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2006 6th World Congress on Intelligent Control and Automation最新文献

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Decentralized Robust H∞Output Feedback Control for Value Bounded Uncertain Large-scale Interconnected Systems 值有界不确定大型互联系统的分散鲁棒输出反馈控制
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2007-12-01 DOI: 10.1109/CDC.2007.4434012
W. Gui, Can Huang, Yongfang Xie, Zhaohui Jiang, Chunhua Yang
{"title":"Decentralized Robust H∞Output Feedback Control for Value Bounded Uncertain Large-scale Interconnected Systems","authors":"W. Gui, Can Huang, Yongfang Xie, Zhaohui Jiang, Chunhua Yang","doi":"10.1109/CDC.2007.4434012","DOIUrl":"https://doi.org/10.1109/CDC.2007.4434012","url":null,"abstract":"For large-scale interconnected systems with value bounded uncertainties existing in the state, control and interconnected matrices, the design of a decentralized robust Hinfin output feedback controller is investigated. Based on the bounded real lemma sufficient conditions for the existence of a decentralized robust Hinfin controller are obtained in terms of a set of matrix inequalities. According to Schur complement, a homotopy iterative linear matrix inequality method is put forward to construct a decentralized robust Hinfin controller by fixing different variables. The controller obtained enables the closed-loop large-scale systems robust stable and satisfies the given Hinfin performance. At last a numerical example is given to illustrate the effectiveness of the offered method","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129096090","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
Integration Method Research for the Detection of Moving Multi-Targets in Complex Dynamic Scenes 复杂动态场景中运动多目标检测的集成方法研究
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714004
Xinggang Liu, Xiaochuan Luo, Shan-qing Li, Huiping Zhao
{"title":"Integration Method Research for the Detection of Moving Multi-Targets in Complex Dynamic Scenes","authors":"Xinggang Liu, Xiaochuan Luo, Shan-qing Li, Huiping Zhao","doi":"10.1109/WCICA.2006.1714004","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714004","url":null,"abstract":"The moving target detection is the important area and key technology in machine vision, image understanding and terminal guidance. It finds a wide application in industry and military field. This paper presents a new approach to comprehensively detect the moving multi-targets in dynamic scenes. The method extracts the contour of each moving object based on the fusion of motion segmentation technique using difference of image and region growing process, and then the final result can be achieved after the optimization with active contour model. The advantages of this method are as follows: the complexity of the background information and the size of the target cannot affect the result of detection; viz. the detection method is of very robust and doesn't need motion compensation in the detecting process. The result of the simulation experiment has proved that the algorithm is reliable, practical and robust","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"728 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130008","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
Active-Disturbances-Rejection-Controller design of super-maneuverable flight based on dynamic inversion 基于动态反演的超机动飞行自抗扰控制器设计
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713549
Zhiguo Xiong, Xiu-xia Sun, Mengquan Hu, Dong Wang
{"title":"Active-Disturbances-Rejection-Controller design of super-maneuverable flight based on dynamic inversion","authors":"Zhiguo Xiong, Xiu-xia Sun, Mengquan Hu, Dong Wang","doi":"10.1109/WCICA.2006.1713549","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713549","url":null,"abstract":"By means of active-disturbances-rejection-controller (ADRC) based on compensation of dynamic inversion, a new scheme is proposed to design super-maneuverable flight controller. Firstly, the natural dynamics of aircraft is cancelled out to some extent by using known information of flight model, and then by applying ADRC in the fast and slow variables system to compensate model disturbances and uncertainty, the scheme realizes dynamic decoupling control of fast and slow state variables. Not needing accurate model of controlled object, ADRC is designed directly based on high degree of nonlinearity and uncertainty of aircraft under high-angle-of-attack flight, furthermore, without changing the structure and parameters of controller in big flight envelope, the scheme can simplify the design of flight control system. The simulation results of high-angle-of-attack maneuver in big flight envelope show that close loop system achieves high dynamic performance and robustness performance. The design using ADRC brings a new method to solve the problem of super-maneuverable flight control","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115163532","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
Application of Neural Network Based on Simulated Annealing to Classification of Remote Sensing Image 基于模拟退火的神经网络在遥感图像分类中的应用
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712890
Xiaoqiong Pang, L. Chen, Wenjun Chen
{"title":"Application of Neural Network Based on Simulated Annealing to Classification of Remote Sensing Image","authors":"Xiaoqiong Pang, L. Chen, Wenjun Chen","doi":"10.1109/WCICA.2006.1712890","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712890","url":null,"abstract":"The performance was unstable when using BP neural network to classify remote sensing images. Applying simulated annealing idea, an improved BP neural network with momentum was put forward. The improved network could self-adapt to choose momentum parameters according to annealing temperature, which was able to make the network escape from local minimum spots and converge stably. The experiments show that improved network converges more easily, its performance is steady, it has the preponderances of gradient descent with momentum and the standard BP neural network. Classification accuracy of remote sensing image is comparatively high. This method has practical application value","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227816","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: 3
The Hopfield neural networks are applied in the conceptual design for example Hopfield神经网络在概念设计中的应用就是一个例子
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714424
Zhao Ting-ting, Weu Xiao-peng, Yu Hong-zhi, Xia Jun-tie, Mao Hong-bo
{"title":"The Hopfield neural networks are applied in the conceptual design for example","authors":"Zhao Ting-ting, Weu Xiao-peng, Yu Hong-zhi, Xia Jun-tie, Mao Hong-bo","doi":"10.1109/WCICA.2006.1714424","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714424","url":null,"abstract":"According to the memory function of the association of the Hopfield neural networks, the process of conceptual design based on the example was carried out. It adopted the method that database and network of Hopfield combine in the process, to build up 0-1 functions to match the watch and use the Hebb study establishment experience matrix method. It was realized from a database searching an alike of the example. The huge calculation quantity and the establishment knowledge that avoided inspecting to the portrait reasons logically complicated process of the database. Finally, by the example carries on the verification to the process","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115469741","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
Intelligent Optimal Control of Grinding Circuits for Optimization of Particle Size Index 面向粒度指标优化的磨矿回路智能优化控制
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714356
P. Zhou, T. Chai, Heng Yue, Jinliang Ding, Da-yong Zhao
{"title":"Intelligent Optimal Control of Grinding Circuits for Optimization of Particle Size Index","authors":"P. Zhou, T. Chai, Heng Yue, Jinliang Ding, Da-yong Zhao","doi":"10.1109/WCICA.2006.1714356","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714356","url":null,"abstract":"Grinding circuits are characterized by being multivariable, non-linearity, severe coupling, large-time delay and time-variance. The key technical index, i.e. the particle size, is difficult to control directly with conventional loop control strategies. In this paper, an intelligent optimal control technique of grinding circuits achieving optimization of particle size index was proposed by combining intelligent methods including NN, CBR and IF-THEN rules-based reasoning. This hierachical control system is composed by a loop control layer and a loop setting layer. The formal consists of the loop controllers of the fresh ore feed, pulp density and overflow density, the later consists of a loop setting module, a soft-sensing predictor, a feedback compensator and a feedforward compensator. The loop setting layer gives the optimal setpoints to the loop controllers. This technique has been successfully applied in grinding circuits in a mineral processing plant. The particle size index has been kept in the required ranges. The control and operation of the grinding circuits achieved optimization","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115621926","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: 3
Binary-tree Multi-Classifier for Welding Defects and Its Application Based on SVM 基于支持向量机的焊接缺陷二叉树多分类器及其应用
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713639
Ding Gao, Yuan-xiang Liu, Xiao-guang Zhang
{"title":"Binary-tree Multi-Classifier for Welding Defects and Its Application Based on SVM","authors":"Ding Gao, Yuan-xiang Liu, Xiao-guang Zhang","doi":"10.1109/WCICA.2006.1713639","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713639","url":null,"abstract":"Application of support vector machine (SVM) for large number of catalogs was studied, and the structure of optional SVM decision tree was introduced under the different background. Aiming at the defect recognition problem in X-ray inspection welding images and combining the basic theory of binary-tree, a binary-tree method of multi-class classification based on SVM was put forward. This method adopts 'one-against-all' classification algorithm by which binary-tree multi-classifier for welding defects based on SVM was established. According to the characteristics of defects, six parameters were chosen as feature parameters, and familiar defects in the weld were classified into 6 classes. 84 defect samples were used to experiments, and the results show that the classifier possesses simple, intuitionistic and practical algorithm, and small number of repeated training samples","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115639406","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: 6
Approximation Theory of Real Sliding Mode in Variable Structure Control of Time-Delay Singular System 时滞奇异系统变结构控制中的实滑模逼近理论
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712697
Jifeng Guo, Cunchen Gao, Dongyuan Meng
{"title":"Approximation Theory of Real Sliding Mode in Variable Structure Control of Time-Delay Singular System","authors":"Jifeng Guo, Cunchen Gao, Dongyuan Meng","doi":"10.1109/WCICA.2006.1712697","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712697","url":null,"abstract":"Theory of approximation between real sliding mode and ideal sliding mode in variable structure control of linear time-delay singular uncertain system is studied. According to the theory, it is need only to study the ideal sliding mode in order to guarantee the system possess of good transient performances. The theory is natural generalization and improvement of those in normal systems, time-delay systems and singular systems","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653373","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
Asymmetrical Support Vector Machine Based on Moving Optimal Separating Hyperplane 基于移动最优分离超平面的不对称支持向量机
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712815
Hongsheng Lue, Jianmin He, Xiaoping Hu, Jian Wang
{"title":"Asymmetrical Support Vector Machine Based on Moving Optimal Separating Hyperplane","authors":"Hongsheng Lue, Jianmin He, Xiaoping Hu, Jian Wang","doi":"10.1109/WCICA.2006.1712815","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712815","url":null,"abstract":"Aiming at the problem about classifying two samples, support vector machine (SVM) put forward by Vapnik didn't think over the difference of two classes of classification error, so a new method, asymmetrical support vector machine (A-SVM), is given. The optimal separating hyperplane was deviated from the optimal support hyperplane of some kind of sample set by parallel moving the optimal separating hyperplane, and then this kind of sample set could be recognized with higher accurate ratio. Example result shows that A-SVM is similar to SVM for the total recognizing performance of both learning and testing. However, A-SVM is better than SVM when separating the kind of sample set","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115701696","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
Multi-objective Optimization Model and Algorithm for Hot Rolling Lot Planning 热轧批规划多目标优化模型与算法
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1714522
Shushi Ning, Wei Wang
{"title":"Multi-objective Optimization Model and Algorithm for Hot Rolling Lot Planning","authors":"Shushi Ning, Wei Wang","doi":"10.1109/WCICA.2006.1714522","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1714522","url":null,"abstract":"A multi-objective combinatorial optimization model is formulated for hot rolling lot planning problem in the production scheduling of iron and steel enterprises and a new modified multi-objective genetic local search algorithm is designed to solve the model. The model can solve the problem more precisely than previous methods. The algorithm can provide the schedulers with more than one solution in order to help schedulers make further decisions. Simulation experiment using production data shows that the model and algorithm are effective","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124395510","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: 4
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