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IEEE International Symposium on Intelligent control (ISIC)

作者： Qinmin Yang S. Jagannathan Youxian Sun State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou Zhejiang China Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust integral of the sign of the error (RISE) feedback signal multiplied with an adaptive gain plus neural network (NN) output. The two-layer NN learns the system dynamics in an online manner while residual reconstruction errors and the external bounded system disturbances are overcome by the RISE signal. Semi-global asymptotic tracking performance is theoretically guaranteed by using the Lyapunov standard method, while the NN weights and all other signals are shown to be bounded. Further, simulations results are present to illustrate the control performance.

关键词： Artificial neural networks Approximation methods Asymptotic stability Nonlinear systems Trajectory Stability analysis Robustness

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Introduction

Communications and Control Engineering

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Communications and control Engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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Modeling and control of a sorption process using 2D systems theory

Modeling and control of a sorption process using 2D systems ...

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2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011

作者： Dymkov, Michael Galkowski, Krzysztof Rogers, Eric Dymkou, Vitali Dymkou, Siarhei Department of Mathematics Belarus State Economic University Partizanskiy Ave 26 220070 Minsk Belarus Institute of Control and Computation Engineering University of Zielona Gora Poland University of Wuppertal United Kingdom School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom Department of Business Process Analysis and Design of JSC Belagroprombank Zhukov Ave. 3 220036 Minsk Belarus Temasek Laboratories National University of Singapore 5A Engineering Drive 1 Singapore

ISBN: (纸本)9781612848167

This paper introduces a model for the dynamics of a sorption process from the industrial water supply and sewage treatment industries that is a continuous version of the Roesser state-space model for 2D discrete systems. Conditions for unique solvability and the representation formula are then developed together with the solution of an optimization problem using boundary control. The solution of this optimization problem by state feedback is also developed. © 2011 IEEE.

关键词： State feedback

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Modeling and control of a sorption process using 2D systems theory

Modeling and control of a sorption process using 2D systems ...

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International Workshop on Multidimensional (nD) Systems

作者： Michael Dymkov Krzysztof Galkowski Eric Rogers Vitali Dymkou Siarhei Dymkou Department of Mathematics Belarus State Economic University Minsk Belarus University of Wuppertal Germany Institute of Control and Computation Engineering University of Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Department of Business Process Analysis and Design JSC BelaGrouprombank Minsk Belarus Temasek Laboratories National University of Singapore Singapore

关键词： Mathematical model Optimization Educational institutions Optimal control Integral equations process control Equations

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Sensorless direct torque control of five-phase induction motor drives

Sensorless direct torque control of five-phase induction mot...

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Annual Conference of Industrial Electronics Society

作者： B. S. Khaldi H. Abu-Rub A. Iqbal R. Kennel M. O. Mahmoudi D. Boukhetala Department of Electrical Engineering Faculty of Science and Engineering Djelfa University Algeria Laboratory of Process Control National Polytechnic School Algiers Algeria Institute for Electrical Drive Systems and Power Electronics Technische Universität München Munich Germany Department of Electrical & Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical Engineering College of Engineering Qatar University Qatar Department of Electrical Engineering Aligarh Muslim University Aligarh India

This paper presents a simple and novel sensorless scheme for five-phase induction motor control. The power measurement is used for speed computation. The drive is controlled using direct torque control (DTC). Speed sensorless control scheme is tested under speed variation and load changes. The control method is simulated and implemented in real time on the DS1103 board.

关键词： Vectors Stators Torque Rotors Induction motors Torque control Electromagnetics

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Preface

Communications and Control Engineering

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Communications and control Engineering 2011年第9780857292551期 vii-xi页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore

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A Hierarchical Image Annotation Method Based on SVM and Semi-supervised EM

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自动化学报 2010年第7期36卷 960-967页

作者： GAO Yan-Yu YIN Yi-Xin UOZUMI Takashi School of Information Engineering University of Science and Technology Beijing Beijing 100083 P.R.China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing 100083 P. R. China Department of Computer Science and Systems Engineering Muroran Institute of Technology Muroran 050- 8585 Japan

Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem to machines. In this paper, we present a hierarchical annotation scheme considering that generally human s visual identification to a scenery object is a rough-to-fine hierarchical process. First, the input image is segmented into multiple regions and each segmented region is roughly labeled with a general keyword using the multi-classification support vector machine. Since the results of rough annotation affect fine annotation directly, we construct the statistical contextual relationship to revise the improper labels and improve the accuracy of rough annotation. To obtain reasonable fine annotation for those roughly classified regions, we propose an active semi-supervised expectation-maximization algorithm, which can not only find the representative pattern of each fine class but also classify the roughly labeled regions into corresponded fine classes. Finally, the contextual relationship is applied again to revise the improper fine labels. To illustrate the effectiveness of the presented approaches, a prototype image annotation system is developed, the preliminary results of which showed that the hierarchical annotation scheme is effective.

关键词：数字图像自动化系统准确性意义图像标注

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Editorial Special issue on approximate dynamic programming and reinforcement learning

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控制理论与应用（英文版） 2011年第3期 309-309页

作者： Silvia Ferrari Jagannathan Sarangapani Frank L. Lewis Laboratory for Intelligent Systems and Control(LISC)Department of Mechanical Engineering & Materials Science Box 90300 Duke University Durham NC 27708-0005 Department of Electrical & Computer Engineering University of Missouri-Rolla MO 65401 U.S.A. Automation and Robotics Research Institute The University of Texas at Arlington 7300 Jack Newell Blvd. S Ft. Worth Texas 76118-7115 U.S.A.

We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.

关键词： reinforcement learning dynamic programming optimal control effective approach prior knowledge control Theory real-time control law problems special search future ADP basis

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Parameter identification of a linear permanent magnet motor using particle swarm optimization

Parameter identification of a linear permanent magnet motor ...

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7th Annual International Conference on Electrical Engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Therdbankerd, Tithiwat Sanposh, Peerayot Chayopitak, Nattapon Fujita, Hideaki Department of Electrical Engineering Intelligent Mechatronics Automation Robotics and Control Laboratory Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-18 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation

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Nonlinear control and geometric constraint enforcement for teleoperated task execution

Nonlinear control and geometric constraint enforcement for t...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Adolfo Rodríguez Emmanuel Nuño Leopold Palomo Luis Basañez PAL Robotics S.L. Barcelona Spain Institute of Industrial and Control Engineering (IOC) Technical University of Catalonia (UPC) 08028 Barcelona Barcelona Spain Department of Computer Science University of Guadalajara Guadalajara Mexico

This work presents a multimodal teleoperation framework that makes use of novel tools and techniques, such as: nonlinear teleoperators control, for ensuring position tracking in the presence of variable time-delays; relational positioning, for increasing operator performance on precise movement execution by visually and haptically displaying geometric constraints; and augmented reality, for visually combining real and virtual information in a compelling way. Experimental evidence is presented that validates the aptitude of the different components of the proposed framework.

关键词： Force Friction

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