2007 Chinese Control Conference最新文献

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Design of ASVG Controller Based on Variable Structure Neural Network Fuzzy Control 基于变结构神经网络模糊控制的ASVG控制器设计
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347153
Hong Zhennan, Sheng Yifa, Li Zulin, Yang Wujiao
{"title":"Design of ASVG Controller Based on Variable Structure Neural Network Fuzzy Control","authors":"Hong Zhennan, Sheng Yifa, Li Zulin, Yang Wujiao","doi":"10.1109/CHICC.2006.4347153","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347153","url":null,"abstract":"A intelligent integrated control method of double close loop is used for advanced static var generator (ASVG). The outer loop based on traditional PI control and the inner loop based on variable structure neural network fuzzy control are presented. Observed signals are firstly collected to input and output signals of FLC for inner loop, and initial fuzzy rules are fast obtained by fuzzy toolbox of MATLAB. A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules. The result of simulation shows: the method which is applied in ASVG controller can improve comprehensive ability of the controller and strengthen control effect to the power system.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116120309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
2D Real-valued Discrete Gabor Transform and Its Fast Algorithms 二维实值离散Gabor变换及其快速算法
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4346962
Gu Juanjuan, Tao Liang, Luo Bin
{"title":"2D Real-valued Discrete Gabor Transform and Its Fast Algorithms","authors":"Gu Juanjuan, Tao Liang, Luo Bin","doi":"10.1109/CHICC.2006.4346962","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4346962","url":null,"abstract":"A 2D real-valued discrete Gabor transform (RDGT) for image representation is presented in this paper. The Gabor basis functions of the proposed transform are time-shifting windows modulated by cosine waves. Fast algorithms for the computation of the proposed transform coefficients and for the reconstruction of the original image from the coefficients are developed based on 2D discrete cosine transform (DCT). The image coding performance and difference between 2D RDGT and 2D DCT show that the proposed transform is an excellent preprocessing tool for image recognition, image interpretation, texture segmentation, and texture discrimination.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116155757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Sampled-Data Based Average Consensus Control for Networks of Continuous-Time Integrator Agents With Measurement Noises 带有测量噪声的连续时间积分器网络的采样数据平均一致性控制
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347364
Li Tao, Zhang Jifeng
{"title":"Sampled-Data Based Average Consensus Control for Networks of Continuous-Time Integrator Agents With Measurement Noises","authors":"Li Tao, Zhang Jifeng","doi":"10.1109/CHICC.2006.4347364","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347364","url":null,"abstract":"In this paper, sampled-data based average-consensus control is considered for networks consisting of continuous-time first-order integrator agents under a noisy distributed communication environment. The impact of the sampling size and the number of network nodes on the system performances is analyzed. The control input of each agent is based only on the information measured at the sampling instants from its neighborhood rather than the complete continuous process, and the measurement of its neighbors' states are corrupted by communication noises. By probability limit theory and the property of graph Laplacian, it is shown that for a connected network, when the sampling size is sufficiently small, the static mean square error between the individual state and the average initial states of all nodes is arbitrarily small. Furthermore, by choosing properly the consensus gains the almost sure consensus can be achieved. It is worth pointing out that an uncertainty principle of Gaussian networks is obtained, which tells us that in the case of white Gaussian noises, no matter what the sampling size is, the product of the static and transient performance indexes is always equal to or larger than a constant depending on the noise intensity, network topology and the number of network nodes.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123008459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Multi-Plane Electrical Resistance Tomography System Based on Parallel Data Acquisition Strategy 基于并行数据采集策略的多平面电阻层析成像系统
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347245
T. Chao, Dong Feng, W. Binbin
{"title":"Multi-Plane Electrical Resistance Tomography System Based on Parallel Data Acquisition Strategy","authors":"T. Chao, Dong Feng, W. Binbin","doi":"10.1109/CHICC.2006.4347245","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347245","url":null,"abstract":"Electrical Resistance Tomography (ERT) obtains the characteristic of the measured object in opaque containers by measuring the change of the conductivity in the sensing field that established by injecting exciting current into measured cross-section, and reconstructs the section image through certain reconstruction algorithm. The characteristic of this technique is non-intrusive, non-radiant, visualization and etc. Multi-plane ERT system has great prospective in industrial measurement and monitoring, however, the application is restricted by its real-time performance. In this paper, the scheme of new multi-plane ERT system based on parallel data-acquisition system has been proposed. This new system uses digital EO card and high speed A/D transition card to decrease the switch time of measured signal and to improve system performance.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Parameter-dependent robust H∞ model reduction for discrete-time switched polytopic linear systems 离散时间切换多面体线性系统参数相关鲁棒H∞模型约简
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347313
Qiu Jianbin, Feng Gang, Yang Jie
{"title":"Parameter-dependent robust H∞ model reduction for discrete-time switched polytopic linear systems","authors":"Qiu Jianbin, Feng Gang, Yang Jie","doi":"10.1109/CHICC.2006.4347313","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347313","url":null,"abstract":"This paper investigates the problem of parameter-dependent robust H∞ model reduction for a class of discrete-time switched linear systems with polytopic parameter uncertainties. The objective is to design a parameter-dependent homogeneous reduced-order switched system to approximate a given switched polytopic linear system such that the resulting error system is asymptotically stable with a guaranteed H∞ performance γ for any switching rules. Based on a switched parameter-dependent quadratic Lyapunov function (SPDQLF) combined with Finsler's lemma, a novel sufficient condition in terms of a set of linear matrix inequalities (LMIs) for robust H∞ performance analysis is first proposed and in turn the reduced-order models are synthesized. It is shown that by using a new linearization technique incorporating a bounding technique, the matrices for the reduced-order models can be obtained by solving a set of linear matrix inequalities, which are numerically efficient with commercially available software. Finally, a numerical example is provided to illustrate the effectiveness and less conservatism of the proposed approaches.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122177672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fault Diagnosis of Hydro-Generator Unit via GA-Nonlinear Principal Component Analysis Neural Network 基于ga -非线性主成分分析神经网络的水轮发电机组故障诊断
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347059
Ji Qiaoling, Qi Weimin, Cai Weiyou
{"title":"Fault Diagnosis of Hydro-Generator Unit via GA-Nonlinear Principal Component Analysis Neural Network","authors":"Ji Qiaoling, Qi Weimin, Cai Weiyou","doi":"10.1109/CHICC.2006.4347059","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347059","url":null,"abstract":"Based on the complicated relationships between the symptoms and the defects of hydro-generator units, An approach to diagnosing the faults in hydro-generator units via a neural networks combined with genetic algorithm (GA) and nonlinear principal analysis neural network (NLPCA NN) is presented in this paper. At first, both the structure and the connection of the NLPCA NN are optimized by GA. The so called GA-NLPCANN is employed to extract main features from high dimension samples. And then the Bayesian neural network (BNN) is also added to test the final diagnosis performance. Finally, the proposed scheme is applied to diagnose the faults samples of hydro-generator unit and the simulation results have proved the effectiveness of this method.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116808530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
One-class Bearings Fault Detection Model Based on Lyapunov Exponent Spectrum 基于Lyapunov指数谱的一类轴承故障检测模型
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4346976
Tao Xinmin, Du Baoxiang, Xu Yong
{"title":"One-class Bearings Fault Detection Model Based on Lyapunov Exponent Spectrum","authors":"Tao Xinmin, Du Baoxiang, Xu Yong","doi":"10.1109/CHICC.2006.4346976","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4346976","url":null,"abstract":"In order to avoid the practical application problems, abnormal data insufficiency and unavailability, and solve the difficulty of calculating embed dimension and time tag before calculating Lyapunov exponent, an one-class Bearings fault detection model based on genetic algorithm and Lyapunov exponent spectrum is proposed in this paper. The normal training samples are used to decide reconstructed phase space. Then the signals with different conditions will be projected into RPS, the Lyapunov exponent is calculated which is classified as features. The optimum decision threshold values are determined by Genetic Algorithm. The results show that Lyapunov exponent for fault detection is more efficient than for fault diagnosis. In experiment, the performance of detector with largest Lyapunov exponent and Lyapunov exponent spectrum entropy is compared .The results evaluates the effectiveness of the proposed approach. This proposed approach is compared against MLP and other detection techniques. The results show the relative effectiveness of the proposed classifiers in detection of the bearing condition with some concluding remarks.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117009750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis and Modeling of MIMO Networked Control Systems MIMO网络控制系统的分析与建模
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4346898
Wu Cuiqin, L. Aihua, Zhang Zhenren
{"title":"Analysis and Modeling of MIMO Networked Control Systems","authors":"Wu Cuiqin, L. Aihua, Zhang Zhenren","doi":"10.1109/CHICC.2006.4346898","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4346898","url":null,"abstract":"Considering the multi-input and multi-output networked control systems, influences of the controller's driven style on the network-induced delay are discussed. The discrete time model is derived which the sensor nodes are clock-driven, the controller node and the actuator nodes are event-driven. A stochastic optimal controller is designed to satisfy the given discrete performance index, which can also make the networked control systems exponentially mean square stable. A simulation experiment illustrates the effectiveness of the presented theory.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129725468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Neural Network Method for Quantity-quality Prediction in Lead-zinc Sintering Process 铅锌烧结过程数量-质量预测的神经网络方法
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347113
Wu Min, Xu Chenhua
{"title":"A Neural Network Method for Quantity-quality Prediction in Lead-zinc Sintering Process","authors":"Wu Min, Xu Chenhua","doi":"10.1109/CHICC.2006.4347113","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347113","url":null,"abstract":"Based on some features in the lead-zinc sintering process, such as strong non-linearity and a large time delay, a variable-learning-rate-based back propagation neural network (BPNN) is proposed to predict quantity and quality in the sintering agglomeration. First, the factors influencing quantity and quality are determined by analyzing the correlation of operation parameters. Then, the quantity-quality predictive models of agglomerations are established applying a BPNN based on the variable-learning-rate method. Finally, compared with usual BP training algorithm, this algorithm provides a better convergence rate and the obtained quantity-quality predictive models possess a higher accuracy. Actual results show that the proposed predictive method settles the modeling problem of the quantity and quality in the lead-zinc sintering process.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129748093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design and Application for Cruising and Contesting Robot 巡航竞赛机器人的设计与应用
2007 Chinese Control Conference Pub Date : 2006-07-01 DOI: 10.1109/CHICC.2006.4347148
Wang Ming-shun, Shen Mou-quan
{"title":"Design and Application for Cruising and Contesting Robot","authors":"Wang Ming-shun, Shen Mou-quan","doi":"10.1109/CHICC.2006.4347148","DOIUrl":"https://doi.org/10.1109/CHICC.2006.4347148","url":null,"abstract":"Aiming at requirements of the first national undergraduate intelligent car contest we had designed and made a cruising and contesting robot. Through using methods of selecting the power regulator optimized, using a virtual coder to measure the robot speed, recognizing the roadway by a image sensor and process of real time N-1 data compression and offering switching control method to the cruising and contesting robot's control, all they made our the cruising and contesting robot take the tenth in the first national undergraduate intelligent car contest having 112 delegation.","PeriodicalId":110076,"journal":{"name":"2007 Chinese Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129933336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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