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5th International Conference on control and Automation, ICCA'05

作者： Zhao, Xinglong Tan, Yonghong A0303222 Department of Automation Shanghai Jiaotong University Shanghai 200030 China Laboratory of Intelligent Systems and Control Engineering Guilin University of Electronic Technology Guilin 541004 China

ISBN: (纸本)0780391381

A neural network based method of modeling hysteresis in piezo-electrical actuator is proposed. In this method, a hysteretic operator is introduced to transform the multi-valued mapping of hysteresis into a one-to-one mapping so that neural networks can be utilized to approximate the characteristic of hysteresis. The result of modeling the hysteresis exists in a piezo-electrical actuator using the proposed method is finally presented. © 2005 IEEE.

关键词： Hysteresis

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Learning and recognizing behavioral patterns using position and posture of human body and its application to detection of irregular states

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systems and Computers in Japan 2005年第13期36卷 45-56页

作者： Aoki, Shigeki Iwai, Yoshio Onishi, Masaki Kojima, Atsuhiro Fukunaga, Kunio Graduate School of Engineering Osaka Prefecture University Sakai 599-8531 Japan Bio-Mimetic Control Research Center RIKEN Nagoya 463-0003 Japan Library and Science Information Center Osaka Prefecture University Sakai 599-8531 Japan Department of Electronic Control Engineering Kumamoto National College of Technology Japan Robotics Society of Japan Japan Sharp Corporation Japan Bio-Mimetic Control Research Center RIKEN Japan IEEJ Japan Image and Information Media Society Faculty of Liberal Arts and Sciences Osaka Prefecture University Japan Information Processing Society Japan Society for Artificial Intelligence Department of Informatics Faculty of Engineering Institute of Systems Control and Information Engineers Japan IEEE

It is generally considered that human behavior includes both regularities and habits. In this paper, the regularities and habits of behavior are called the behavioral pattern, and we wish to learn and recognize them. The conventional approaches considered behavioral patterns but used only infrared sensors or information about whether electrical appliances were on or off. Thus, it was difficult to recognize in detail how a person was performing motions in the room. In order to realize a procedure for the detailed recognition of motion in ordinary environments, on the other hand, a large number of models must be prepared beforehand. To deal with this problem, this paper proposes the following technique. Motions conducted in the learning period are automatically classified and individual models are constructed. Then, motions can be recognized in detail without preparing a large number of models, and behavioral patterns can be recognized by considering the sequence of motions. In experiments, human motions and behavioral patterns in an indoor environment were learned and recognized, and the effectiveness of the method was demonstrated. © 2005 Wiley Periodicals, Inc.

关键词： Pattern recognition

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Multi-channel audio time-scale modification

Multi-channel audio time-scale modification

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119th Convention Fall Preprints 2005

作者： Dorran, David Lawlor, Robert Coyle, Eugene Digital Media Centre Dublin Institute of Technology Aungier Street Dublin 2 Ireland Department of Electronic Engineering National University of Ireland Maynooth Co. Kildare Ireland Dublin Institute of Technology School of Control Systems and Electrical Engineering Dublin 8 Ireland

ISBN: (纸本)9781604234855

Phase vocoder based approaches to audio time-scale modification introduce a reverberant artefact into the timescaled output. Recent techniques have been developed to reduce the presence of this artefact;however, these techniques have the effect of introducing additional issues relating to their application to multi-channel recordings. This paper addresses these issues by collectively analysing all channels prior to time-scaling each individual channel.

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Analysis of ensemble learning using simple perceptrons based on on-line learning theory

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systems and Computers in Japan 2005年第12期36卷 63-74页

作者： Miyoshi, Seiji Hara, Kazuyuki Okada, Masato Department of Electronic Engineering Kobe City College of Technology Kobe 651-2194 Japan Division of Electronics and Information Engineering Tokyo Metropolitan College of Technology Tokyo 140-0011 Japan Laboratory for Mathematical Neuroscience RIKEN Brain Science Institute Wako 351-0198 Japan Intelligent Cooperation and Control PRESTO Japan Science and Technology Agency Wako 351-0198 Japan IEEE Institute of Electrical Engineers of Japan Japanese Neural Network Society Physical Society of Japan Information Processing Society of Japan Institute of Systems Control and Information Engineers Society for Neuroscience Japan Neuroscience Society

We discuss ensemble learning using K simple non-linear perceptrons and a sign output function within the framework of statistical mechanics of on-line learning. One objective of statistical learning theory is to calculate the theoretical generalization error of a learner. In this paper we show that the generalization error of K students when their combined output is determined by a majority vote can be calculated as a function of two macroscopic variables: the degree of similarity between the teacher and the students, and the degree of similarity among the students. We then derive differential equations describing the dynamics of these macroscopic variables for a generalized learning rule. In addition, we derive these differential equations explicitly for three learning rules: the well-known Hebbian learning, Perceptron learning, and AdaTron learning rules. Solving these, we calculate the generalization error for each in turn numerically. As a result we find that these three learning rules have different characteristics with respect to their affinity to ensemble learning as seen in their conservation of diversity among students;and the fascinating fact that from this perspective the AdaTron learning rule is superior is brought to light. © 2005 Wiley Periodicals, Inc.

关键词： Learning systems

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Velocity control of an omni-directional wheelchair considering user's comfort by suppressing vibration

Velocity control of an omni-directional wheelchair consideri...

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2005 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： J. Urbano K. Terashima T. Miyoshi H. Kitagawa Department of Production Systems Engineering Toyohashi University of Technology Toyohashi Japan Department of Electronic Control Engineering Gifu National College of Technology Gifu Japan

In this paper, riding comfort of an omnidirectional wheelchair (OMW) driven by joystick is studied for the case when OMW moves in X direction, Y direction, or in a slanting direction. In order to achieve the comfort driving specific spectrum elements such as natural frequency of OMW and discomfort frequency of human organs are suppressed. In order to evaluate the comfort, a human model which considers human upper body composed of two parts: torso and head, has been developed and used in order to test the effectiveness of the proposed approach. Experimental results of velocity control are shown.

关键词： Velocity control Wheelchairs Vibration control Humans Frequency Biological system modeling Torso Testing Aging Navigation

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COMPARISON OF LMI BASED H 2 control DESIGNS FOR VSC-HVDC TRANSMISSION

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IFAC Proceedings Volumes 2005年第1期38卷 233-238页

作者： Martyn Durrant Katarina Aleksic Herbert Werner Keith Abbott Institute of Control Engineering Hamburg University of Technology Hamburg 21073 Germany Department for Automatic Control University of Nis 18000 Nis Serbia and Montenegro Areva T&D Ltd Power Electronic Systems Stafford England

The design of a robust controller for a VSC HVDC terminal using LMI based robust H 2 and multi-objective H 2 – H ∞ design methods is described. The operating range of the terminal is first characterised as an uncertainty region around a linear nominal model using the operating points of a non-linear model. The performance and robustness of controllers designed using the two methods and the effects of approximations in the uncertainty region definition are then described and compared. The best trade-off between robustness and performance on the non-linear model is demonstrated to be achieved using the robust H 2 method

关键词： Power transmission multi-variable feedback control uncertain linear systems robust stability robust performance

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Neural modeling for hysteresis in piezoelectrical actuator

Neural modeling for hysteresis in piezoelectrical actuator

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International Conference on control and Automation (ICCA)

作者： Xinglong Zhao Yonghong Tan Department of Automation Shanghai Jiaotong University Shanghai China Laboratory of Intelligent Systems and Control Engineering Guilin University of Electronic and Technology Guilin China

关键词： Hysteresis Piezoelectric actuators Neural networks Distribution functions Intelligent networks Degradation System performance Automation Laboratories Intelligent systems

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Robust Acceleration control of Electrodynamic Shaker Using μ -Synthesis

Robust Acceleration Control of Electrodynamic Shaker Using ...

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IEEE Conference on Decision and control

作者： Y. Uchiyama M. Mukai M. Fujita IMV CORPORATION Osaka Japan Department of Electrical and Electronic Systems Engineering Kyushu University Fukuoka Japan Department of Mechanical and Control Engineering Tokyo Institute of Technology Tokyo Japan

This paper presents an acceleration control of an electrodynamic shaker that cannot employ the iteration control method freely. There are considerable points in the design phase of the acceleration controller. The transfer functions using the acceleration controlled variable have zero at the origin and two crossover frequencies. It is not easy to design the acceleration controller by using the conventional design method directly. The controller is designed by using μ–synthesis based on these points. Further, a two degrees of freedom controller is designed to improve the transient response. Finally, the experiment using an actual electrodynamic shaker is carried out. A comparison between the proposed controller and the controller derived from the iteration control method is shown.

关键词： Robust control Acceleration Electrodynamics Electric variables control Testing Open loop systems Computer simulation Force control Displacement control Frequency

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Adaptive estimation and rejection of unknown disturbances through measurement feedback for a class of nonminimum phase nonlinear MIMO systems

Adaptive estimation and rejection of unknown disturbances th...

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International Conference on control and Automation (ICCA)

作者： Weiyao Lan B.M. Chen Zhengtao Ding Department of Electrical and Computer Engineering National University of Singapore Singapore Control Systems Centre School of Electrical and Electronic Engineering University of Manchester Institute of Science and Technology Manchester UK

This paper developed an adaptive estimation method to estimate unknown disturbances in a class of nonminimum phase nonlinear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The frequencies, phases and amplitudes of the disturbances are unknown, the only available information of the disturbances is the number of distinctive frequencies. The system considered in this paper is a class of MIMO nonlinear systems in the output feedback form, the system can be nonminimum phase. The proposed estimation algorithm provides exponentially convergent estimates of system states, unknown disturbances in the system and frequencies of the disturbances characterized by the eigenvalues of the exosystem. Moreover, the disturbance rejection control law is constructed by combining the stabilization controller designed without considering the disturbances and the estimates of the disturbances. The control law compensates the unknown disturbances completely while maintains the stability of the whole closed-loop system.

关键词： Adaptive estimation Phase measurement MIMO Frequency estimation State estimation Phase estimation Nonlinear systems Output feedback Eigenvalues and eigenfunctions control systems

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Robust super-exponential methods for blind equalization of an SISO-IIR system with additive gaussian noise

Robust super-exponential methods for blind equalization of a...

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8th International Symposium on Signal Processing and its Applications, ISSPA 2005

作者： Kawamoto, Mitsuru Kohno, Kiyotaka Inouye, Yujiro Nandi, Asoke K. Information Technology Research Institute National Institute of Advanced Industrial Science and Technology Central 2 1-1-1 Umezono Tsukuba Ibaraki 305-8568 Japan Department of Electronic and Control Systems Engineering Shimane University 1060 Nishikawatsu Matsue Shimane 690-8504 Japan Department of Electrical Engineering and Electronics University of Liverpool Brownlow Hill Liverpool L69 3GJ United Kingdom

ISBN: (纸本)0780392434

The present paper deals with the blind equalization problem of a single-input single-output infinite impulse response (SISO-IIR) system with additive Gaussian noise. To solve the problem, we propose a "super- exponential method" (SEM). The novel point of the proposed SEM is that even when Gaussian noise is added to the output of the system, the blind equalization can be achieved with as little influence of Gaussian noise as possible;hence the proposed SEM is referred to as a "robust super-exponential method" (RSEM). Simulation results show the validity of the proposed RSEM. © 2005 IEEE.

关键词： IIR filters

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