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IEEE International Conference on systems, Man and Cybernetics

作者： Yonghui Fang Minyou Chen Robert F Harrison State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China School of Electronic and Information Engineering Southwest University Chongqing China Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK

The Common Spatial Patterns (CSP) algorithm is useful for calculating spatial filters for detecting event-related desynchronization (ERD) for use in ERD-based brain-computer interfaces (BCIs). However, basic CSP is a supervised algorithm suited only to two-class discrimination; it is unable to solve multiclass discrimination problems. This paper proposes a new method named the binary common spatial patterns (BCSP) algorithm to extend the basic CSP method to multi-class recognition. Our method arranges the spatial filters and Fisher classifiers in the form of a binary tree whereby N - 1 spatial filters and N - 1 Fisher classifiers are calculated for N class recognition. This is fewer than must be calculated in other methods (e.g. one-versus-rest, OVR). This makes the overall classification procedure less redundant. Simulation results show that BCSP has better performance than the OVR scheme and outperforms the three best teams in the 2008 BCI-competition.

关键词： Spatial filters Arrays Feature extraction Electroencephalography Band pass filters Covariance matrix Filtering algorithms

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Sensor robust fault-tolerant guaranteed design for nonlinear networked control system based on T-S model

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2011年第SUPPL. 2期35卷 206-212页

作者： Wang, Jun Li, Wei Li, Zhan-Ming College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Key Laboratory of Advanced Control for Industrial Process in Gansu Province Lanzhou 730050 China

In an uncertain nonlinear networked control system(NNCS) with the influence on delay and packet loss, a robust fault-tolerant guaranteed controlled sufficient condition of system, which is delay-dependent approach, is deduced by constructing an appreciate Lyapunov-Krasovskii function based on T-S fused model. control gain can be obtained via iterative optimization algorithm of solving several nonlinear matrix inequalities(NLMI). In this paper, we consider the lower bound of the time-delay and do not make the model transformation, also free matrixes in integral inequalities ensure that the useful information is not be magnified and ignored. All of these obtain a less conservative result. Finally, an example is used to illustrate the effectiveness and feasibility of the proposed approach.

关键词： Networked control systems

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Generating Li-Yorke chaos in a stable continuous-time T-S fuzzy model via time-delay feedback control

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Chinese Physics B 2010年第7期19卷 141-149页

作者：孙秋野张化光赵琰 College of Information Science and Engineering Northeastern University Key Laboratory of Integrated Automation of Process Industry Ministry of EducationNortheastern University Department of Automatic Control Engineering Shenyang Institute of Engineering

This paper investigates the chaotification problem of a stable continuous-time T S fuzzy system. A simple nonlinear state time-delay feedback controller is designed by parallel distributed compensation technique. Then, the asymptotically approximate relationship between the controlled continuous-time T-S fuzzy system with time-delay and a discrete-time T-S fuzzy system is established. Based on the discrete-time T-S fuzzy system, it proves that the chaos in the discrete- time T-S fuzzy system satisfies the Li-Yorke definition by choosing appropriate controller parameters via the revised Marotto theorem. Finally, the effectiveness of the proposed chaotic anticontrol method is verified by a practical example.

关键词： chaotification T-S fuzzy model time-delay feedback Li Yorke chaos 1

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Fuzzy H∞ Filtering for Nonlinear Singularly Perturbed systems with Time-varying Delay

Fuzzy H∞ Filtering for Nonlinear Singularly Perturbed Syste...

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2011 Eighth International Conference on Fuzzy system and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

作者： Yaping Li JinXiang Chen Lixia Meng MeiYun He Beijing Information Technology College Beijing 100015 P. R.China State Key Laboratory of Hybrid Process Industry Automation System and Equipment Technology Automati Department of Computer Science and Technology Tsinghua University Beijing 100084 P.R.China Department of mechanism Army Aviation college Beijing 100123 P.R.China

This paper investigates the problem of designing fuzzy H∞ filter for a class of nonlinear singularly perturbed systems (SPSs) with time-varying delay in states. The considered system is approximated by a Takagj-Sugeno (T-S) fuzzy model. By using linear matrix inequality (LMI) methods, we give a eindependent sufficient condition for the existence of fuzzy H∞ filter such that, the resulting filtering error system is globally stable with guaranteed H∞ performance for sufficiently small e. The gains of filter are obtained by solving a set of e-independent LMIs, and therefore the ill-conditioned problem caused by e can be easily avoid. The proposed method can be applied to both standard and nonstandard nonlinear SPSs. A numerical example is provided to illustrate the effectiveness of the developed method.

关键词： Delay Robustness Fuzzy systems Symmetric matrices Automation Educational institutions Output feedback

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Improvement of a radar signal processing system for burden surface measurement in a blast furnace

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第2期33卷 215-220页

作者： Chen, Xian-Zhong Yin, Yi-Xin Hou, Qing-Wen Li, Xiao-Li Ma, Jian Wang, Meng School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control for Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

Metallurgical radar was developed which can be used in high temperature and hash production environments. It adopted an improved frequency-modulated continuous wave principle and enhanced the real-time performance of solid material level measurement. An intelligent time-varying threshold signal processing method was proposed to solve the radar ranging accuracy problem caused by the change of solid material surface reflection coefficient in a blast furnace. Measurement results in a solid-powder state material surface simulation environment in the laboratory shows that the measurement tracking delay of the metallurgical radar is within 0.2 s, and the maximum average tracking error is less than 0.05%. Field test results show that the average measurement error is 0.95%, indicating that the metallurgical radar is capable of stable material surface tracking in real-time and can meet the requirements of BF monitoring.

关键词： Blast furnaces

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Electromagnetic characteristic simulation of burden surface radar measurements in the BF closed environment

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第1期33卷 87-92页

作者： Chen, Xian-Zhong Yin, Yi-Xin Hou, Qing-Wen Lu, Yi-Fang Wang, Pei-Yuan Li, Min School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control for Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

Microwave electromagnetic characteristics in radar measurements of burden surfaces and media thickness of an ore and coke (O/C) layer were researched in the closed environment of a blast furnace (BF). With electromagnetic calculations and CST simulation software, a dielectric constant model of the media layer was developed to study the transmission, reflection and absorption characteristics of the burden surface and the O/C layer in BF. Also a reconstruction relational model of the number of distributing O/C layers in BF, microwave angle and frequency band concerned with the dielectric constant of the media layer was established. Using transmission and reflection electromagnetic characteristics of radar waves, combining with BF radar distributed radar sensor array installation and the different dielectric constants of the O/C layer in BF, the three-dimensional reconstruction imaging of burden surfaces and O/C layer thickness in BF was realized on-line.

关键词： Blast furnaces

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Predicted control for strip thickness based on information fusion

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第3期33卷 358-362页

作者： Peng, Kai-Xiang Lai, Chun-Shan School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

A state-space model of the control system in hot continuous rolling was proposed by using a recursive least squares algorithm by linearizing and discretizing the rolling force and thickness control equations. After an optimal information fusion algorithm based on Kalman filtering was presented, an asynchronous information fusion estimation algorithm was built for the complex multi-variable system of hot continuous rolling. This model was applied into the prediction of strip thickness and plasticity coefficient Q in the hot continuous rolling process. At last, the real-time forecast results of the coming strip thickness and plasticity coefficient of strips were synthetically utilized in the thickness control system of hot continuous rolling to improve the quality of final coming strip thickness.

关键词： information fusion

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Robust filtering for networked systems with random transmission delays and packet dropouts

Robust filtering for networked systems with random transmiss...

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作者： Cai, Yunze Wang, Hua O. Tanaka, Kazuo Xu, Xiaoming Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing 800 Dongchuan Rd. Shanghai 200240 China Department of Mechanical Engineering Boston University Boston MA 02215 United States Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo 182-8585 Japan Department of Automation Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai 200240 China University of Shanghai for Science and Technology 16 Jun Gong Rd. Shanghai 200093 China

ISBN: (纸本)9781457700804

This paper addresses a robust H∞ filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H∞ constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method. © 2011 AACC American Automatic control Council.

关键词： Linear matrix inequalities

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A branch convergence approach to distributed dynamic service composition

A branch convergence approach to distributed dynamic service...

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International Conference on Advanced Computer Theory and Engineering

作者： Ma, Lin Zhu, Ming Wang, Lei Department of Electronic Engineering and Information Science Key Laboratory of Network Communication System and Control CAS Hefei China Department of Automation Key Laboratory of Network Communication System and Control CAS Hefei China

ISBN: (纸本)9781424465408

Web Service composition is a very promising way to generate new services on service oriented architecture (SOA). It will come across subsequent branch convergence problem when implementing parallel process in the distributed environment, which is some parallel branches can't converge at one executive node. In this paper, we introduce a Branch Convergence Approach based on Common Node (BCACN) to solve this problem. A common node which is chosen before branches converging, make a decision to choose a convergent node, such that all subsequent branches can merge into an executive node. Experimental studies demonstrate the effectiveness of the proposed approach. © 2010 IEEE.

关键词： information services

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KPCA Based Multi-Spectral Segments Feature Extraction and GA Based Combinatorial Optimization for Frequency Spectrum Data Modeling

KPCA Based Multi-Spectral Segments Feature Extraction and GA...

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IEEE Conference on Decision and control

作者： Jian Tang Tianyou Chai Wen Yu Lijie Zhao S. Joe Qin State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Shenyang China Departamento de Control Automatico CINVESTAV-IPN Mexico City Mexico College of Information Engineering Shenyang University of Chemical Technology China The Mork Family Department of Chemical Engineering and Materials Science Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA 90089

ISBN: (纸本)9781612848006

Mill load (ML) estimation plays a major role in improving the grinding production rate (GPR) and the product quality of the grinding process. The ML parameters, such as mineral to ball volume ratio (MBVR), pulp density (PD) and charge volume ratio (CVR), reflect the load inside the ball mill accurately. The relative amplitudes of the high-dimensional frequency spectrum of shell vibration signals contain the information about the ML parameters. In this paper, a kernel principal component analysis (KPCA) based multi-spectral segments feature extraction and genetic algorithm (GA) based Combinatorial optimization method is proposed to estimate the ML parameters. Spectral peak clustering algorithm based knowledge is first used to partition the spectrum into several segments with their physical meaning. Then, the spectral principal components (PCs) of different segments are extracted using KPCA. The candidate input features are serial combinated with mill power. At last, GA with Akaike's information criteria (AIC) is used to select the input features and the parameters for the least square-support vector machine (LS-SVM) simultaneously. Experimental results show that the proposed approach has higher accuracy and better predictive performance than the other normal approaches.

关键词： Vibrations Feature extraction Sensors Acoustics Optimization Kernel Support vector machines

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