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Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)最新文献

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Memory organization in a real-time database based on red-black tree structure 基于红黑树结构的实时数据库内存组织
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1342243
Jianwei Li, Yubin Xu, Hong Guo
{"title":"Memory organization in a real-time database based on red-black tree structure","authors":"Jianwei Li, Yubin Xu, Hong Guo","doi":"10.1109/WCICA.2004.1342243","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1342243","url":null,"abstract":"Linked list is a traditional way to organize the data in a real-time database in the configuration system. Plenty of time is wasted during searching if there is a great amount of data. A new solution is applied to organize a real time database memory in the paper. The model of red-black tree, a kind of balanced tree, has been set up with VC++6.0.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130652497","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
Evolutionary programming based on uniform design with application to multiobjective optimization 基于均匀设计的进化规划及其在多目标优化中的应用
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1342000
Jihui Zhang, Junqin Xu
{"title":"Evolutionary programming based on uniform design with application to multiobjective optimization","authors":"Jihui Zhang, Junqin Xu","doi":"10.1109/WCICA.2004.1342000","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1342000","url":null,"abstract":"Pareto-optimality is one of the important methods to solve multiobjective optimization problems. It is desirable to find as much as possible Pareto-optimal solutions, and it is also highly expected to find the ones scattered uniformly over the Pareto frontier such that a variety of compromise solutions can be provided to the decision maker. For this purpose, an evolutionary programming algorithm, called evolutionary programming based on uniform design (UDEP), is proposed in this paper. Uniform design technique is used to define some fitness functions which can guide the search evenly toward the Pareto frontier. In order to overcome premature and provide as much as possible candidate solutions evenly scattered in the whole search space, uniform design technique, variable region search, as well as niche technique are used. Uniform design makes it possible to explore the search space evenly, while variable region search and niche technique help to keep diversity of the population. Their combination improves the search ability of EP (evolutionary programming) significantly. Many numerical experimental results show the usefulness of the proposed method.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130655427","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
Performance analysis and comparison of neural networks and support vector machines classifier 神经网络与支持向量机分类器的性能分析与比较
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1342308
En-Hui Zheng, Ping Li, Zhihuan Song
{"title":"Performance analysis and comparison of neural networks and support vector machines classifier","authors":"En-Hui Zheng, Ping Li, Zhihuan Song","doi":"10.1109/WCICA.2004.1342308","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1342308","url":null,"abstract":"The theory foundation and classification algorithm of neural networks (NN) and support vector machines (SVM) are researched and compared from their conceptual constructs to basic mathematical reasons, on the basis of which the SVM classification system and the NN classification system are constructed respectively. The performances of the two classification systems are tested on two sets of benchmark data, and the SVM classification system shows better performance in binary classification tasks.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123969253","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: 15
Improvement of D-S evidential theory in multisensor data fusion system D-S证据理论在多传感器数据融合系统中的改进
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1343096
Lijia Xu, Yangzhou Chen, P. Cui
{"title":"Improvement of D-S evidential theory in multisensor data fusion system","authors":"Lijia Xu, Yangzhou Chen, P. Cui","doi":"10.1109/WCICA.2004.1343096","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343096","url":null,"abstract":"In recent years, numerous multisensor data fusion systems have been developed for wide application. There are many algorithms in multisensor data fusion, D-S evidence theory is a useful method for dealing with uncertainty problems. This paper describes the main features of the evidential combination algorithm which is implemented in our research. It also gives improvement to the shortage of its combine rule and gives its new rule. Thus, we can combine high conflicted evidences with different weights, which have been calculated through different information included in the numerous evidences. The examples have been done to demonstrate the efficiency of the new combine rule, it can improve the reliability of the combination results.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114094745","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
Inserted chaotic-sequence cryptography and supported software's investigation 插入混沌序列密码学及支持软件的研究
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1340491
Yin Yang, Cao Jian-Fu
{"title":"Inserted chaotic-sequence cryptography and supported software's investigation","authors":"Yin Yang, Cao Jian-Fu","doi":"10.1109/WCICA.2004.1340491","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340491","url":null,"abstract":"In allusion to the bug of some chaotic cryptography, brought forward a new data cryptology, which used the bidimensional inserted chaotic-sequence code. The encrypted effect and the capability of resisted to the attack are analyzed. The crossing-platform software was developed based on the component's architecture.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"22 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109574","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
Finite time terminal sliding mode control for a class of time delay systems 一类时滞系统的有限时间终端滑模控制
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1340753
Guangdeng Zong, Yuqiang Wu
{"title":"Finite time terminal sliding mode control for a class of time delay systems","authors":"Guangdeng Zong, Yuqiang Wu","doi":"10.1109/WCICA.2004.1340753","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1340753","url":null,"abstract":"A fast terminal sliding mode controller is proposed for a class of linear systems with distributed delays in state and control variables. By properly designing a state transformation and a predictor, the given system can be changed into a time-delay free. The proposed terminal sliding manifold is given using the recursive mechanism. It is shown that by suitably choosing the parameters of the fast terminal sliding modes, system state variables would reach the fast terminal sliding manifold within a desired finite time and stay there forever, resulting in the convergence to equilibrium in a finite time. The global stability of the closed-loop system is guaranteed and the singularity problem usually existed in the terminal sliding mode control is avoided. Although the proposed control strategy is sliding mode based, the control signal is continuous except at a single discontinuous point. Chattering phenomenon commonly associated with sliding mode control does not occur.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116306530","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 areal rainfall forecasting method based on fuzzy optimum neural network and Geography Information System 基于模糊优化神经网络和地理信息系统的区域降雨预报方法
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1343750
Shouyu Chen, Qingguo Li
{"title":"An areal rainfall forecasting method based on fuzzy optimum neural network and Geography Information System","authors":"Shouyu Chen, Qingguo Li","doi":"10.1109/WCICA.2004.1343750","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343750","url":null,"abstract":"An areal rainfall is important basic data in a real time flood warning system. Good areal rainfall calculation means we can forecast flood more accurately and in time. Here, we propose an areal rainfall forecasting methodology integrated fuzzy optimized neural network with Geography Information System (GIS) methods. GIS has an advantage of processing spatial information. Using many models and methods provided by CIS software, we obtain more accurate areal rainfalls of a catchment. Then, these outputs of the CIS software are taken as the expected output of the fuzzy optimized neural network, and the network is trained to find the mapping between the areal rainfalls and observed rainfalls of all gauge stations. Finally, with the mapping, new observed values are taken as input of the network, and we can obtain the catchment areal rainfall in time.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121484716","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
Levenberg-Marquardt algorithm for nonlinear principal component analysis neural network through inputs training Levenberg-Marquardt算法用于非线性主成分分析神经网络通过输入训练
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1343139
S. Zhao, Yongmao Xu
{"title":"Levenberg-Marquardt algorithm for nonlinear principal component analysis neural network through inputs training","authors":"S. Zhao, Yongmao Xu","doi":"10.1109/WCICA.2004.1343139","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343139","url":null,"abstract":"Nonlinear principal component analysis (PCA) through inputs training neural networks (IT-nets) based on gradient descent algorithm is effective in coping with the intrinsic nonlinearity in realistic processes. However, the gradient-based method suffers from the slow convergence behavior after the first few iterations and thus greatly affects its practicability in many cases. In this paper, Levenberg-Marquardt algorithm is introduced to accelerate the training of inputs of the IT-nets. Its efficiency is demonstrated through application to the nonlinear dimensionality reduction of data from an industrial fluidized catalytic cracking (FCC) plant.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121524596","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
Advanced process control of an acetaldehyde distillation units 乙醛蒸馏装置的先进过程控制
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1343156
Tianpeng Li, Jun Zhao
{"title":"Advanced process control of an acetaldehyde distillation units","authors":"Tianpeng Li, Jun Zhao","doi":"10.1109/WCICA.2004.1343156","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343156","url":null,"abstract":"The acetaldehyde distillation units are composed of two distillation columns; one is used to remove the light component and one end-product column. Coupling problems in the end-product column are encountered because of the dual component control strategy implemented by conventional PID control, due to heat integration, coupling problems are also existed between the two columns, which cause the operation of the distillation units difficult. In this paper, an advanced process control and optimization application is introduced. The control tasks of the two columns are considered together by a multi-variable model predictive controller to overcome the mentioned problems. Compared to original PID control, the improvements of control performance can be observed by the reduced variant range of the columns temperature. An economic optimization between steam consumption and product quality is also implemented, which ensure that the operating points of distillation units move towards its optimal steady-operating points.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121637265","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
Modeling study of sludge process based on neural network 基于神经网络的污泥过程建模研究
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI: 10.1109/WCICA.2004.1343176
Ying Yu, Junfei Qiao, Xudong Ye
{"title":"Modeling study of sludge process based on neural network","authors":"Ying Yu, Junfei Qiao, Xudong Ye","doi":"10.1109/WCICA.2004.1343176","DOIUrl":"https://doi.org/10.1109/WCICA.2004.1343176","url":null,"abstract":"On the basis of analyzing the classical methods of sludge process modeling, the paper put forward a new method about activated sludge process by neural networks. Firstly, the paper utilized principal component analysis method to realize reduce the dimension of the input vectors and orthogonalize the components of the input vectors. Then built activated sludge process system by BP and RBF artificial neural networks, the applicability of the two neural network models were analyzed to sludge process. The experiment result shows that: (1) these neural networks may reflect real conditions correctly and have strong self-adaptation; (2) the RBF neural network model has better convergence ability and impending speed than the BP neural network model.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693017","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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