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World Congress on Intelligent control and Automation (WCICA)

作者： Wenjun Huang Weimin Wang Hui Xu National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang Supcon Technology Company Limited Zhejiang University Hangzhou China

Real-time database applied in process industry requests the performance of mass data and high speed. So the process data in database must be compressed effectively and reliably. According to process data characteristic, a lossless compression algorithm was designed based on LZW algorithm and RLE algorithm. The compression algorithm first classified process data by characteristic, and then different compression methods were designed for all kinds of data. In order to increase compression radio, pretreatment approaches were implemented before compression. The compression algorithm solved the difficulties of low compression radio and compression speed. Performance test shows that this algorithm obviously improved the real-time performance and efficiency when accessing the process database. It will be widely applied in MES and PCS

关键词： Data compression Databases Compression algorithms Algorithm design and analysis Real time systems Automation industrial control control systems Costs Laboratories

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Integration of RFID into Wireless Sensor Networks: Architectures, Opportunities and Challenging Problems

Integration of RFID into Wireless Sensor Networks: Architect...

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International Conference on Grid and Cooperative Computing Workshops (GCCW)

作者： Lei Zhang Zhi Wang National Laboratory of Industrial Control Technology Institute of Industry Process Control University of Zhejiang Hangzhou China

The vision of pervasive computing is based on the idea that computers merge with their environment. Radio frequency identification (RFID) and wireless sensor network (WSN) are two important components of pervasive computing, since both technologies can be used for coupling the physical and the virtual world. However, RFID and WSN almost are under development in parallel method, few integration schemes and related opportunities are investigated in detail. Through deep analysis of RFID and WSN, three forms of new system architecture that combines the two technologies are proposed and its feasibility, technical challenges are discussed thoroughly

关键词： Radiofrequency identification Wireless sensor networks Pervasive computing Intelligent sensors Base stations Computer architecture industrial control Bridges Protocols Batteries

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Normal and hypoxia EEG recognition based on a chaotic olfactory model

Normal and hypoxia EEG recognition based on a chaotic olfact...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Hu, Meng Li, Jiaojie Li, Guang Tang, Xiaowei Freeman, Walter J. Department of Physics Zhejiang University Hangzhou 310027 China Hangzhou Sanitarium of PLA Airforce Hangzhou 310013 China National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang University Hangzhou 310027 China Division of Neurobiology University of California at Berkeley LSA 142 Berkeley CA 94720-3200 United States

ISBN: (纸本)3540344829

The Kill model of the chaotic dynamics of the olfactory system was designed to simulate pattern classification required for odor perception. It was evaluated by simulating the patterns of action potentials and EEG waveforms observed in electrophysiological experiments. It differs from conventional artificial neural networks in relying on a landscape of chaotic attractors for its memory system and on a high-dimensional trajectory in state space for virtually instantaneous access to any low-dimensional attractor. Here we adapted this novel neural network as a diagnostic tool to classify normal and hypoxic EEGs. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Biomedical engineering

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Face recognition based on fussy support vector clustering

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Journal of Computational Information Systems 2006年第2期2卷 733-738页

作者： Yang, Min Wang, Yigang Zheng, Enhui Tong, Mengjun Computer School Hangzhou Dianzi University Hangzhou 310018 China National Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China

Currently a novel support vector clustering (SVC) algorithm is presented by Ben-Hur. It generates cluster boundaries with arbitrary shape. This utilizes a prior maximal and allows rejection rate to control the number of the clusters rather than directly assigning the number of clusters. However, the SVC algorithm faces the same over-fitting problem as SVM caused by outliers or noises. In this paper, a fuzzy support vector clustering (FSVC) algorithm is presented to deal with the problem. A membership model based on support vector data description (SVDD) is proposed. This is used to determine the membership value of training samples. The proposed fuzzy support vector clustering algorithm is used to determine the clusters of faces. Experimental results indicate that the proposed algorithm reduces the effect of outliers and yields better clustering quality than SVC does.

关键词： Face recognition

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On the Dual of a Mixed H_2/l_1 Optimisation Problem

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International Journal of Automation and computing 2006年第1期3卷 91-98页

作者： Jun Wu Jian Chu Sheng Chen National Key Laboratory of Industrial Control TechnologyInstitute of Advanced Process Control Zhejiang University Hangzhou 310027 PRC School of Electronics and Computer Science University of Southampton Highfield Southampton SO17 IBJ UK

The general discrete-time Single-Input Single-Output （SISO） mixed H2/l1 control problem is considered in this paper. It is found that the existing results of duality theory cannot be directly applied to this infinite dimension optimisation problem. By means of two finite dimension approximate problems, to which duality theory can be applied, the dual of the mixed H2/l1 control problem is verified to be the limit of the duals of these two approximate problems.

关键词： Optimal control mixed H2/l1 control duality theory.

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Classification of Normal and Hypoxia EEG Based on Approximate Entropy and Welch Power-Spectral-Density

Classification of Normal and Hypoxia EEG Based on Approximat...

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International Joint Conference on Neural Networks (IJCNN)

作者： Meng Hu Jiaojie Li Guang Li Xiaowei Tang Qiuping Ding Department of Physics University of Zhejiang Hangzhou China Hangzhou Sanitarium of PLA Airforce Hangzhou China National Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China

This paper reports a novel method to classify EEGs from subjects under normal and hypoxia conditions, which provides a potential efficient indicator to evaluate hypoxia in real time. The EEG data are collected from 3 healthy subjects while their neurobehaviors are evaluated to assess the degree of hypoxia. Together with Approximate entropy (ApEn), the specific energy in a sub-band of 30-60 Hz of the Welch power-spectral-density (PSD) is extracted as the features. Bayesian classifier, 3-layer perceptron established by back-propagation and SVM are utilized for classification, respectively. The accuracy of Bayesian classifier is over 90.8% on test set. We compared the performance in terms of changing the architecture of the net. The accuracy of BP network reaches 94.2% on test set. Meanwhile, a SVM with Polynomial kernel revealed an accuracy over 92.5% on the test set. The experimental results show that the hypoxia EEG can be distinguished from normal one for individuals remarkably.

关键词： Electroencephalography Entropy Testing Bayesian methods Support vector machines Support vector machine classification Data mining Feature extraction Polynomials Kernel

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Optimal controller Realisations with the Smallest Dynamic Range

Optimal Controller Realisations with the Smallest Dynamic Ra...

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IEEE Conference on Decision and control

作者： Jun Wu Sheng Chen Gang Li Jian Chu National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China School of Electronics and Computer Science University of Southampton UK School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)1424401704;9781424401703

An approach is proposed to design optimal finite word length (FWL) realisations of digital controllers implemented in fixed-point arithmetic. A minimax-based search procedure is first used to obtain an optimal controller realisation that optimises an FWL closed-loop stability measure. Since this FWL closed-loop stability measure is solely linked to the fractional part or precision of fixed-point format, the resulting realisation may not have the smallest dynamic range. A measure is derived to indicate the dynamic range of a realisation. Based on an orthogonal transformation of this dynamic range measure for the optimal precision controller realisation, a numerical optimisation method is developed to make the controller realisation having the smallest dynamic range without sacrificing FWL closed-loop stability robustness

关键词： Optimal control Dynamic range Robust stability Digital control Robust control USA Councils Fixed-point arithmetic Optimization methods Design optimization Laboratories

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Research on Automatic Differentiation and the Application to Distillation Column Optimization

Research on Automatic Differentiation and the Application to...

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World Congress on Intelligent control and Automation (WCICA)

作者： Zheng Xiaoqing Shao Zhijiang Institute of Systems Engineering National Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

Automatic differentiation is the approach of differentiation without truncation error introduced. In this paper, two ways of automatic differentiation based on source transformation and operator overloading are investigated and applied to the optimization of distillation column. After comparing with the traditional finite difference method, the result proves the automatic differentiation approach based on source transformation the highest efficient in the optimization

关键词： Distillation equipment MATLAB Quadratic programming Systems engineering and theory industrial control Finite wordlength effects Finite difference methods Optimization methods Intelligent control Automation

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An Extended RSQP Algorithm for process Systems

An Extended RSQP Algorithm for Process Systems

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World Congress on Intelligent control and Automation (WCICA)

作者： Xueyi Fang Zhijiang Shao Aipeng Jiang Jixin Qian Institute of Systems Engineering National Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

In process systems there are many large-scale problems with large numbers of equality constraints, but their degrees of freedom are not small enough. To solve this kind of problems, an extended RSQP (reduced space sequential quadratic programming) algorithm was presented. In the extended RSQP, reduced space Hessian and the cross item were expressed and computed by limited memory method, so the memory needed to store these matrixes were reduced largely, Moreover, to avoid the storage of matrix C - 1 N, zero space coordinate was expressed implicitly, and rules for basis selection were replaced by a heuristic basis selection strategy. Performance of the new algorithm was test by several variable large-scale problems and two real cases. Computational results demonstrate that the new algorithm can largely reduce computing time and storage required

关键词： Quadratic programming Space technology Large-scale systems Storage automation Systems engineering and theory Laboratories industrial control Testing Intelligent control Lagrangian functions

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A Density-Based Energy-Effective Routing for Sensor Networks

A Density-Based Energy-Effective Routing for Sensor Networks

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World Congress on Intelligent control and Automation (WCICA)

作者： Jin Zhang Guang Li Software College Hunan University Changsha China Department of Biomedical Engineering University of Zhejiang Hangzhou China National Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China

Considering the character of very high density of nodes in sensor network, a novel routing algorithm is proposed based on density-controlled and the structure of grid. The algorithm constructs the suitable grid. Then, the density of nodes is controlled to the appropriate range. The redundant nodes will stop working and sleep until the right time to wake up to replace died working nodes. Theoretic analysis and simulation results show that the algorithm has better performances

关键词： Wireless sensor networks Capacitive sensors Biosensors Algorithm design and analysis Routing protocols Clustering algorithms Biomedical engineering Educational institutions Laboratories industrial control

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