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2008 7th World Congress on Intelligent Control and Automation最新文献

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Dynamic Hybrid Automatic Voltage Control of the power system 电力系统的动态混合自动电压控制
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2011-10-01 DOI: 10.1109/APAP.2011.6180678
Wei Hu, Fei Xu, K. Hou, S. Mei
{"title":"Dynamic Hybrid Automatic Voltage Control of the power system","authors":"Wei Hu, Fei Xu, K. Hou, S. Mei","doi":"10.1109/APAP.2011.6180678","DOIUrl":"https://doi.org/10.1109/APAP.2011.6180678","url":null,"abstract":"According to the dynamic voltage security control, the concept and method of the hybrid control system are introduced, and the dynamic hybrid automatic voltage control (D-HAVC) system is realized. The hybrid hierarchical control system model based on the hybrid theory is set up firstly. In the modelpsilas high layer, the power systempsilas differential-algebraic-equations are linearized, and the eigen-matrixpsilas minimum amplitude eigenvalue (MAE) is used to judge the power systempsilas voltage security. Through this way, the discrete events are formed and used to drive the control block. In the modelpsilas middle layer, under the discrete event driving, the control values of the control buses are calculated with the sensitivity method, and are formed as the control strategy through the interface block. The control equipment in the bottom layer receives the control strategies and perform them, and the closed automatic voltage control is achieved. Computer simulation comparisons with secondary voltage control (SeVC) have proved the solution effective in realizing D-HAVC system.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143361","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
The model of grey periodic incidence and their rehabilitation 灰色周期事件模型及其修复
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-10-01 DOI: 10.1109/ICSMC.2008.4811647
Hongyun Du, Hongxing Shi, Chuanping Song, Yong Zhao
{"title":"The model of grey periodic incidence and their rehabilitation","authors":"Hongyun Du, Hongxing Shi, Chuanping Song, Yong Zhao","doi":"10.1109/ICSMC.2008.4811647","DOIUrl":"https://doi.org/10.1109/ICSMC.2008.4811647","url":null,"abstract":"Grey incidence model determines the closeness degree from the closeness and similarity of statistical sequencepsilas geometrical form. Traditional grey incidence model calculates statistical sequencepsilas correlation degree from the perspectives of its acreage, slope, changing velocity, etc. These incidence models have dual influences exerted by horizontal and vertical coordinates. Subsequently, inference of other factors occurs when we analyze the relationship between statistical sequencepsilas individual factors. To overcome this limitation, the author puts forward the periodic correlation model and draws the conclusion that the model is in reference to the fluctuation period of the wave, but is independent of its swing, and that it can show the positive-negative relevance. This model is then applied to carry out a research into the periodical relationship between GDP and residential consumption, which comes out to be an effective one.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127026031","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: 18
Exponential stability of solution for the Kuramoto-Sivashinsky equation Kuramoto-Sivashinsky方程解的指数稳定性
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4594318
Qimin Zhang
{"title":"Exponential stability of solution for the Kuramoto-Sivashinsky equation","authors":"Qimin Zhang","doi":"10.1109/WCICA.2008.4594318","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594318","url":null,"abstract":"In this paper, we discuss the exponential stability, for a class of stochastic Kuramoto-Sivashinsky equation. The analyses consist of using Ito formula, Burkholder-Davis-Gundy inequality, Gronwall lemma and the criteria is also obtained for the exponential stability.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117039396","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
Research on methods-fusion decision technology of the key-client evaluation for urban logistics company 城市物流企业关键客户评价方法融合决策技术研究
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4594372
Hongzhao Dong, Fengyu Yang, Mingfei Guo
{"title":"Research on methods-fusion decision technology of the key-client evaluation for urban logistics company","authors":"Hongzhao Dong, Fengyu Yang, Mingfei Guo","doi":"10.1109/WCICA.2008.4594372","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594372","url":null,"abstract":"Commonly the current 3rd party urban logistics companies lack of mature historical data and a proper decision method to evaluate the key client in China. An individual decision method appears a certain shortage correspondingly. To solve the issue, a novel method, methods-fusion style decision technology based on D-S evidence theory is proposed to evaluate the key client of those companies. A practical comprehensive decision support system was developed by the fusion of several methods including statistic, forecasting and clustering. Eventually, the experiment demonstrated that the methods-fusion style decision technology could adapt to the current 3rd logistics company and shows to be more robust and accurate than just a single decision method.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178703","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
Form analysis and understanding based on knowledge 在知识的基础上形成分析和理解
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4594401
Xiuling He, Yang Yang, Zengzhao Chen, Ying Yu, Cailin Dong
{"title":"Form analysis and understanding based on knowledge","authors":"Xiuling He, Yang Yang, Zengzhao Chen, Ying Yu, Cailin Dong","doi":"10.1109/WCICA.2008.4594401","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594401","url":null,"abstract":"Forms are different from common documents and more difficult to process. It is not very well done if processed by traditional document analyzing technology. The purpose of this thesis is to research on the key technologies of form analysis and understanding aiming at forms which are multi-type, large quantity, noisy, and variety of paper quality used by bank and revenue in our country. Based on analyzing knowledge of forms, a model of form based on object-orient sorting tree knowledge base and triple node representation is put forward. As for form feature extraction, hierarchical regulated hit or miss transform (HRHMT) is proposed. Feature extraction algorithm is also given. The algorithm is proved to be feasibility theoretically. Analysis on theoretical complexity and experiments shows their efficiency and superiority.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125550318","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
Ship course steering predictive control based on RBF neural network 基于RBF神经网络的船舶航向预测控制
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4594199
Xu Zhang, Chen Guo, Guang Ye
{"title":"Ship course steering predictive control based on RBF neural network","authors":"Xu Zhang, Chen Guo, Guang Ye","doi":"10.1109/WCICA.2008.4594199","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594199","url":null,"abstract":"Because the ship steering control is uncertain, nonlinear and time-varying. A predictive control algorithm based on RBF neural network is adopted to the ship steering control. Recursive k-means clustering algorithm and recursive least squares algorithm are used to adjust the RBF neural network. And clonal selection algorithm is used in predictive control algorithm to ensure the global optimal solution. The simulation results show that the predictive control algorithm based on RBF neural network possesses good control performance and strong robustness.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123871231","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
Fuzzy variable structure control for buildings 建筑物模糊变结构控制
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4593619
Zhijun Li, Z. Deng, Zhiping Gu
{"title":"Fuzzy variable structure control for buildings","authors":"Zhijun Li, Z. Deng, Zhiping Gu","doi":"10.1109/WCICA.2008.4593619","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593619","url":null,"abstract":"In this paper, a new variable structure control method involving fuzzy adaptive regulation of reaching law is presented for seismically-excited building structures. The undue chattering effect, the major disadvantage of conventional variable structure controllers, has been avoided by introducing this new method without losing the robustness against parametric uncertainties and modelling inaccuracies. Finally we give numerical simulations for MDOF (Multiple-Degree-of-Freedom) shear building model containing an active brace system; and the simulation results show preliminarily that the new control method is quite effective: not only can it reduce the peak response of the ground motion, but also it can keep the chattering effect sufficiently low so as to ensure the system stable.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128905455","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
Fuzzy logic based auto-modulation of parameters PI control for active power filter 基于模糊逻辑的有源滤波器参数自调制PI控制
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4593780
Yu Chen, Bo Fu, Qionglin Li
{"title":"Fuzzy logic based auto-modulation of parameters PI control for active power filter","authors":"Yu Chen, Bo Fu, Qionglin Li","doi":"10.1109/WCICA.2008.4593780","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4593780","url":null,"abstract":"The characteristics of the error signal and the sensitive trait to the object of PI control limit the application of conventional PI control in the active power filter(APF). In order to overcome these disadvantages, a novel PI control strategy is proposed in this paper. Firstly, we improved the conventional PI control strategy by using the method of phasor superposition. Secondly, we combine it with fuzzy logical to realize the online modulation of parameters of PI control. Finally, a hybrid controller based on phasor superposition and fuzzy logical is designed and applied to the APF. The experiment results revealed that the controller is valid and feasible.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801460","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: 9
Small humanoid robot localization by landmarks 小型人形机器人的地标定位
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4594571
Ching-Chih Tsai, Taiyu Wang
{"title":"Small humanoid robot localization by landmarks","authors":"Ching-Chih Tsai, Taiyu Wang","doi":"10.1109/WCICA.2008.4594571","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594571","url":null,"abstract":"This paper presents an academic prototype small humanoid robot with vision-system to achieving the posture estimation. With the on-board personal digital assistant (PDA) to in charge of the image processing and then recognize its surroundings. According to the information of the image data from the PDA-based real-time image sensor, the Nios-based motor control chip is employed to achieve the desired motions, including forward walking, backward walking and turning. To navigate the robot, a triangulation method with a CCD camera with three artificial color landmarks is used to determine the robotpsilas posture using the on-board PDA. An extended Kalman filter (EKF) algorithm is employed to improve estimation accuracy of the humanoid robot. Computer simulation and experiment results are conducted to verify the efficacy of the proposed method.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073634","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
Image segmentation based on two-dimensional histogram and the Geese particle swarm optimization algorithm 基于二维直方图和Geese粒子群优化算法的图像分割
2008 7th World Congress on Intelligent Control and Automation Pub Date : 2008-08-08 DOI: 10.1109/WCICA.2008.4594008
A. Fu, Xiu-juan Lei
{"title":"Image segmentation based on two-dimensional histogram and the Geese particle swarm optimization algorithm","authors":"A. Fu, Xiu-juan Lei","doi":"10.1109/WCICA.2008.4594008","DOIUrl":"https://doi.org/10.1109/WCICA.2008.4594008","url":null,"abstract":"Image segmentation is a key part in image processing fields. The image segmentation method based on maximum entropy thresholding and two-dimensional histogram has many advantages, but it requires a large amount of computing time. To solve this problem, the Geese-LDW-PSO algorithm was introduced in this paper. Here, the Geese-LDW-PSO which was inspired by the wild geese group was the particle swarm optimization attached with linear descend inertia weight. First, the Geese-LDW-PSO was used to seek the optimal threshold value of a picture adaptively in the two-dimensional gray space. Then, the picture was segmented with the optimal threshold value which had been gotten. The simulation results showed that the Geese-LDW-PSO algorithm performed better in the segmentation of a vehicle brand image.","PeriodicalId":377192,"journal":{"name":"2008 7th World Congress on Intelligent Control and Automation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125980005","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
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