The software system, hardware system and performance principle of the temperature and humidity meter are briefly described. An Intellectualized method is developed for orientating and calibrating the meter. This kind of new method is excellence in automation and intelligence, and presents simpler and more reliable new method for orientating and calibrating the nominal physical quantity of the nonlinear sensor.
{"title":"Intellectualized Orientating and Calibrating Method for Temperature and Humidity Meter","authors":"Chunbao Shen, Changchun Bao, Shiguang Liu, Panfeng Chen","doi":"10.1109/ICCA.2007.4376502","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376502","url":null,"abstract":"The software system, hardware system and performance principle of the temperature and humidity meter are briefly described. An Intellectualized method is developed for orientating and calibrating the meter. This kind of new method is excellence in automation and intelligence, and presents simpler and more reliable new method for orientating and calibrating the nominal physical quantity of the nonlinear sensor.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129102127","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376753
Sen Wang, L. Cai, Gang Wu
Tracking control of a hyper-chaotic system called three-cell coupled quantum cellular neural network is studied. A tracking control method is proposed for this hyper-chaotic system and it's proved by means of Lyapunov function that this method can make the system approach to any three desired smooth orbits at an exponent rate. The synchronization with Rossler's chaotic system is also presented. Numerical simulations are given to illustrate the effectiveness of the proposed method.
{"title":"Tracking Control and Synchronization with Diverse Structure of the Quantum Cellular Neural Network","authors":"Sen Wang, L. Cai, Gang Wu","doi":"10.1109/ICCA.2007.4376753","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376753","url":null,"abstract":"Tracking control of a hyper-chaotic system called three-cell coupled quantum cellular neural network is studied. A tracking control method is proposed for this hyper-chaotic system and it's proved by means of Lyapunov function that this method can make the system approach to any three desired smooth orbits at an exponent rate. The synchronization with Rossler's chaotic system is also presented. Numerical simulations are given to illustrate the effectiveness of the proposed method.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123999976","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376789
Z. Pan, Fei Luo, Yuge Xu
Elevator traffic flow is fundamental in elevator group control systems. Accurate elevator traffic flow model is crucial to the elevator system configuration and the dispatching of elevator group control systems, especially to the elevator system configuration in yet-to-be-commissioned new building. Based on dynamic passenger distribution of building, importing the overloading modulus of the passenger distribution capability of building, a new elevator traffic flow model is found and has a new form of origin vector and origin-destination matrix. The traffic flow data which based on the new traffic flow model shows that the new model is practical and useful. Simulation test also shows that the elevator traffic flow based on new model is more reasonable than the traditional elevator traffic flow model.
{"title":"Elevator Traffic Flow Model Based On Dynamic Passenger Distribution","authors":"Z. Pan, Fei Luo, Yuge Xu","doi":"10.1109/ICCA.2007.4376789","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376789","url":null,"abstract":"Elevator traffic flow is fundamental in elevator group control systems. Accurate elevator traffic flow model is crucial to the elevator system configuration and the dispatching of elevator group control systems, especially to the elevator system configuration in yet-to-be-commissioned new building. Based on dynamic passenger distribution of building, importing the overloading modulus of the passenger distribution capability of building, a new elevator traffic flow model is found and has a new form of origin vector and origin-destination matrix. The traffic flow data which based on the new traffic flow model shows that the new model is practical and useful. Simulation test also shows that the elevator traffic flow based on new model is more reasonable than the traditional elevator traffic flow model.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121145915","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376958
Hongpeng Tian, Miao Ma
Since human eyes are liable to be tired and fail to distinguish tiny distinctions when evaluating watermark imperceptibility, this paper presents an automatic evaluation method. In the method, the pixel distribution of the differential images between original image and watermark-embedded images are calculated to construct several comparative sequences; meanwhile, a reference sequence is formed through analyzing the ideal distribution of the pixels in the differential images. Next, an overall imperceptibility index is achieved through the grey relational degrees between the two kinds of sequences. Pilot experiments show that the evaluation results not only agree with human visual system, but also basically consist with theoretical analysis.
{"title":"An Automatic Method to Evaluate the Imperceptibility of Digital Watermark","authors":"Hongpeng Tian, Miao Ma","doi":"10.1109/ICCA.2007.4376958","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376958","url":null,"abstract":"Since human eyes are liable to be tired and fail to distinguish tiny distinctions when evaluating watermark imperceptibility, this paper presents an automatic evaluation method. In the method, the pixel distribution of the differential images between original image and watermark-embedded images are calculated to construct several comparative sequences; meanwhile, a reference sequence is formed through analyzing the ideal distribution of the pixels in the differential images. Next, an overall imperceptibility index is achieved through the grey relational degrees between the two kinds of sequences. Pilot experiments show that the evaluation results not only agree with human visual system, but also basically consist with theoretical analysis.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116270290","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376902
Xin Wang
The multi-sensor information fusion theory has been widely used in the fault diagnosis domain. In order to improve the reliability of fault diagnosis of the variable frequency speed regulation system (VFSRS), this paper presents a new fault diagnosis method of the VFSRS based on the multi-sensor information fusion. A calculating method of the basic probability assignment (BPA) for the VFSRS was given. Taking the invisible electric fault of the VFSRS as an example, this paper presents the implementing process of this fault diagnosis method in detail. The diagnosis result indicates that the multi-sensor information fusion has the stability and the ability of fault tolerance, and can improve the accuracy and reliability of fault diagnosis of the VFSRS effectively.
{"title":"Fault Diagnosis of Variable Frequency Speed Regulation System Based on Information Fusion","authors":"Xin Wang","doi":"10.1109/ICCA.2007.4376902","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376902","url":null,"abstract":"The multi-sensor information fusion theory has been widely used in the fault diagnosis domain. In order to improve the reliability of fault diagnosis of the variable frequency speed regulation system (VFSRS), this paper presents a new fault diagnosis method of the VFSRS based on the multi-sensor information fusion. A calculating method of the basic probability assignment (BPA) for the VFSRS was given. Taking the invisible electric fault of the VFSRS as an example, this paper presents the implementing process of this fault diagnosis method in detail. The diagnosis result indicates that the multi-sensor information fusion has the stability and the ability of fault tolerance, and can improve the accuracy and reliability of fault diagnosis of the VFSRS effectively.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333670","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376720
Buhai Shi, Xuefeng Zhu
This paper introduces a dynamic modeling method of multi-step predictive neural network in the large time delay system, and discusses the algorithm and structure of neural network and dynamic response characteristics of the large time delay system in detail. Especially, based on single variable time delay system modeling framework, a new algorithm is presented to implement the neural network multi-step predictive modeling of multivariable large time delay system. According to the data of the waterworks coagulating sedimentation time delay system, the simulation of the multivariable multi-step predictive modeling shows that these results are effective.
{"title":"Research on Multivariable Time Delay System Multi-step Predictive Dynamic Modeling","authors":"Buhai Shi, Xuefeng Zhu","doi":"10.1109/ICCA.2007.4376720","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376720","url":null,"abstract":"This paper introduces a dynamic modeling method of multi-step predictive neural network in the large time delay system, and discusses the algorithm and structure of neural network and dynamic response characteristics of the large time delay system in detail. Especially, based on single variable time delay system modeling framework, a new algorithm is presented to implement the neural network multi-step predictive modeling of multivariable large time delay system. According to the data of the waterworks coagulating sedimentation time delay system, the simulation of the multivariable multi-step predictive modeling shows that these results are effective.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478010","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376839
Liyan Zhu, Qi Luo
In this paper, an adaptive neural network control scheme is presented for a class of nonlinear systems in the strict-feedback form, together with unknown nonlinearities and unknown linear parameters. Via adopting backstepping methodology and suitably choosing the design parameters, all the signals in the closed-loop are guaranteed to be semi-globally uniformly ultimately bounded and the output of the system is proven to converge to a small neighborhood of the desired trajectory. Furthermore, we end up this work with a simulation verifying the effectiveness of the proposed approach.
{"title":"A Class of Uncertain System Control Via Adaptive NN Design","authors":"Liyan Zhu, Qi Luo","doi":"10.1109/ICCA.2007.4376839","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376839","url":null,"abstract":"In this paper, an adaptive neural network control scheme is presented for a class of nonlinear systems in the strict-feedback form, together with unknown nonlinearities and unknown linear parameters. Via adopting backstepping methodology and suitably choosing the design parameters, all the signals in the closed-loop are guaranteed to be semi-globally uniformly ultimately bounded and the output of the system is proven to converge to a small neighborhood of the desired trajectory. Furthermore, we end up this work with a simulation verifying the effectiveness of the proposed approach.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121573178","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376935
Yuping Lan, Xuanli Lv, Wei-guo Zhang
This paper discusses the portfolio selection problem with the lower and upper bounds constraints to investment based on the possibilistic theory under the assumption that the returns of assets are fuzzy numbers. The possibilistic mean value of the return is termed measure of investment return and the possibilistic variance of the return is termed measure of investment risk. The conventional probabilistic mean-variance model can be simplified a linear programming under the assumption that the returns of assets are triangular fuzzy numbers. Finally, a numerical example of a portfolio selection problem is given to illustrate our proposed effective means and approaches.
{"title":"A Linear Programming Model of Fuzzy Portfolio Selection Problem","authors":"Yuping Lan, Xuanli Lv, Wei-guo Zhang","doi":"10.1109/ICCA.2007.4376935","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376935","url":null,"abstract":"This paper discusses the portfolio selection problem with the lower and upper bounds constraints to investment based on the possibilistic theory under the assumption that the returns of assets are fuzzy numbers. The possibilistic mean value of the return is termed measure of investment return and the possibilistic variance of the return is termed measure of investment risk. The conventional probabilistic mean-variance model can be simplified a linear programming under the assumption that the returns of assets are triangular fuzzy numbers. Finally, a numerical example of a portfolio selection problem is given to illustrate our proposed effective means and approaches.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124140640","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376410
Ye Shi-qi, Peng Yong
The relation between risk and return is a forever subject of finance. Risk is positive relation with return within the framework of standard finance theory, but negative relation within the framework of behavioral finance theory. To explain the conflicting relation within different theory framework, this paper proposed the model of perceived risk and perceived expected value based on self-confidence degree of private information. Then detailed discussed the mainly factors effecting them. This paper got the relation between risk and return. Only self-confidence degree of private information being greater than its critical value, risk is positive relation with return. Otherwise, risk is negative relation with return.
{"title":"The Relation between Risk and Return of Portfolio based on Standard Finance and Behavioral Finance","authors":"Ye Shi-qi, Peng Yong","doi":"10.1109/ICCA.2007.4376410","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376410","url":null,"abstract":"The relation between risk and return is a forever subject of finance. Risk is positive relation with return within the framework of standard finance theory, but negative relation within the framework of behavioral finance theory. To explain the conflicting relation within different theory framework, this paper proposed the model of perceived risk and perceived expected value based on self-confidence degree of private information. Then detailed discussed the mainly factors effecting them. This paper got the relation between risk and return. Only self-confidence degree of private information being greater than its critical value, risk is positive relation with return. Otherwise, risk is negative relation with return.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115849295","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}
Pub Date : 2007-11-05DOI: 10.1109/ICCA.2007.4376602
Lian-fang Kong, Lei Xiao
Usually control architecture of an intelligent Agent is structured as a single level, all related control issues are determined in this level. Since the Agent may work in a complex organizational context and it may have multiple complicated interdependent tasks to process. Obviously, it is difficult to construct an integrated control framework in which all the control issues are determined in an efficient way. In this paper, a three-layered control architecture for an intelligent Agent is presented. The control Agent architecture consists of three layers: global control layer, detailed control layer and execution layer, the first two control layers are decision making layers. Each control layer in this control architecture has different function in control process: global control layer deals with the formation of high level goals and objectives for the Agent. Detailed control layer deals with feasibility and implementation of operations. The execution layer executes those actions determined by the upper control layers. Furthermore we use TAEMS (task analysis environment modeling and simulation) to represent structures of those tasks that agent has to execute. The primary advantage of this three-layered control Agent architecture is that all the control issues can be addressed concurrently and done in an efficient way.
{"title":"A Multi-Layered Control Architecture of Intelligent Agent","authors":"Lian-fang Kong, Lei Xiao","doi":"10.1109/ICCA.2007.4376602","DOIUrl":"https://doi.org/10.1109/ICCA.2007.4376602","url":null,"abstract":"Usually control architecture of an intelligent Agent is structured as a single level, all related control issues are determined in this level. Since the Agent may work in a complex organizational context and it may have multiple complicated interdependent tasks to process. Obviously, it is difficult to construct an integrated control framework in which all the control issues are determined in an efficient way. In this paper, a three-layered control architecture for an intelligent Agent is presented. The control Agent architecture consists of three layers: global control layer, detailed control layer and execution layer, the first two control layers are decision making layers. Each control layer in this control architecture has different function in control process: global control layer deals with the formation of high level goals and objectives for the Agent. Detailed control layer deals with feasibility and implementation of operations. The execution layer executes those actions determined by the upper control layers. Furthermore we use TAEMS (task analysis environment modeling and simulation) to represent structures of those tasks that agent has to execute. The primary advantage of this three-layered control Agent architecture is that all the control issues can be addressed concurrently and done in an efficient way.","PeriodicalId":301284,"journal":{"name":"2007 IEEE International Conference on Control and Automation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130077187","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}
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