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

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Disturbance Decoupling Control for a Class of Nonlinear Time-Delay System 一类非线性时滞系统的扰动解耦控制
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712469
Qingxian Gong, Huaguang Zhang, Chonghui Song, Derong Liu
{"title":"Disturbance Decoupling Control for a Class of Nonlinear Time-Delay System","authors":"Qingxian Gong, Huaguang Zhang, Chonghui Song, Derong Liu","doi":"10.1109/WCICA.2006.1712469","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712469","url":null,"abstract":"The disturbance decoupling control problem was considered for a class of MIMO nonlinear time-delay systems. Under assumptions, a nonlinear feedback control law is constructed, which ensures that outputs of the closed-loop system are unaffected by disturbances and independent of time-delay. Based on differential geometry theory, sufficient and necessary conditions are derived for the existence of such feedback control law. An example is provided to illustrate the effectiveness of the results in the paper","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":"124402633","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
Robust Energy-to-Peak Estimation for Uncertain Continuous-Time Linear Systems 不确定连续时间线性系统的鲁棒能峰估计
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712721
A. Wu, Liang He, G. Duan
{"title":"Robust Energy-to-Peak Estimation for Uncertain Continuous-Time Linear Systems","authors":"A. Wu, Liang He, G. Duan","doi":"10.1109/WCICA.2006.1712721","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712721","url":null,"abstract":"Based on two recent results, a new LMI representation for L2 -Linfin performance of continuous-time systems is first proposed by introducing two extra auxiliary matrices. The criterion allows the use of parameter-dependent Lyapunov function for analysis and synthesis problems. Robust energy-to-peak estimators are then designed based on the new criterion by means of LMI technique, with the result that the much less conservativeness is achieved compared with the earlier results in the quadratic framework. A numerical example is employed to illustrate the effect and advantage of the proposed designs","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"6 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":"123073831","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
Backstepping Approach to Ship Steering Autopilot based on Fuzzy Adaptive Control 基于模糊自适应控制的船舶转向自动驾驶仪反演方法
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713004
Songtao Zhang, Guang Ren
{"title":"Backstepping Approach to Ship Steering Autopilot based on Fuzzy Adaptive Control","authors":"Songtao Zhang, Guang Ren","doi":"10.1109/WCICA.2006.1713004","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713004","url":null,"abstract":"For the nonlinear Norbin ship model, this paper provides a new fuzzy adaptive control algorithm based on the backstepping approach and the approximation capability of the fuzzy system constructed by radial basis function (RBF). Employing the Taylor linearization technique, the algorithm can on-line tune all the parameters of RBF (connection weights, centers and widths), thereby the approximation error can be reduced greatly. Moreover, the robust controller is employed to dispel the effect of the approximation error. The asymptotical stability of the closed-loop control system is proved in the sense of Lyapunov function. At last, the simulating results show that the proposed algorithm has better adaptive ability than traditional PID control algorithm","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"7 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":"124245120","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
Design of Energy Management Strategy in Hybrid Electric Vehicles by Evolutionary Fuzzy System Part II: Tuning Fuzzy Controller by Genetic Algorithms 基于进化模糊系统的混合动力汽车能量管理策略设计第二部分:基于遗传算法的模糊控制器整定
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713600
Aihua Wang, Weizi Yang
{"title":"Design of Energy Management Strategy in Hybrid Electric Vehicles by Evolutionary Fuzzy System Part II: Tuning Fuzzy Controller by Genetic Algorithms","authors":"Aihua Wang, Weizi Yang","doi":"10.1109/WCICA.2006.1713600","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713600","url":null,"abstract":"This paper presents the second part of a two-part paper on development of an evolutionary fuzzy energy management strategy for parallel hybrid vehicles. In this part, we utilized genetic algorithms (GA) to optimize the parameters of the fuzzy controller. In addition, we employed a novel method to cope with the difficulties often encountered in designing a fitness function of GA. The simulation study reveals that the proposed \"evolutionary fuzzy system\" based energy management strategy provide a platform of new energy management system and gives improved performance of a parallel hybrid vehicle","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":"124269960","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: 22
The Software Design of Data Acquisition Server Based on Multi-Agent Technology 基于多agent技术的数据采集服务器软件设计
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713208
Shaocheng Wu, Xuefeng Zhu, Wei Li
{"title":"The Software Design of Data Acquisition Server Based on Multi-Agent Technology","authors":"Shaocheng Wu, Xuefeng Zhu, Wei Li","doi":"10.1109/WCICA.2006.1713208","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713208","url":null,"abstract":"As the supervisory control and data acquisition (SCADA) become more and more distributed and complex, the job of designing data acquisition server (DAS) software is very challenging. This paper advances a new design method for data acquisition server software based on multi-agent. By using multi-agent technology, the flexible intelligent communication protocol interface and optimal load balancing policy are designed to tackle the problems of variety communication protocols and heavy network loads. It can easily add new protocol or modify protocol without any modification of the protocol interface software's source code. So, the performance such as scalability and maintainability of the DAS has been greatly improved. This method has already been applied in the real project, and the desirable result of the project field proves its validity","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"9 3 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":"124288603","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
An Improved Method on Meteorological Prediction Modeling using Genetic Algorithm and Artificial Neural Network 基于遗传算法和人工神经网络的气象预报建模改进方法
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712356
Long Jin, Cai Yao, Xiaoyan Huang
{"title":"An Improved Method on Meteorological Prediction Modeling using Genetic Algorithm and Artificial Neural Network","authors":"Long Jin, Cai Yao, Xiaoyan Huang","doi":"10.1109/WCICA.2006.1712356","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712356","url":null,"abstract":"Aiming at forecasting typhoon tracks by using genetic algorithm and neural network approach, this paper presents a new prediction modeling scheme for selecting the structure of networks and determining the initial connection weight. The probability for obtaining a global optimal solution is raised by designing a strategy that the optimum individual for each generation is reserved after a certain number of generations in the computational process of genetic evolution. The case forecast results of the typhoon track over the South China sea area show that mean absolute error of the prediction during 1990-2003 is 150.0km form this new forecast model, and in comparison with the optimum individual form the last generation, under the conditions of the same predictors and period forecast error is 161.1km. Furthermore, it is also found that higher predictive accuracy form the forecast models using genetic algorithm and neural network approach, comparing the results to those form objective prediction technique of typhoon tracks and the climatology and persistence (CLIPER) methods","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"467 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":"116786809","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: 12
Analyzing the Steady-State Error of Nonunity Feedback Control Systems by the Concept of Type Number 用类型数的概念分析非统一反馈控制系统的稳态误差
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712430
S. Mou
{"title":"Analyzing the Steady-State Error of Nonunity Feedback Control Systems by the Concept of Type Number","authors":"S. Mou","doi":"10.1109/WCICA.2006.1712430","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712430","url":null,"abstract":"In this study, a new analysis method for the steady-state error of nonunity feedback control system was proposed by Kuo and discussed. The steady-state error of unity feedback system is calculated mainly by the system type. However, it is not suitable for nonunity feedback system. A new concept of determining the steady-state error of nonunity feedback control system was introduced by basing on the system type in this paper. Through the method, the step will be unnecessary of transferring nonunity feedback system to unity feedback control system","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"14 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":"117158668","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
Automatic System of Seeds Refined Grading Based on Machine Vision 基于机器视觉的种子精细分级自动系统
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713883
Y. Xun, Junxiong Zhang, Wei Li, Wei-yi Cai
{"title":"Automatic System of Seeds Refined Grading Based on Machine Vision","authors":"Y. Xun, Junxiong Zhang, Wei Li, Wei-yi Cai","doi":"10.1109/WCICA.2006.1713883","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713883","url":null,"abstract":"An automatic seed grading and selecting system based on machine vision dynamic inspection technology was developed. The working principle of the inspection system and a whole structure of the system were determined and a prototype was manufactured. Colour code sensors were adopted to trace the positions of seeds and automatically acquire the position information of each seed in a rapidly moving state. All the seeds were sorted into four grades according to their morphological characteristics. Separation of the graded seeds was realized by on-off control of magnet valves to pass or block a high pressure air flow. A programmable logic controller (PLC) was adopted to control the whole test-bed. The experiment results show that the eligible ratio of grading is over 92% and 15 seed kernels are processed per second when the belt velocity is about 0.2m/s and the air pressure is 0.85 MPa","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"210 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991914","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
A Model Solving Constrained Optimization Problem Based on the Stability of Hopfield Neural Network 基于Hopfield神经网络稳定性的约束优化问题求解模型
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1712873
Xiaochen Hao, H. Gao, Chao Sun, B. Liu
{"title":"A Model Solving Constrained Optimization Problem Based on the Stability of Hopfield Neural Network","authors":"Xiaochen Hao, H. Gao, Chao Sun, B. Liu","doi":"10.1109/WCICA.2006.1712873","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1712873","url":null,"abstract":"A neural network model is presented to solve the problem of generalized constrained optimization. The model is based on the stability criteria of Hopfield neural network. The energy function evaluating the stability of Hopfield neural network must be monotonously decreasing and bounded. By introducing Lagrange multiplier as constrained nerve cell and auxiliary variable as slack nerve cell, we constructed the neural network model, which has been proved to be stable and has a stable equilibrium point. The optimum solution of the system can be obtained by getting the equilibrium point of the model. In this way, a new approach is provided to solve the problem of constrained optimization system. Simulation shows that the neural network is effective in solving the constrained optimization problem","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"32 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":"121003639","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
Research on In-Process Measuring Method for Crankshaft 曲轴在程测量方法研究
2006 6th World Congress on Intelligent Control and Automation Pub Date : 2006-10-23 DOI: 10.1109/WCICA.2006.1713338
Yingzhong Tian, Ming Li, Yongyi He, Ganghua Wu, Wei Li, M. Fang
{"title":"Research on In-Process Measuring Method for Crankshaft","authors":"Yingzhong Tian, Ming Li, Yongyi He, Ganghua Wu, Wei Li, M. Fang","doi":"10.1109/WCICA.2006.1713338","DOIUrl":"https://doi.org/10.1109/WCICA.2006.1713338","url":null,"abstract":"Analyzed the dynamic character of crankpin non-circinal grinding process, this paper presents an in-process tracing measuring method for diameter and roundness errors of crankpin, which contrasts relative diameter measuring method. The measuring system motion equation is also introduced in detail. The measuring errors are quantitatively computed that aroused by the eccentric errors and tracing errors of measuring bracket, and the conclusion is given by simulation","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"2 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":"121042218","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
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