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IEEJ Transactions on Electronics, Information and systems 2006年第3期126卷 319-326+4页

作者： Yasuno, Emiko Zhao, Xueli Kinouchi, Yohsuke Morimoto, Tadaoki Department of Systems and Control Engineering Anan National College of Technology Anan-shi 774-0017 Japan Department of Electrical and Electronic Engineering Faculty of Engineering University of Tokushima Tokushima-shi 770-8506 Japan School of Health Sciences University of Tokushima Tokushima-shi 770-8509 Japan Anan National College of Technology Japan University of Tokushima Japan

In this paper, a new configuration of the electrodes, called divided electrode, is proposed for a short time measurement of bio-impedance in a cross section of a local tissue. Its capability is examined by computer simulations, where a distributed equivalent circuit is used as a model of the tissue. Estimation of impedance parameters is carried out by use of the Gauss-Newton Method. As a result of them, usefulness of the proposed method is confirmed by computer simulations using a typical layered tissue model.

关键词： Tissue

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ROBUST PID DECENTRALIZED controlLER DESIGN USING LMI

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IFAC Proceedings Volumes 2006年第14期39卷 53-58页

作者： Danica Rosinová Vojtech Veselý Department of Automatic Control Systems Slovak University of Technology Faculty of Electrical Engineering and IT Bratislava Slovakia

The new LMI based method for robust stability analysis for linear uncertain system with PID controller is proposed. The general constrained structure of controller matrix is considered appropriate for both output feedback and decentralized control and the respective guaranteed cost control design scheme is presented. The sufficient robust stability condition is developed for extended quadratic performance index including first derivative of the state vector to damp oscillations. The obtained stability condition is formulated for parameter-dependent Lyapunov function.

关键词： Uncertain systems Robust stability Decentralized control Linear matrix inequalities (LMI) Lyapunov function

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OCR Based on ARG Matching Algorithm

OCR Based on ARG Matching Algorithm

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World Congress on Intelligent control and Automation (WCICA)

作者： V. Papic Z. Djurovic B. Kovacevic Systems Control Department at the Faculty of Electrical Engineering University of Belgrade Belgrade Serbia

The problem of alphabet character recognition, using known ARG (attributed relational graph) based technique, is considered. The object (character) representation, which is invariant to arbitrary projective transformation, is based on unary and binary measures. Transformation matrices for all transformation types (translation, similarity, affine and perspective transform) are defined. Basis matrices are obtained and barycentric coordinates, unary and binary measurements are defined. It is experimentally confirmed that the binary measures are invariant related to projective transform and so may be used as features for character recognition

关键词： Optical character recognition software Character recognition Layout Image recognition Shape measurement control systems Coordinate measuring machines Object recognition Computer vision Image segmentation

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Pose estimation of moving objects from video sequences based on the unscented transformation

Pose estimation of moving objects from video sequences based...

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World Congress on Intelligent control and Automation (WCICA)

作者： I. Jovandic Z. Durovic B. Kovacevic Systems Control Department Faculty of Electrical Engineering University of Belgrade Belgrade Serbia

A method for moving objects tracking from video sequences is presented in this paper. The coordinate transform from image frame into the world frame is a nonlinear one. The technique of unscented transformation is used for measurement noise statistics approximation based on estimated statistics of measurement noise in the image frame. The proposed method is illustrated through a differential drive mobile robot tracking example

关键词： Video sequences Mobile robots Robot kinematics Statistics Kalman filters Filtering Orbital robotics Wheels Noise measurement State-space methods

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Algorithm for Fuzzy Relation Identification

Algorithm for Fuzzy Relation Identification

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IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： A. Bara Faculty of Electrical Engineering and Informatics Department of Control Systems and Applied Informatics University of Oradea Romania

Fuzzy model identification of a system can be performed either by subjective or objective methods. Subjective methods assume the describing of system operation in statements of type If...Then... and their summarization in a fuzzy relation. The objective methods are performed in an experimental approach. The second class is a common one and assumes fuzzy model identification without an expert. This presumes an estimation algorithm for the fuzzy relation of a system based on an input-output data set. The paper presents an approach for identification of fuzzy relation based on square prediction error minimization and the results achieved through simulation on the Box-Jenkins data set

关键词： Fuzzy sets Fuzzy systems Equations Informatics Mathematical model Fuzzy control control systems Predictive models Humans Shape

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Adaptive Speed Sensorless Vector control of Induction Motor using Singularly Perturbed Sliding Mode Observer

Adaptive Speed Sensorless Vector Control of Induction Motor ...

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Annual Conference of Industrial Electronics Society

作者： A. Mezouar M. K. Fellah S. Hadjeri Y. Sahali Intelligent Control and Electrical Power Systems Laboratory Department of Electrical Engineering Faculty of Sciences Engineering Djillali Liabes University Sidi Bel-Abbes Algeria

This paper presents a new approach for sensorless vector control of induction motor using singularly perturbed sliding mode observer. This approach is based on the singular perturbation theory which decomposes the original system of the observer error dynamics into separate slow and fast subsystems and permits a simple design and sequential determination of the observer gains. In this way, the flux observer accuracy (slow dynamics) is guaranteed through the current observer (fast dynamics). The rotor speed and the rotor resistance are estimated by adaptive laws based on measured and estimated stator currents and estimated rotor flux. The effectiveness of this new approach has been successfully verified through computer simulations, where the control algorithm is based on the indirect field oriented sliding mode control

关键词： Programmable control Adaptive control Machine vector control Induction motors Sliding mode control Current measurement electrical resistance measurement Velocity measurement Stators Computer simulation

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ROBUST OUTPUT FEEDBACK AFFINE QUADRATIC controlLER DESIGN

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IFAC Proceedings Volumes 2006年第9期39卷 185-190页

作者： M. Hypiusová V. Veselý L'. Grman Department of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkoviĉova 3 812 19 Bratislava Slovakia

The paper deals with the robust output feedback controller design with guaranteed cost and affine quadratic stability for linear continuous time systems. The proposed approach leads to an iterative LMI based algorithm. Numerical examples are studied to verify effectiveness of the proposed method. The obtained results are compared with some other design procedures for robust affine quadratic controller design and robust parameter-dependent quadratic stability.

关键词： Robust control Affine quadratic stability Linear matrix inequality Output feedback

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A Fundamental Study on Parameter Estimation of Layerd Local Tissue Impedance for EIT

A Fundamental Study on Parameter Estimation of Layerd Local ...

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

作者： E. Yasuno H. Kato Y. Kinouchi T. Morimoto Department of Systems and Control Engineering Anan National College of Technology Tokushima Japan Department of Electrical and Electronic Engineering Faculty of Engineering University of Tokushima Tokushima Japan School of Health Sciences Faculty of Medicine University of Tokushima Tokushima Japan

electrical impedance tomography (hereinafter referred to as EIT) is 2-D or 3-D image of electrical impedance distribution in a living tissue. Unlike usual imaging methods, i.e., Xray-CT, MRI and US Imagings, EIT is used for imaging the information of tissue structure and functions. This paper provides a new estimation method as a fundamental study to realize a EIT for local biological tissue. Up until now we has proposed a new configuration of the electrodes, called divided electrode, for a high-speed measurement of bio-impedance in a cross section of a local tissue. The cross section of the tissue was represented by space distributed equivalent circuits of tissue structure known, and their parameters were estimated by inverse algorithm. In this paper, we try to estimate the parameter value of a layered structural model, the thickness of the layer, and the boundary without using US-imaging by using the divided electrode. Its capability is examined by computer simulations, where a distributed equivalent circuit is used as a model of the tissue. Estimation of impedance parameter is carried out by use of the Gauss-Newton method. Usefulness of the proposed method is confirmed by computer simulations using a typical layered tissue model

关键词： Parameter estimation Impedance Tomography Optical imaging Electrodes Equivalent circuits Computer simulation Magnetic resonance imaging Biological tissues Newton method

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Parity based fault estimation for nonlinear systems: an LMI approach

Parity based fault estimation for nonlinear systems: an LMI ...

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American control Conference (ACC)

作者： Sing Kiong Nguang Ping Zhang S. Ding Department of Electrical and Computer Engineering University of Auckland New Zealand Institute for Automatic Control and Complex Systems AKS Faculty of Engineering University of Duisburg-Essen Duisburg Germany

This paper deals with the parity based fault estimation for nonlinear systems modelled by Takagi-Sugeno (TS) fuzzy models. In this paper, the parity space approach for linear systems is generalized to TS fuzzy systems, and power spectra of the faults are incorporated into the design procedure. The design procedure is given in terms of a family of linear matrix inequalities (LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed design techniques

关键词： Nonlinear systems Fuzzy systems Linear systems Power system modeling Fault detection State-space methods Nonlinear dynamical systems Takagi-Sugeno model Linear matrix inequalities Principal component analysis

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Delay dependent fault estimation for uncertain time delay nonlinear systems: an LMI approach

Delay dependent fault estimation for uncertain time delay no...

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American control Conference (ACC)

作者： Sing Kiong Nguang Peng Shi S. Ding The Department of Electrical and Computer Engineering University of Auckland New Zealand School of Technology University of Glamorgan Pontypridd UK Institute for Automatic Control and Complex Systems (AKS) Faculty of Engineering University of Duisburg-Essen Duisburg Germany

This paper deals with the problem of robust fault estimation for uncertain time delay Takagi-Sugeno (TS) fuzzy models. The aim of this study is to design a delay dependent fault estimator ensuring a prescribed H infin performance level for the fault estimation error, irrespective of the uncertainties and the time delays. Sufficient conditions for the existence of a robust fault estimator are given in terms of linear matrix inequalities. Membership functions'(MFs) characteristics are incorporated into the fault estimator design to reduce the conservativeness of neglecting these characteristics

关键词： Delay effects Delay estimation Nonlinear systems Fuzzy systems Fault detection Robustness Uncertainty Estimation error Sufficient conditions Linear matrix inequalities

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