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LPV Model Identification using Blended Linear Models with given Weightings

IFAC Proceedings Volumes 2009年第10期42卷 1674-1679页

作者： Yucai Zhu Guoli Ji Control Systems Faculty of Electrical Engineering Eindhoven University of Technology PO BOX513 5600MB Eindhoven the Netherlands Department of Automation Xiamen University Xiamen 361005 China Also at: Tai-Ji Control Grensheuvel 10 5685 AG Best Netherlands

Nonlinear process identification is studied. In model identification, a linear parameter varying (LPV) model is used and it consists of weighted local linear models. In this work, predetermined weighting functions are used and the LPV model identification becomes a linear identification problem with multiple weighted input data sets. So simplicity is its strength. The developed method is especially suitable for batch processes for which only transition tests are feasible and no working point tests are permitted. It is also suitable for continuous nonlinear process identification. Identifiability and stability of the LPV model are discussed. Simulation studies will be used to verify the effectiveness of the method.

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Robust PSC control design for sinusoidal tracking in uninterruptible power supplies

Robust PSC control design for sinusoidal tracking in uninter...

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2009 Brazilian Power Electronics Conference, COBEP2009

作者： Pereira, Luís Fernando Alves Bonan, Guilherme Thomaz, Guilherme Coutinho, Daniel Ferreira Department of Electrical Engineering Universidade Federal do Rio Grande do Sul Av. Osvaldo Aranha 103 90035-190 Porto Alegre-RS Brazil Group of Automation and Control Systems Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga 6681 90619-900 Porto Alegre-RS Brazil

ISBN: (纸本)9781424433704

This paper proposes an alternative strategy to track sinusoidal reference signals with zero steady state error for Uninterruptible Power Supplies - UPS. A robust Proportional-Sinusoidal-Cosinusoidal (or in short PSC) controller is derived for sinusoidal voltage regulation subject to load variations. The controller parameters are determined by means of a convex optimization problem subject to a set of linear matrix inequalities (LMIs). Simulations and practical experiments demonstrate the potential of the proposed approach for controlling UPS systems. © 2009 IEEE.

关键词： controllers

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Automatic adaptive onset detection using an electromyogram with individual difference for control of a meal assistance robot

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Journal of Medical engineering and Technology 2009年第4期33卷 322-327页

作者： Zhang, X. Wang, X. Wang, B. Sugi, T. Nakamura, M. Department of Automation East China University of Science and Technology Shanghai 200237 China Department of Electrical and Electronic Engineering Saga University Saga 840-8502 Japan Department of Advanced Systems Control Engineering Saga University Saga 840-8502 Japan

The onset detection of muscle activation is an essential issue in electromyogram (EMG) control. In this paper, a novel approach based on EMG power with automatic adaptive threshold is proposed to address this issue. The purpose is to develop an effective EMG-controlled meal assistance robot. Taking into account the individual difference such as contraction power and resting power, the threshold of onset detection is set with respect to the latest EMG signal. The results show the method is able to adjust automatically to avoid false alarms, and works well when the contraction power varies. Implementation of this EMG-controlled meal assistance robot may provide limb-deficient patients with an effective and comfortable human-machine assistance interface.

关键词： Adaptive control systems

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Data Classification for Analyzing Characteristics of Electrocardiogram and Electroencephalogram under Continuous Long-Time Mental Calculation and Rest

Data Classification for Analyzing Characteristics of Electro...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Zhanfeng Ji Takenao Sugi Xingyu Wang Masatoshi Nakamura Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Automation East China University of Science and Technology Shanghai China Research Institute of Systems Control Saga University Saga Japan

ISBN: (纸本)9781424441327

Electrocardiogram (EKG) and Electroencephalogram (EEG) are widely used for kinds of disorders detection. In case of EKG, RR interval series is used for heart rate variability (HRV) analysis, which is a reliable reflection of status of autonomic nervous system. HRV is a function of both physical and mental activity. In order to analyze the influence of metal stress on HRV, EKG signals including information of physical activities should be removed. In case of EEG, the major artifacts are induced by electromyogram (EMG) and electrooculogram (EOG). In order to analyze the influence of metal stress on EEG, the signals which include information of body movement should be removed. In this paper, we present a method to classify EEG and EKG signals, based on body movement estimation and artifacts detection. Long time recording are divided into segments and classified. The results indicate that the data classification method purposed in this paper is effective, and body movement is important for analyzing EKG and EEG.

关键词： Data analysis Electroencephalography Heart rate variability Information analysis Signal analysis Human factors Reflection Autonomic nervous system Electromyography Electrooculography

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Algorithm for very fast computation of Least Absolute Value regression

Algorithm for very fast computation of Least Absolute Value ...

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2009 American control Conference (ACC 2009)

作者： Amin Nobakhti Hong Wang Tianyou Chai Control Systems Centre School of Electrical and Electronics Engineering The University of Manchester Manchester M60 1QD Centre of Automation Northeastern University Shenyang P.R. China

ISBN: (纸本)9781424445233

The Least Squares (LS) problem has been popular in industrial modeling applications due to its speed, efficiency and simplicity. However, the LS solution is known to be unreliable when the data distribution is not Gaussian and is flat-tailed and such data anomalies occur frequently in the industry. The Least Absolute Value (LAV) problem overcomes these difficulties but at the expense of greatly increasing the complexity of the solution. This was partly addressed when it was shown that the LAV problem could be formulated as a Linear Programme (LP). However, the LP formulation is not suitable for implementation in all types of applications. In this paper, a very fast direct search algorithm is developed to solve the general dimension LAV problem using only elementary operations. The algorithm has been shown to be significantly faster than the LP approach through several experiments.

关键词： Least squares methods Industrial control Paper making machines Chemical processes control system synthesis Industrial electronics Computer industry electrical equipment industry Electronics industry automation

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Novel Connection Scheme of Backup Power Supply Adaptive to Distribution Line Non-Communication Protection and New Criterion for High Voltage and Large Capacity Induction Motor

Novel Connection Scheme of Backup Power Supply Adaptive to D...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Kun Liu Xinzhou Dong Zhiqian Bo State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China AREVA T&D Automation슠and Information Systems Stafford UK

This paper presents a new practical backup power supply connection scheme for distribution line non-communication protection (DNCP). Simulation tests have been conducted using the alternate transient program (ATP) with respect to a typical single circuit breaker multi-section system. The results prove that the new scheme is able to not only recover the power supply of loads on healthy lines automatically, but also create disturbances in favor of accelerated over current (AOC) criterion. Aiming at the failure of directional under voltage (DUV) criterion derived from high voltage and large capacity induction motor load, a novel criterion using the increment of reactive power is proposed.

关键词： Emergency power supplies Voltage Induction motors Power system protection Circuit testing Circuit simulation System testing Power system transients Circuit breakers Power supplies

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Approximation-Based Adaptive Tracking control of Pure-Feedback Nonlinear systems with Multiple Unknown Time-Varying Delays

Approximation-Based Adaptive Tracking Control of Pure-Feedba...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Min Wang Shuzhi Sam Ge College of Automation and the Center for Control and Optimization South China University of Technology the Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China the Department of Electrical and Computer Engineering National University of Singapore

This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function of current delayed state, which is effectively free from any restrictive assumption on unknown time-delay functions. The proposed control scheme guarantees the boundedness of all the signals in the closed-loop system and the tracking *** studies are provided to demonstrate the effectiveness of the proposed scheme.

关键词： Lyapunov Approximation-Based Adaptive Tracking control of Pure-Feedback Nonlinear systems with Multiple Unknown Time-Varying Delays

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A novel fingerprint recognition algorithm using 2DPCA and RBFNN

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Journal of Information and Computational Science 2009年第4期6卷 1899-1906页

作者： Ni, Jianyun Xu, Qinmin Lei, Ming Luo, Jing Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin 300191 China School of Electrical Engineering Tianjin University of Technology Tianjin 300191 China School of Computer Science and Technology Tianjin University of Technology Tianjin 300191 China College of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300160 China

Fingerprint recognition algorithm based on minutiae has large computation, slow recognition speed as a result of complex processing, such as image enhance, smooth, binary, and thinning. A novel fingerprint recognition algorithm Using 2DPCA(Two-Dimensional Principal Component Analysis) has been proposed in this paper. Firstly, original images are decomposed into high-frequency and lowfrequency components with the help of Wavelet Transform (WT), and high-frequency components are ignored, so the prime features of original images can be attained. Secondly, the projected features are solved by 2DPCAFinallyfingerprint recognition can be realized by Radial Basis Function Neural Network (RBFNN). The algorithm combines the optimization of the 2DPCA and the adaptability of RBFNN. The experimental results based on FVC2002 have verified that the proposed algorithm has higher robustness to the fingerprint images which has the change of shift and rotation and light than IDFFWNN. © 2009 Binary Information Press.

关键词： Wavelet transforms

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Stability analysis of networked control systems with compensation for data packet dropout

Stability analysis of networked control systems with compens...

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European control Conference (ECC)

作者： L. Zhu X. Lin-Shi J.M. Rétif G. Dai Institut National des Sciences Appliquées de Lyon (INSA Lyon) France Northwestern Polytechnical University China Laboratoire Ampère Lyon France Electrical Engineering Department INSA Lyon Control of electrical engineering systems Ampère Laboratory INSA Lyon France Institute of Network and Control School of Automation Northwestern Polytechnical University

The stability of networked control systems (NCSs) with compensation for data packet dropout is analyzed under a novel model in this paper. This work is the first study for the relationship between the compensated algorithm of data packet dropout and the model of NCSs. A Markov chain model is established to describe the dynamical process of the NCS, which is modeled as a four-event constraint asynchronous dynamical systems (ADS). To compensate the lost packets, a compensator with n-predictor is established. The sufficient conditions for exponential stability of the new model are derived by Lyapunov theory in the form of Linear Matrix Inequalities (LMIs). Numerical example shows the correctness and effectiveness of our analysis.

关键词： Delays Stability analysis Data models Markov processes Numerical models Networked control systems Numerical stability

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Gene Selection of Multiple Cancer Types via Huberized Multi-class Support Vector Machine

Gene Selection of Multiple Cancer Types via Huberized Multi-...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene *** combining the huberized hinge loss function and the elastic net penalty,the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers,thus leading a sparse multi-classifiers with enhanced ***,a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is *** of microarray classification are performed on the leukaemia data set to verify the obtained results.

关键词： Gene selection grouping effect microarray classification solution path support vector machine(SVM)

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