H∞control problem of networked control systems with clock-driven sensor, actuator and event-driven actuator is studied. The sufficient condition of the existence of H∞ control law state feedback is derived through Lyapunov theory and linear matrix inequality. Design method is also presented. A simulation example shows the proposed approach is valid.
{"title":"Modeling and H-infinity Control for a Kind of Networked Control System with Short Time-Delay","authors":"Kexue Zhang, Jun Yao, Yan-feng Wang","doi":"10.1109/ICINIS.2010.184","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.184","url":null,"abstract":"H∞control problem of networked control systems with clock-driven sensor, actuator and event-driven actuator is studied. The sufficient condition of the existence of H∞ control law state feedback is derived through Lyapunov theory and linear matrix inequality. Design method is also presented. A simulation example shows the proposed approach is valid.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"77 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132603023","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}
Satellite network is characterized by its time-varying topology. For the communication resources are scare and expensive, it is very important to detect the network fault in time. However the common fault detection methods used in terrestrial network are not suitable to satellite network. So in satellite network a efficient and lightweight fault detection method is put forward. When a satellite agent could respond to the network management instruction received from the management station. The traditional detection method was used through network management technique. If the satellite could not respond to the network management demand, the intra-domain cooperation or inter-domain cooperation would be activated. The suspectable fault of satellite could be tested through cooperation among the fault detection agents in satellites. The simulation results shows that in the circumstance of the low faulty frequency, the new method could be effectively used in satellite network with short cooperative time and low throughput.
{"title":"A Satellite Network Fault Detection Method","authors":"Wenbo Zhang, Qian Dong","doi":"10.1109/ICINIS.2010.74","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.74","url":null,"abstract":"Satellite network is characterized by its time-varying topology. For the communication resources are scare and expensive, it is very important to detect the network fault in time. However the common fault detection methods used in terrestrial network are not suitable to satellite network. So in satellite network a efficient and lightweight fault detection method is put forward. When a satellite agent could respond to the network management instruction received from the management station. The traditional detection method was used through network management technique. If the satellite could not respond to the network management demand, the intra-domain cooperation or inter-domain cooperation would be activated. The suspectable fault of satellite could be tested through cooperation among the fault detection agents in satellites. The simulation results shows that in the circumstance of the low faulty frequency, the new method could be effectively used in satellite network with short cooperative time and low throughput.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"423 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132687586","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}
RS is a popular FH code whose chaotic features of frequency sequence is analyzed in this article and such a conclusion is achieved that RS code is of chaotic features in terms of frequency sequence. According to this conclusion, a method of FH prediction about the degree of incidence is suggested based on the phase space reconstruction of chaotic system. It is more accurate than the chaos prediction method of the nearest point in phase space based on the Euclid distance.
{"title":"A Frequency Prediction of RS Code FH Based on Chaotic Theory","authors":"Zhen-yu Teng, Bo Qian, Yongxin Feng","doi":"10.1109/ICINIS.2010.76","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.76","url":null,"abstract":"RS is a popular FH code whose chaotic features of frequency sequence is analyzed in this article and such a conclusion is achieved that RS code is of chaotic features in terms of frequency sequence. According to this conclusion, a method of FH prediction about the degree of incidence is suggested based on the phase space reconstruction of chaotic system. It is more accurate than the chaos prediction method of the nearest point in phase space based on the Euclid distance.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"368 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115894261","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}
Presented a kind of principle and method based on regression support vector machine dynamic data significant error detection. The method takes full advantage of the nonlinear approximation capability supporting vector machine. The establishment of nonlinear system dynamic process model convex to a quadratic twice optimization problem, which can be guaranteed the extremal solution is global optimal solution and has good generalization ability. In this paper looked glutamic acid fermentation process as the research object, and established the chemical and biological variables prediction model based on SVM regression. At the same time achieved process variables online predicted. Through the method of strike the deviation of predicted value and measured to determine the existence of a significant error, which provide a new method for the significant error detection, eliminate and revise of dynamic process.
{"title":"Support Vector Machine's Application in Significant Error Detection of Nonlinear Systems","authors":"L. Nian","doi":"10.1109/ICINIS.2010.186","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.186","url":null,"abstract":"Presented a kind of principle and method based on regression support vector machine dynamic data significant error detection. The method takes full advantage of the nonlinear approximation capability supporting vector machine. The establishment of nonlinear system dynamic process model convex to a quadratic twice optimization problem, which can be guaranteed the extremal solution is global optimal solution and has good generalization ability. In this paper looked glutamic acid fermentation process as the research object, and established the chemical and biological variables prediction model based on SVM regression. At the same time achieved process variables online predicted. Through the method of strike the deviation of predicted value and measured to determine the existence of a significant error, which provide a new method for the significant error detection, eliminate and revise of dynamic process.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116387533","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}
In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace flame in real time. In this paper, it introduces the BP neural network absorb the basic method of flame-picture's temperature, to study thoroughly discussed about the BP neural network model, and puts forward an improved BP neural network method, as for the method to calculate three-dimensional temperature field, which has many advantages to the traditional optimization method. Taking the BP neural network using to test the three-dimensional temperature field in the furnace is feasible by the simulation studies and the experimental results.
{"title":"The Research on Method of Detection for Three-Dimensional Temperature of the Furnace Based on BP Neural Network","authors":"Yang Yu, Jinxing Chen","doi":"10.1109/ICINIS.2010.141","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.141","url":null,"abstract":"In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace flame in real time. In this paper, it introduces the BP neural network absorb the basic method of flame-picture's temperature, to study thoroughly discussed about the BP neural network model, and puts forward an improved BP neural network method, as for the method to calculate three-dimensional temperature field, which has many advantages to the traditional optimization method. Taking the BP neural network using to test the three-dimensional temperature field in the furnace is feasible by the simulation studies and the experimental results.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115717632","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}
this paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region and the gradient of flame front by the Line Enhance Filtering algorithm, and then extracts flame front boundaries and crake edges from the enhanced PLIF images using the CV model. We compared the LEAC model with the classical CV model on different PLIF images. Experimental results show that our model can detect the flame front accurately, and it has good performance on detecting the exact edges of long and narrow crack regions, where the classical CVmodel can not detect completely. Moreover, it is insensitive to image noise and curve initialization.
{"title":"Flame Front Detection by Line Enhance Active Contour from OH-PLIF Images","authors":"Huijie Fan, Wei Dong, Yandong Tang","doi":"10.1109/ICINIS.2010.11","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.11","url":null,"abstract":"this paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region and the gradient of flame front by the Line Enhance Filtering algorithm, and then extracts flame front boundaries and crake edges from the enhanced PLIF images using the CV model. We compared the LEAC model with the classical CV model on different PLIF images. Experimental results show that our model can detect the flame front accurately, and it has good performance on detecting the exact edges of long and narrow crack regions, where the classical CVmodel can not detect completely. Moreover, it is insensitive to image noise and curve initialization.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114875702","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}
The problem of robust passive control of a class of uncertain discrete time-delay singular system is discussed. Using the method of linear matrix inequality (LMI), a sufficient condition is firstly presented for the unforced system to be robust stable and strictly passive, then the existence condition of a state feedback robust passive controller is given and the explicit expression of the controller is derived in terms of the solution of LIMs, Finally, a numerical example is given to illustrate the feasibility of the conclusion.
{"title":"Passive Control for Uncertain Discrete Time-Delay Singular Systems","authors":"Ling Ai, Xin-zhuang Dong, Hui Yang","doi":"10.1109/ICINIS.2010.135","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.135","url":null,"abstract":"The problem of robust passive control of a class of uncertain discrete time-delay singular system is discussed. Using the method of linear matrix inequality (LMI), a sufficient condition is firstly presented for the unforced system to be robust stable and strictly passive, then the existence condition of a state feedback robust passive controller is given and the explicit expression of the controller is derived in terms of the solution of LIMs, Finally, a numerical example is given to illustrate the feasibility of the conclusion.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193116","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}
Rock evaluation and return are important work of lunar exploration, they should be done by the lunar rover’s hardware and software. A series of algorithms related to rock segmentation, stereo matching and 3D reconstruction which are realized by stereo vision are described in this paper. The experiments based on real image show the validity of the algorithms.
{"title":"Rock Segmentation, Matching and 3D Reconstruction Based on Stereo Vision","authors":"Hongwei Gao, Bin Li, Yang Yu, Liang Chen","doi":"10.1109/ICINIS.2010.58","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.58","url":null,"abstract":"Rock evaluation and return are important work of lunar exploration, they should be done by the lunar rover’s hardware and software. A series of algorithms related to rock segmentation, stereo matching and 3D reconstruction which are realized by stereo vision are described in this paper. The experiments based on real image show the validity of the algorithms.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128104363","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}
A novel technique of batch process monitoring based on lifting wavelet and multi-way principal component analysis (LWMPCA) is developed in this paper. The proposed technique consists of a preprocessing unit based on lifting wavelets transform in combination with MPCA. The superiority of the proposed method is illustrated by applying it to the simulation benchmark of fed-batch penicillin fermentation process with more reliable monitoring charts. The results of simulation clearly demonstrate the effectiveness and feasibility of the proposed method, which detects various faults more promptly with desirable reliability.
{"title":"Process Monitoring Approach Based on Lifting Wavelet and Multi-way Principal Component Analysis","authors":"Qing Yang, Xu Zhang, Feng Tian","doi":"10.1109/ICINIS.2010.170","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.170","url":null,"abstract":"A novel technique of batch process monitoring based on lifting wavelet and multi-way principal component analysis (LWMPCA) is developed in this paper. The proposed technique consists of a preprocessing unit based on lifting wavelets transform in combination with MPCA. The superiority of the proposed method is illustrated by applying it to the simulation benchmark of fed-batch penicillin fermentation process with more reliable monitoring charts. The results of simulation clearly demonstrate the effectiveness and feasibility of the proposed method, which detects various faults more promptly with desirable reliability.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769949","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}
The Global Navigation Satellite System(GNSS) is a high precision navigation system based on satellite, which implements worldwide, all-weather, real-time, continuous navigation and position. It is very necessary to establish a rational and flexible simulation system of GNSS, which can help to analyse the characteristics of GNSS and research on technologies of the GNSS receiver, jamming and anti-jamming etc. A GNSS simulation model is presented, which adopts a time management strategy based on time step to complete simulation synchronization and implement the simulation of GNSS effectively.
{"title":"Research on GNSS Simulation System Based on Alterable Time Granularity","authors":"Ming-hao Tian, Fang Liu, Huabiao Dong, Yongxin Feng","doi":"10.1109/ICINIS.2010.149","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.149","url":null,"abstract":"The Global Navigation Satellite System(GNSS) is a high precision navigation system based on satellite, which implements worldwide, all-weather, real-time, continuous navigation and position. It is very necessary to establish a rational and flexible simulation system of GNSS, which can help to analyse the characteristics of GNSS and research on technologies of the GNSS receiver, jamming and anti-jamming etc. A GNSS simulation model is presented, which adopts a time management strategy based on time step to complete simulation synchronization and implement the simulation of GNSS effectively.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130451311","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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