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International Multi-Symposiums on Computer and Computational Sciences (IMSCCS)

作者： Hengshuai Yao Diao Dongcui Zengqi Sun State Key Laboratory of Intelligent Control and Systems Tsinghua University China Mathematical Department Shandong University of Technology China Department of Computer Science and Technology Tsinghua University China

In this paper, we develop a multi-step prediction algorithm that is guaranteed to converge when using general function approximation. Besides, the new algorithm should satisfy the following requirements: first, it does not have to be faster than TD(0) in the look-up table representation; however, the new algorithm should be faster than residual gradient method. Second, the new algorithm should learn optimally

关键词： Function approximation Table lookup Approximation algorithms Dynamic programming Machine learning algorithms Machine learning state-space methods Vectors Sun intelligent control

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Minimal Positive Realizations for Transfer Functions with Negative Poles

Minimal Positive Realizations for Transfer Functions with Ne...

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Chinese Control Conference (CCC)

作者： Yuwei Sun Wensheng Yu Long Wang Institute of Automation Chinese Academy and Sciences Beijing China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Center for Systems and Control Peking University Beijing China

In this paper, we discuss the minimal positive realizations for nth-order rational transfer function of a discrete time-invariant linear single-input-single-output (SISO) system with negative poles. By the constructive method, the necessary and sufficient conditions are provided for these transfer functions to have a positive realization of dimension n. With the benefit of these results, an improvement is made on the existing results about the positive decomposition problem in positive system theory. Numerical examples are employed to validate the results.

关键词： Transfer functions Automation Automatic control Control systems Laboratories intelligent systems Sufficient conditions Linear systems IEEE catalog

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Global Sliding Mode Control with Adaptive Fuzzy Chattering Free Method for Nonlinear System

Global Sliding Mode Control with Adaptive Fuzzy Chattering F...

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Computational Engineering in systems Applications, CESA, IMACS Multiconference on FLAGGED

作者： J. K. Liu F. C. Sun School of Automation Science and Electrical Engineering Beijing Aeronautics and Astronautics University Beijing China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

A novel fuzzy global sliding mode control (FGSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By designing global sliding mode surface, the proposed scheme eliminates reaching phase problem so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach

关键词： Sliding mode control Programmable control Adaptive control Fuzzy control Fuzzy systems Nonlinear systems Uncertain systems Switches Linearization techniques Fuzzy logic

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An Efficient Post-processing Approach for Off-Line Handwritten Chinese Address Recognition

An Efficient Post-processing Approach for Off-Line Handwritt...

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2006 8th International Conference on Signal Processing

作者： Chong Long Xiaoyan Zhu Kaizhu Huang Jun Sun Yoshinobu Hotta Satoshi Naoi Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and SystemsTsinghua University Information Technology Laboratory Fujitsu R&D Center Co.Ltd. Fujitsu Laboratories Ltd Kawasaki 211-8588Japan

Language model is widely used in OCR *** this paper,based on language model,we propose a two-step method for post-processing of off-line handwritten Chinese address *** to the characteristics of high level and low level addresses,two different strategies are used:for high level addresses, word-based language model is used with weighed matching search algorithm proposed;for low level addresses,ME model is implemented with similar character *** post-processing,recognition accuracy rises from 41.60%to 78.19%,which means 62.65%errors reduction.

关键词： OCR Post-processing Language Mode ME Model

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Fuzzy Global Sliding Mode Control for a Servo System with Lugre Friction Model

Fuzzy Global Sliding Mode Control for a Servo System with Lu...

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World Congress on intelligent Control and Automation (WCICA)

作者： Jinkun Liu Fuchun Sun School of Automation Science & Electrical Engineering S Beijing Aeronautics and Astronautics University Beijing China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

To alleviate the chattering problem, a new type of fuzzy global sliding mode controller (FGSMC) is presented. In this controller, the switching gain is estimated by fuzzy logic system based on the reachable conditions of SMC, thus the effect of Lugre friction on switch chattering can be alleviated. Moreover, global sliding mode is realized by designing an exponential dynamic sliding surface. Simulation example for flight simulator servo system with Lugre friction model is given to indicate that the proposed controller can guarantee high robust performance all the time and can alleviate chattering phenomenon effectively

关键词： Fuzzy control Fuzzy systems Sliding mode control Servomechanisms Friction Switches Aerospace simulation Control systems Fuzzy logic Robust control

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H/spl infin/ Stabilization of Markovian Jumping Singularly Perturbed Delayed systems

H/spl infin/ Stabilization of Markovian Jumping Singularly P...

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American Control Conference (ACC)

作者： Huaping Liu E. Boukas Fuchun Sun Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Mechanical Engineering Department Ecole Polytechnique de Montrèal Montreal QUE Canada

This paper deals with the class of Markovian singularly perturbed linear continuous-time systems with time varying and mode-dependent time-delay. The stochastic stability and H infin performance and the H infin state feedback stabilization are tackled. Sufficient conditions in the LMI setting are established for both the problems. A numerical example is provided to show the effectiveness of the developed results

关键词： Delay systems Control systems Riccati equations state feedback Delay effects Sun Stability Stochastic systems Control system synthesis Computer science

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Semi-Supervised Classification Using Linear Neighborhood Propagation

Semi-Supervised Classification Using Linear Neighborhood Pro...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Fei Wang Changshui Zhang H.C. Shen Jingdong Wang State Key Laboratory of Intelligent Technology and Systems Department of Automation Tsinghua University Beijing China Department of Computer Science and Engineering and Digital Technology Center Hong Kong University of Science and Technology Hong Kong China

In this paper, we address the general problem of learning from both labeled and unlabeled data. Based on the reasonable assumption that the label of each data can be linearly reconstructed from its neighbors’ labels, we develop a novel approach, called Linear Neighborhood Propagation (LNP), to learn the linear construction weights and predict the labels of the unlabeled data from the labeled data. The main procedure is composed of two steps: (1) it computes the local neighborhood geometry according to the image information by solving a constrained least squares problem, (2) the obtained geometry will be used to predict the labels of unlabeled data by solving a linearly constrained quadratic optimization problem. LNP has at least three characteristics. Firstly, it is much practical in that only one free parameter, the size of neighborhood, requires user-tuning. Secondly it can be easily extended to out-of-sample examples. Finally the labels achieved from LNP can be sufficiently smooth with respect to the intrinsic structure collectively revealed by the labeled and unlabeled points. Many promising experimental results, such as object recognition, data ranking and interactive image segmentation, demonstrate the effectiveness and efficiency of the proposed approach.

关键词： Image reconstruction Computational geometry Information geometry Constraint optimization Image segmentation Semisupervised learning Laboratories intelligent systems Automation Computer science

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An efficient post-processing approach for off-line handwritten chinese address recognition

An efficient post-processing approach for off-line handwritt...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Chong Long Xiaoyan Zhu Kaizhu Huang Jun Sun Yoshinobu Hotta Satoshi Naoi Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing Beijing China Information Technology Laboratory Fujitsu Research and Development Center Company Limited Beijing China Fujitsu Laboratories Limited Kawasaki Japan

Language model is widely used in OCR post-processing. In this paper, based on language model, we propose a two-step method for post-processing of off-line handwritten Chinese address recognition. According to the characteristics of high level and low level addresses, two different strategies are used: for high level addresses, word-based language model is used with weighed matching search algorithm proposed; for low level addresses, ME model is implemented with similar character method. After post-processing, recognition accuracy rises from 41.60% to 78.19%, which means 62.65% errors reduction

关键词： Handwriting recognition Natural languages Optical character recognition software Character recognition Cities and towns Laboratories Postal services Shape Computer science intelligent systems

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Using Fractional-order PI^λD^μ Controller for Control of Aerodynamic Missile

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Defence technology（防务技术） 2006年第2期2卷 127-131页

作者：张邦楚朱纪洪潘书山王少锋 Hongdu Aviation Industry Group Nanchang 330024 JiangxiChina State Key Laboratory of Intelligent Technology and Systems Tsinghua UniversityBeijing 100084China China Unit 94863 of PLA Shangrao 334000 JiangxiChina

A new type of PID controller is introduced and some properties are given. The novelty of the proposed controller consists in the extension of derivation and integration order from integer to non-integer order. The PIλDμ controller generally has three advantages when compared to the integerl-order controller: the first is that it has more degrees of freedom in the model; the second is that it has a memory in model,the memory insure the history and its impact to present and future,the third is it ensures the stability of missile. This approach provides a more flexible tuning strategy and therefore an easier achieving of control requirements. Flight dynamic model of an aerodynamic missile is taken into account in implementing the PIλDμ controller. Simulation results show that the PIλDμ controller is not sensitive to the changes of control parameters and the system parameters. Also,the controller has more flexible structure and stronger robustness.

关键词：导弹空气动力学控制器微积分

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Fast matching algorithm based on image gray value

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Ruan Jian Xue Bao/Journal of Software 2006年第2期17卷 216-222页

作者： Li, Qiang Zhang, Bo Department of Computer Science and Technology Tsinghua University Beijing 100084 China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China

Correlation algorithms based on pixel gray value are very popular and widely used in image template matching. However, these algorithms have high time complexity and are sensitive to the variation of image luminance and scale. To avoid that, a new algorithm based on coding image grey value is proposed. This algorithm divides the image into certain size blocks called R-block, sums the gray value of each R-block pixel, and codes the R-block according to the sorting result among the neighborhood of R-blocks. Image and template are matched by comparing their R-block coding. The R-block is very rapidly and easily coded and only equality comparison is needed. The new algorithm is robust to the linear transformation of pixel grey value and image noise. Its time complexity is reduced to O(M2log(N)), or namely is improved two order of magnitude in contrast to the current correlation algorithms'.

关键词： Image processing

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