on intelligent mobile devices and offers an approach to solve the baseline drift problem in mobile cameras. Experiments demonstrate the effectiveness of the proposed method and its potentials in many oxygen saturation based researches such as daily-activity based healthcare with mobile devices. © Copyright 2015, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Cameras

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Algorithm for fast determination of LiFePO4 battery nominal current

Algorithm for fast determination of LiFePO4 battery nominal ...

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Proceedings of the International Convention MIPRO

作者： Igor Sirotić Viktor Šunde Željko Ban Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Control and Computing Engineering Zagreb Croatia

The development of production and increasing usage of light electric vehicles such as electric bicycles and electric scooters entails development of batteries, battery chargers and fast charging algorithms. Batteries with different nominal electrical characteristics and production technologies are currently in use. Among them, lithium-iron batteries are increasingly being used. The differences in basic characteristics of batteries and standardization issues require fast identification of various battery types and adapting of charging algorithms according to nominal current, voltage, capacity and state of charge. This paper describes a method for determining the nominal current for unknown LiFePO 4 battery connected to the stationary filling station for charging electric bicycles. A prerequisite for determination of the rated current is identification of current-voltage curve at the moment of connection and identification of the number of cells. The algorithm for determining these parameters is given in the first part of the paper. The second part deals with determination of the nominal current for LiFePO 4 battery based on current-voltage response to the selected battery charging algorithm.

关键词： Batteries System-on-chip Voltage measurement Temperature measurement Load modeling Current measurement Battery charge measurement

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High gain observer for embedded Acrobot 19

High gain observer for embedded Acrobot

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

作者： Anderle, Milan Čelikovský, Sergej Czech Technical University in Prague Faculty of Electrical Engineering Department of Control Engineering Technická 2 Prague166 27 Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodárenskou věží 4 Prague182 08 Czech Republic

ISBN: (纸本)9783902823625

Underactuated mechanical systems are systems with less actuators than degrees of freedom. Therefore, it is complicated to measure all states, i.e. angular positions or angular velocities, of the mechanical system. Alternative solution consists in an observer design such that unmeasurable states are estimated. For this purpose, a high gain observer for an Acrobot was introduced. By virtue of an Acrobot embedding into a 4-link model, the high gain observer was simply extended and applied to the 4-link model. The main aim of this paper consists in a coupling of a method of the Acrobot embedding into the 4-link model and the high gain observer design for the Acrobot. The coupling results in an observer for the 4-link model with the same structure as the already developed high gain observer for the Acrobot model. The control of the 4-link model using the embedding method is based on a definition of constraining functions for knees control whereas the remaining angle in the hip is controlled in the same way as it would be an Acrobot's angle. The ability of feedback tracking of the walking-like trajectory of the 4-link with observed geometry during a swing phase of a single step is demonstrated in simulations. © IFAC.

关键词： Mechanical actuators

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Evolving fuzzy-model-based on c-regression clustering

Evolving fuzzy-model-based on c-regression clustering

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2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014

作者： Škrjanc, Igor Dovžan, Dejan Gomide, Fernando Laboratory of Modelling Simulation and Control Faculty of Electrical Engineering University of Ljubljana Tržaška 25 LjubljanaSI-1000 Slovenia Department of Computer Engineering and Automation DCA School of Electrical and Computer Engineering FEEC University of Campinas UNICAMP Av. Albert Einstein 400 Campinas SP13083-852 Brazil

ISBN: (纸本)9781479933471

In this paper a new approach to data stream evolving fuzzy model identification is given. The structure of the model is given in the form of Takagi-Sugeno and the partitioning of the input-output space is obtained using a fuzzy c-regression clustering method and the approach also involves the evolving properties. The method is given in a recursive form. The proposed approach is shown with two simple examples of nonlinear system approximation and nonlinear dynamical system modelling. © 2014 IEEE.

关键词： Nonlinear dynamical systems

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