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Dynamic anti-windup design for anticipatory activation:enlargement of the domain of attraction

Science China(Information Sciences) 2014年第1期57卷 164-177页

作者： WU XiongJun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain level or in anticipation of its *** the case of static anti-windup compensators,it has been shown that an anti-windup compensator designed for activation in anticipation of actuator saturation would lead to better performance than those designed for immediate or delayed activation could,both in terms of transient performance and the size of the domain of *** recently,it has been shown that a dynamic anti-windup compensator designed for anticipatory activation would also result in better transient performance than those designed for immediate or delayed activation *** this paper,we design dynamic anti-windup compensators for the enlargement of the domain of *** compensators are designed respectively for immediate,delayed and anticipatory *** will show by simulation that a dynamic anti-windup compensator designed for anticipatory activation would result in a larger domain of attraction than a dynamic anti-windup compensator designed for immediate or delayed activation could.

关键词： actuator saturation anti-windup anticipatory activation domain of attraction dynamic com-pensator

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Robust remote tracking control with partly quantized information and packed-dropout 33

Robust remote tracking control with partly quantized informa...

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第三十三届中国控制会议

作者： GE Yang WANG Jingcheng LI Kang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China School of Electronics Electrical Engineering and Computer ScienceQueen’s University Belfast

ISBN: (纸本)9781479947249

This paper mainly discusses the remote tracking problem with partly quantized information and packet-dropout. Since the network exists between the remote plant and the local plant, any information transmitted between each other will experience the quantization errors and may be lost. In this situation, the controller of the local system needs to consider both the exact local information and the inaccurate remote information. A state feedback controller is adopted and the theorems to design such controller are given in terms of bilinear matrix inequalities(BMIs). Moreover, an algorithm is proposed and these BMIs are converted into a convex optimization problem. Finally, the efficiency of the proposed method is demonstrated by a simulation example.

关键词： Networked control systems,robust control,quantized,remote tracking,packet-dropout

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A Novel Online Model for Furnace Exit Gas Temperature of Coal-fired Boiler 33

A Novel Online Model for Furnace Exit Gas Temperature of Coa...

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第三十三届中国控制会议

作者： Liu Zhengfeng Wang Jingcheng Shi Yuanhao Zhang Langwen Li Kang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast

ISBN: (纸本)9781479947249

Furnace exit gas temperature(FEGT) is the key parameter in the furnace ash fouling monitoring system. Since the standard least squares support vector machine(LSSVM) is not suitable for online identification and control of FEGT,a novel CM-LSSVM-PLS method is proposed to predict FEGT in this paper. In the process of CM-LSSVM-PLS method, c-means cluster(CM) algorithm is used to partition the training data into several different subsets by considering the characteristics of operational data. Submodels are subsequently developed in the individual subsets based on LSSVM method. Partial least squares algorithm(PLS) is employed as the combination strategy. The online updating algorithm is then applied to the CM-LSSVM-PLS model. The proposed online model is verified through operation data of a 300 MW generating unit. The simulation results show that the proposed online updating model is effective for online FEGT forecasting.

关键词： Coal-fired boiler Furnace exit gas temperature C-means cluster Least squares support vector machine Partial least squares Online updating

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Dense Invariant Feature Based Support Vector Ranking for Person Re-identification

Dense Invariant Feature Based Support Vector Ranking for Per...

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IEEE Global Conference on Signal and Information processing

作者： Shoubiao Tan Feng Zheng Ling Shao Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Electronic and Electrical Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK Department of Computer Science and Digital Technologies Northumbria University Newcastle upon Tyne NE1 8ST UK

ISBN: (纸本)9781479975921

Recently, support vector ranking has been adopted to address the challenging person re-identification problem. However, the ranking model based on ordinary global features cannot represent the significant variation of pose and viewpoint across camera views. Thus, a novel ranking method which fuses the dense invariant features is proposed in this paper to model the variation of images across camera views. By maximizing the margin and minimizing the error score for the fused features, an optimal space for ranking has been learned. Due to the invariance of the dense invariant features and the fusion of the bidirectional features, the proposed method significantly outperforms the original support vector ranking algorithm and is competitive with state-of-the-art techniques on two challenging datasets, showing its potential for real-world person re-identification.

关键词： Person Re-identification Dense Invariant Feature Support Vector Ranking Feature Fusion

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Effect of channel aging on the sum rate of uplink massive MIMO systems

Effect of channel aging on the sum rate of uplink massive MI...

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IEEE International Symposium on Information Theory

作者： Chuili Kong Caijun Zhong Anastasios K. Papazafeiropoulos Michail Matthaiou Zhaoyang Zhang Institute of Information and Communication Engineering Zhejiang University Hangzhou China National Mobile Communications Research Laboratory Southeast University Nanjing China Communications and Signal Processing Group Imperial College London London U.K Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Electrical Engineering and Computer Science Queen's University Belfast Belfast U.K

ISBN: (纸本)9781467377058

This paper investigates the achievable sum-rate of uplink massive multiple-input multiple-output (MIMO) systems considering a practical channel impairment, namely, aged channel state information (CSI). Taking into account both maximum ratio combining (MRC) and zero-forcing (ZF) receivers at the base station, we present tight closed-form lower bounds on the sum-rate for both receivers, which provide efficient means to evaluate the sum-rate of the system. More importantly, we characterize the impact of channel aging on the power scaling law. Specifically, we show that the transmit power of each user can be scaled down by 1/√(M), which indicates that aged CSI does not affect the power scaling law; instead, it causes only a reduction on the sum rate by reducing the effective signal-to-interference-and-noise ratio (SINR).

关键词： Aging MIMO Receivers Uplink Channel estimation Antennas Training

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A review of super-resolution methods for nonorthogonal analysis of highly correlated signals in noise

A review of super-resolution methods for nonorthogonal analy...

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International Conference on Vehicle and Mechanical engineering and Information Technology, VMEIT 2014

作者： Wei, Shuang Jiang, De Fu Fattouche, Michel Array and Information Processing Laboratory College of Computer and Information Hohai University Nanjing 210098 Jiangsu China Department of Electrical and Computer Engineering University of Calgary Calgary T2N 1N4 AB Canada

ISBN: (纸本)9783038350606

Highly correlated signals exist in many applications of different fields of physics and engineering. But existing techniques for signal estimation and detection are either too complex or do not perform adequately when the observations consist of highly correlated signals in noise. Thus, this paper presents a review of three important super-resolution methods to discuss their characteristics and limitation for extracting the highly correlated signals in noise. © (2014) Trans Tech Publications, Switzerland.

关键词： Optical resolving power

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MULTI-SPECTRAL DOCUMENT IMAGE BINARIZATION USING IMAGE FUSION AND BACKGROUND SUBTRACTION TECHNIQUES

MULTI-SPECTRAL DOCUMENT IMAGE BINARIZATION USING IMAGE FUSIO...

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IEEE International Conference on Image processing

作者： Nikolaos Mitianoudis Nikolaos Papamarkos Image Processing and Multimedia Laboratory Department of Electrical and Computer Engineering Democritus University of Thrace

ISBN: (纸本)9781479957521

In this paper, the authors exploit a multispectral image representation to perform more accurate document image binarisation compared to previous color representations. In the first stage, image fusion is employed to create a "document" and a "background" image. In the second stage, the FastICA algorithm is used to perform background subtraction. In the third stage, a spatial kernel K-harmonic means classifier binarizes the FastICA output. The proposed system outperforms previous efforts on document image binarization.

关键词： Document Image Binarization Image Fusion Multi-spectral imaging Independent Component Analysis

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Expectation propagation approach to joint channel estimation and decoding for OFDM systems

Expectation propagation approach to joint channel estimation...

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2014 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2014

作者： Wu, Sheng Kuang, Linling Ni, Zuyao Lu, Jianhua Huang, Defeng David Guo, Qinghua Department of Electronic Engineering Tsinghua University China Tsinghua Space Center Tsinghua University China Research Institute of Information Technology Tsinghua University China Shenzhen Key Laboratory of Wireless Broadband Communication and Signal Processing China School of Electrical Electronic and Computer Engineering University of Western Australia Australia School of Electrical Computer and Telecommunications Engineering University of Wollongong Australia

ISBN: (纸本)9781479928927

We propose a message-passing algorithm of joint channel estimation and decoding for OFDM systems, where expectation propagation is exploited to deal with channel estimation. Specially, the message updating is formulated into a recursive form. As a result, for system with K subcarriers and L channel taps, only O(K + L) messages need to be tracked, and meanwhile they can be efficiently calculated using FFT with complexity O(K-A- + K log2 K), where -A- denotes the constellation size. Numerical experiments show that our algorithm achieves BER performance within 0.5 dB of the known-channel bound. © 2014 IEEE.

关键词： Orthogonal frequency division multiplexing

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PHYSIOLOGICALLY-MOTIVATED FEATURE EXTRACTION FOR SPEAKER IDENTIFICATION

PHYSIOLOGICALLY-MOTIVATED FEATURE EXTRACTION FOR SPEAKER IDE...

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IEEE International Conference on Acoustics, Speech and Signal processing

作者： Jianglin Wang Michael T. Johnson Speech and Signal Processing Laboratory Department of Electrical and Computer Engineering Marquette University Milwaukee USA

ISBN: (纸本)9781479928941

This paper introduces the use of three physiologically-motivated features for speaker identification, Residual Phase Cepstrum Coefficients (RPCC), Glottal Flow Cepstrum Coefficients (GLFCC) and Teager Phase Cepstrum Coefficients (TPCC). These features capture speaker-discriminative characteristics from different aspects of glottal source excitation patterns. The proposed physiologically-driven features give better results with lower model complexities, and also provide complementary information that can improve overall system performance even for larger amounts of data. Results on speaker identification using the YOHO corpus demonstrate that these physiologically-driven features are both more accurate than and complementary to traditional mel-frequency cepstral coefficients (MFCC). In particular, the incorporation of the proposed glottal source features offers significant overall improvement to the robustness and accuracy of speaker identification tasks.

关键词： speaker recognition Cepstrum Loudspeakers Feature extraction Mel frequency cepstral coefficient Complementary System performance trisphenylcarbamoylcellulose

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Recursive Automatic Target Generation Process for Unsupervised Hyperspectral Target Detection

Recursive Automatic Target Generation Process for Unsupervis...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Cheng Gao Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland

ISBN: (纸本)9781479953141

Automatic target generation process (ATGP) has been found very useful and effective for unsupervised target detection. It performs a sequence of orthogonal subspace projection to extract potential targets of interest. One major issue arises in ATGP is how to terminate the algorithm in the sense that how many targets are required for ATGP to generate before it is terminated. This paper presents a recursive version of ATGP, referred to as recursive ATGP (RATGP) which has two advantages. One is no need of inverting any matrix as ATGP does for finding each target. Most importantly, a stopping rule can be derived for ATGP via RATGP is also developed using the Neyman-Pearosn detection theory to determine how many targets needed to be generated by RATGP before it is terminated.

关键词： Automatic target generation process (ATGP) Recursive ATGP (RATGP)

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