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International IEEE Conference on Intelligent Systems, IS

作者： Hong Yang Georgi M. Dimirovski Jun Zhao Control Science Institute of the School of Information Science and Engineering Northeastern University Shenyang Liaoning China ASE Institute of the Faculty of Electrical Engineering Saints Cyril and Methodius University슠of슠Skopje Skopje Macedonia Computer Eng. Department of the Faculty of Engineering Dogus University Kadikoy Istanbul Turkey

Stability issues for switched systems whose subsystems are all fuzzy systems, either continuous-time or discrete-time, are studied and new results derived. Innovated representation models for switched fuzzy systems are proposed. The single Lyapunov function method has been adopted to study the stability of this class of switched fuzzy systems. Sufficient conditions for quadratic asymptotic stability are presented and stabilizing switching laws of the state-dependent form are designed. The elaborated illustrative examples and the respective simulation experiments demonstrate the effectiveness of the proposed method

关键词： Fuzzy systems Stability analysis control design Fuzzy control Switched systems Lyapunov method Sufficient conditions Asymptotic stability control system synthesis Intelligent systems

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ROBUST FILTERING FOR UNCERTAIN LINEAR DISCRETE-TIME DESCRIPTOR SYSTEMS

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IFAC Proceedings Volumes 2006年第1期39卷 1228-1233页

作者： Carlos E. de Souza Minyue Fu Karina A. Barbosa Department of Systems and Control Laboratório Nacional de Computação Científica - LNCC Av. Getúlio Vargas 333 25651-075 Petrópolis RJ Brazil School of Electrical Engineering and Computer Science The University of Newcastle NSW 2308 Australia

This paper is concerned with the problem of robust filtering for uncertain linear discrete-time descriptor systems. The matrices of the system state-space model are uncertain and supposed to belong to a given polytope. A linear matrix inequality based method is proposed for designing linear stationary strictly proper filters, for the one-step prediction, that guarantee the asymptotic stability of the estimation error and an optimized upper-bound on the asymptotic error variance, irrespective of the parameter uncertainty. The proposed robust filter design is based on a parameter-dependent Lyapunov function.

关键词： Filtering robust LMS filtering descriptor systems uncertain systems discrete-time systems parameter-dependent Lyapunov functions

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Sufficient excitation conditions for system identification using binary-valued observations

Sufficient excitation conditions for system identification u...

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American control Conference (ACC)

作者： Le Yi Wang G.G. Yin Yanlong Zhao Ji-Feng Zhang Department of Electrical and Computer Engineering Wayne State University Detroit MI USA Department of Mathematics Wayne State University Detroit MI USA Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy and Sciences China

Conditions on input signals are derived that characterize their probing richness for system identification using binary-valued observations. Identification configurations in open-loop, filtering, and feedback systems are discussed together with different scenarios of noises including actuator noise, input measurement noise, and output measurement noises. In addition to system parameter estimation, identifiability and sufficient excitation conditions are also derived under unknown threshold and noise distributions

关键词： System identification Noise measurement Sensor systems Parameter estimation Sensor phenomena and characterization Distribution functions Mathematics Filtering Output feedback Actuators

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Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition

Complete Kernel Fisher discriminant analysis of Gabor featur...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Jun-Bao Li Jeng-Shyang Pan Zhe-Ming Lu Jung-Chou Harry Chang Department of Automatic Test and Control Harbin Institute of Technology Harbin China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan Institute for Computer Science University of Freiburg Freiburg im Breisgau Germany Division of Research and Development Viswis Inc. Taipei Taiwan

This paper presents a novel face recognition method based on complete Kernel Fisher discriminant (CKFD) analysis of Gabor features with power polynomial models. By integrating the Gabor wavelet representation of face images and the enhanced powerful discriminator named CKFD analysis, the method is robust to changes in illumination and facial expressions and poses. On the other hand, the extended polynomial Kernels, namely fractional power polynomial (FPP) models, are employed in CKFD analysis, which enhance face recognition performance. Comparing with existing PCA, LDA, KPCA, KFD and CKFD methods, the proposed method gives superior results in the ORL and Yale face databases. Its good performance in the two face databases gives the promising idea to solve the pose, illumination, and expression (PIE) problem of face recognition

关键词： Kernel Polynomials Face recognition Lighting Databases Wavelet analysis Image analysis Robustness Performance analysis Principal component analysis

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High-accuracy skew estimation of document images

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International Journal of Fuzzy Systems 2006年第3期8卷 119-126页

作者： Lin, Chin-Teng Fan, Kan-Wei Yeh, Chang-Mao Pu, Her-Chang Wu, Fang-Yi College of Computer Science National Chiao-Tung University 1001 Ta Hsueh Road Hsinchu 300 Taiwan National Chiao Tung University Hsinchu Taiwan Chungchou Institute of Technology Taichung Taiwan Department of Electrical and Control Engineering NCTU Taiwan MediaTek Taiwan

This paper presents a new skew angle estimation algorithm for binary document images based on the FCRM (fuzzy c-regression models) clustering method with the aim to resolve the disadvantages of low accuracy and robustness of the existing approaches. This algorithm consists of four processes. The first process transfers the input image into parallel straight lines through image analysis. The second process uses the operating window selection to accelerate the executing time. The following process magnifies the image by fast interpolation to increase the accuracy of skew angle estimation. Finally, the FCRM method is applied to estimate the skew angle. A test set of 184 documents of different kinds is used to measure the performance of the proposed algorithm. Experimental results show that the proposed method has a high precision rate for different document types;it is able to accurately estimate the skew angles that range between -89° and +89°. © 2006 TFSA.

关键词： Imaging systems

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Generating multi-scroll chaotic attractors via threshold control

Generating multi-scroll chaotic attractors via threshold con...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Jinhu Lu K. Murali S. Sinha H. Leung Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science슠Chinese Academy of Sciences Beijing China Department of Physics Anna University Chennai India Institute for Mathematical Sciences Chennai India Department of Electrical and Computer Engineering University of Calgary Calgary Canada

This paper proposes a novel threshold control approach for creating multi-scroll chaotic attractors. The general jerk circuit is used as an example to show the working principle of this method. The controlled jerk circuit can emerge various limit cycles and n-scroll chaotic attractors by adjusting the upper threshold, lower threshold, and the width of inner saturated plateau. The dynamical mechanism of the threshold control is then further explored by analyzing the system dynamical behaviors. In particular, this method is effective and simple to implement since we only need monitor a single state variable and reset it if it exceeds the thresholds. It indicates the potential engineering applications for various chaos-based information systems

关键词： Chaos control systems Circuits Limit-cycles Optimal control Linear feedback control systems Hysteresis Laboratories Physics computing Systems engineering and theory

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Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing

Stereo Vision based Relative Pose and Motion Estimation for ...

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International Conference on Information and Automation (ICIA)

作者： Cui Xu Liankui Qiu Ming Liu Bin Kong Yunjian Ge Department of Automation University of Science and Technology Hefei Anhui China Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electrical and Computer Systems Engineering Monash University Melbourne VIC Australia

In this paper, we present a real-time stereo vision based pose and motion estimation system that will be used for landing an unmanned helicopter on a moving target such as a ship deck. The vision algorithm mainly consists of a feature extraction task and a pose and motion estimation task. The 2D planer target with regular features defined can significantly simplify the feature extraction task such as corner detection and feature points matching. To effectively estimate the distance between the camera carrier and target a stereo camera system is applied. By means of sub-pixel corner location the precisions of pose estimation and relative motion detection can be improved. We present results from semi-physical simulation which show that our vision algorithm is accurate and robust. The methodology provides an effective subsystem for the development of autonomous robot helicopter that will land on a given target under the guide of vision.

关键词： Stereo vision Motion estimation Helicopters Feature extraction Cameras Robot vision systems Real time systems Marine vehicles Metalworking machines computer vision

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Development of Portable Wireless Brain computer Interface with Embedded Systems

Development of Portable Wireless Brain Computer Interface wi...

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2006 IEEE Biomedical Circuits and Systems Conference (BioCAS 2008)

作者： Chin-Teng Lin Hung-Yi Hsieh Li-Wei Ko May Lin Sheng-Fu Liang Department of Electrical and Control Engineering Computer Science National Chiao Tung University Hsinchu Taiwan Department of Electrical and Control Engineering Brain Research Center National Chiao Tung University Hsinchu Taiwan Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

In this paper, we propose an embedded multi-task scheduling system to make the wireless brain computer interface to real-time receive electroencephalogram signal more accurate. This method we propose also can increase the flexibility of the system. Base on the method, we can change the peripheral devices easily. And the tasks are taken as modules, so it also can increase the flexibility of system programs. The proposed system integrates electroencephalogram signal amplifier technique, wireless transmission technique, and embedded real-time system. The OMAP (Open Multimedia Architecture Platform) is used as a development platform and an embedded operating system is also used.

关键词： Wireless communication Digital signal processing Electroencephalography Real time systems Band pass filters Logic gates Memory management

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Delay-dependent stability of 2D state-delayed linear systems

Delay-dependent stability of 2D state-delayed linear systems

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： W. Paszke J. Lam K. Galkowski Shengyuan Xu E. Rogers A. Kummert Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland Department of Mechanical Engineering University of Hong Kong Hong Kong China Department of Automation Nanjing University of Science and Technology of PLA Nanjing China Faculty of Electrical Information and Media Engineering University of Wuppertal Wuppertal Germany School of Electronics and Computer Science University of Southampton Southampton UK

This paper addresses the problem of stability for two-dimensional systems with delays in the state. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matrix inequalities and it is dependent on the size of delays. This fact allows us to reduce the conservatism in the stability analysis of two-dimensional systems with state delays. A simulation example is given to illustrate the theoretical developments

关键词： Stability Linear systems Delay systems Symmetric matrices control systems Linear matrix inequalities Delay lines automatic control control engineering computing Mechanical engineering

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SVM Based System for classification of Microcalcifications in Digital Mammograms

SVM Based System for classification of Microcalcifications i...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Sukhwinder Singh Vinod Kumar H.K. Verma Dilbag Singh Department of Computer Science and Information Engineering Sant Longowal Institute of Engineering and Technology India Department of Electrical Engineering Indian Institute of Technology Roorkee Roorkee India Department of Instrumentation & Control Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar - 144 011 Punjab INDIA. e-mail: singhd@nitj.ac.in

This paper presents a SVM based computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced using morphological enhancement (MORPHEN) method. Second, pixels in potential microcalcification regions are segmented out by using edge detection and morphological operations. Third, features based on shape, texture and statistical properties are extracted from each region. Finally, these features are fed to a SVM based classifier for identifying the clusters as either benign or malignant. The SVM with RBF kernel gave A z =0.9803 with 97% accuracy and the SVM with polynomial kernel gave A z =0.9541 with 95% accuracy

关键词： Support vector machines Support vector machine classification computer aided diagnosis Image edge detection Kernel Coronary arteriosclerosis Cancer detection Breast cancer Feature extraction Background noise

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