Pub Date : 2009-06-17DOI: 10.1109/CCDC.2009.5192457
Hongjun Chu, Lixin Gao
The global robust stability problem is considered for a class of uncertain stochastic Cohen-Grossberg neural networks with Markovian jumping parameters and time-delay in this paper. The time delays are mode-dependent mixed delays including discrete delays and distributed delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov chain, which are governed by a Markov process with discrete and finite state space. Based on the Lyapunov method and stochastic analysis approaches, a stability criterion is established, which can be expressed in terms of linear matrix inequalities (LMIs). Finally, a numerical example is given to demonstrate the effectiveness of the proposed results.
{"title":"A global robust stability criterion for jumping stochastic Cohen- Grossberg neural networks with mode-dependent mixed delays","authors":"Hongjun Chu, Lixin Gao","doi":"10.1109/CCDC.2009.5192457","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192457","url":null,"abstract":"The global robust stability problem is considered for a class of uncertain stochastic Cohen-Grossberg neural networks with Markovian jumping parameters and time-delay in this paper. The time delays are mode-dependent mixed delays including discrete delays and distributed delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov chain, which are governed by a Markov process with discrete and finite state space. Based on the Lyapunov method and stochastic analysis approaches, a stability criterion is established, which can be expressed in terms of linear matrix inequalities (LMIs). Finally, a numerical example is given to demonstrate the effectiveness of the proposed results.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133255752","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192277
Weihong Wang, Song Wang
To develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR systems, is one key challenge in content-based image retrieval(CBIR). In this paper, we propose a scalable content-based image retrieval scheme using locality-sensitive hashing (LSH), and conduct extensive evaluations on a large image testbed of a half million images. To the best of our knowledge, there is less comprehensive study on large-scale CBIR evaluation with a half million images. Our empirical results show that our proposed solution is able to scale for hundreds of thousands of images, which is promising for building web-scale CBIR systems.
{"title":"A method using locality-sensitive hashing for large-scale content-based image retrieval","authors":"Weihong Wang, Song Wang","doi":"10.1109/CCDC.2009.5192277","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192277","url":null,"abstract":"To develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR systems, is one key challenge in content-based image retrieval(CBIR). In this paper, we propose a scalable content-based image retrieval scheme using locality-sensitive hashing (LSH), and conduct extensive evaluations on a large image testbed of a half million images. To the best of our knowledge, there is less comprehensive study on large-scale CBIR evaluation with a half million images. Our empirical results show that our proposed solution is able to scale for hundreds of thousands of images, which is promising for building web-scale CBIR systems.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131439671","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192223
F. Du, W. Du
To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.
{"title":"Fuzzy immune control and new Smith predictor for wireless networked control systems","authors":"F. Du, W. Du","doi":"10.1109/CCDC.2009.5192223","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192223","url":null,"abstract":"To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123184118","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5191976
Xiaoh Wang
A soft-sensing method for oil, protein and starch content in the corn is developed using near-infrared reflectance spectroscopy(NIRS) and least square support vector regression(LS-SVR) techniques, and the feasibility of using different NIR spectrometers for analysis is also examined. Firstly, 90 corn samples are scanned using NIR spectrometers. Then, the original NIRS are processed with multiplicative scatter correction(MSC), Savitzky-Golay second derivative analysis and principal component analysis(PCA). Finally, the soft-sensing model for corn composition content is built using LS-SVR algorithm. The research results show that correlation coefficient (Rc) of NIRS calibrated and actual oil, protein and starch content measured by chemical method are 0.947, 0.969 and 0.948 respectively. It is proved that soft-sensing method has strong robustness for agricultural products.
{"title":"A soft-sensing method for corn composition content using NIRS and LS-SVR","authors":"Xiaoh Wang","doi":"10.1109/CCDC.2009.5191976","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5191976","url":null,"abstract":"A soft-sensing method for oil, protein and starch content in the corn is developed using near-infrared reflectance spectroscopy(NIRS) and least square support vector regression(LS-SVR) techniques, and the feasibility of using different NIR spectrometers for analysis is also examined. Firstly, 90 corn samples are scanned using NIR spectrometers. Then, the original NIRS are processed with multiplicative scatter correction(MSC), Savitzky-Golay second derivative analysis and principal component analysis(PCA). Finally, the soft-sensing model for corn composition content is built using LS-SVR algorithm. The research results show that correlation coefficient (Rc) of NIRS calibrated and actual oil, protein and starch content measured by chemical method are 0.947, 0.969 and 0.948 respectively. It is proved that soft-sensing method has strong robustness for agricultural products.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863143","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5195108
Du Zhaoping, Zhang Qingling, Li Gang, Qiao Aichun
The stability problem for singular networked control systems (NCSs) with time-varying delay is considered. Supposed that the sensor is clock-driven, the controller and actuator are event-driven, and the time-varying delay is less than one sampling period. Then, the considered system is modeled as discrete system with input delay. Based on Lyapunov stability theory and linear matrix inequality (LMI) technology, the stability criterion is derived, and the resultant state feedback controller is also given at the same time.
{"title":"Stability analysis for a class of singular networked control systems with time-varying delay","authors":"Du Zhaoping, Zhang Qingling, Li Gang, Qiao Aichun","doi":"10.1109/CCDC.2009.5195108","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5195108","url":null,"abstract":"The stability problem for singular networked control systems (NCSs) with time-varying delay is considered. Supposed that the sensor is clock-driven, the controller and actuator are event-driven, and the time-varying delay is less than one sampling period. Then, the considered system is modeled as discrete system with input delay. Based on Lyapunov stability theory and linear matrix inequality (LMI) technology, the stability criterion is derived, and the resultant state feedback controller is also given at the same time.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131304831","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}
Network congestion control system can loss stabilities caused by bifurcations and chaos. A hybrid control method is presented for controlling bifurcations and chaos to stabilize network congestion control system in this paper. Simulations confirmed the theoretical results.
{"title":"Stability and control of network congestion control system","authors":"Tao Li, Lingyun Wu, Feng Liu, Yanwu Wang, Chengjun Yang, Wu Zhang","doi":"10.1109/CCDC.2009.5195085","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5195085","url":null,"abstract":"Network congestion control system can loss stabilities caused by bifurcations and chaos. A hybrid control method is presented for controlling bifurcations and chaos to stabilize network congestion control system in this paper. Simulations confirmed the theoretical results.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115502394","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192683
Kai Huang, Z. Qiang, Zhi-gang Li, Guo Yongfang
The system of relay electric endurance test with remote management was developed, which was applied to reliability testing of relays manufacture and design of novel relay manufacture. The system which adopts advanced industrial PC technology, in conjunction with multi-function capture card and object-oriented VC language which could embed assemble program realizes two mode of management of local test of relay electric endurance with one PC as well as central-remote control of relay electric endurance with more PC. On the one hand, it provides the engineer with advanced test device and flexible test condition, on the other hand, it makes possible for relay manufacture factory to save manpower resource and material resources by means of remote management mode.
{"title":"Study on relay electric endurance test system based on remote control","authors":"Kai Huang, Z. Qiang, Zhi-gang Li, Guo Yongfang","doi":"10.1109/CCDC.2009.5192683","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192683","url":null,"abstract":"The system of relay electric endurance test with remote management was developed, which was applied to reliability testing of relays manufacture and design of novel relay manufacture. The system which adopts advanced industrial PC technology, in conjunction with multi-function capture card and object-oriented VC language which could embed assemble program realizes two mode of management of local test of relay electric endurance with one PC as well as central-remote control of relay electric endurance with more PC. On the one hand, it provides the engineer with advanced test device and flexible test condition, on the other hand, it makes possible for relay manufacture factory to save manpower resource and material resources by means of remote management mode.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115595436","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5195194
Yifu Feng, Qingling Zhang
This paper is concerned with the suboptimal robust controller design of discrete-time networked control systems (NCSs) with nonlinear perturbation. In terms of the given model, a suboptimal robust controller design method is proposed based on linear matrix inequalities (LMIs) approach. Suboptimal maximal allowable perturbation degree and the minimal feedback gain of a memoryless controller are derived by solving a set of LMIs based on Lyapunov functional method. The simulation results illustrate the effectiveness of the proposed method.
{"title":"Suboptimal robust controller design for networked control systems with nonlinear perturbation","authors":"Yifu Feng, Qingling Zhang","doi":"10.1109/CCDC.2009.5195194","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5195194","url":null,"abstract":"This paper is concerned with the suboptimal robust controller design of discrete-time networked control systems (NCSs) with nonlinear perturbation. In terms of the given model, a suboptimal robust controller design method is proposed based on linear matrix inequalities (LMIs) approach. Suboptimal maximal allowable perturbation degree and the minimal feedback gain of a memoryless controller are derived by solving a set of LMIs based on Lyapunov functional method. The simulation results illustrate the effectiveness of the proposed method.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115774302","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192095
Wang Xianmei, Chi Jiannan, Wang Zhiliang
This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental results show that the new method is efficient and robust to images in different rotation angles. It can work effectively with no limits to the open eyes, two eyebrows or two eyes. The mismatching of the eyebrow and eye on the different side can also be decrease.
{"title":"Eyes location by regional features and knowledge matching for driver fatigue detection","authors":"Wang Xianmei, Chi Jiannan, Wang Zhiliang","doi":"10.1109/CCDC.2009.5192095","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192095","url":null,"abstract":"This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental results show that the new method is efficient and robust to images in different rotation angles. It can work effectively with no limits to the open eyes, two eyebrows or two eyes. The mismatching of the eyebrow and eye on the different side can also be decrease.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924901","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192316
Rui Zhang, Yuanwei Jing, Zhanshan Wang
In this paper, the global exponential stability is discussed for Cohen-Grossgerg neural network with time varying delays. On the basis of the linear matrix inequalities (LMIs) technique, and Lyapunov functional method combined with the Bellman inequality and Jensen inequality technique, we have obtained two main conditions to ensure the global exponential stability of the equilibrium point for this system, one of which is dependent on the change rate of time varying delays, and the other is dependent on the upper bound of time varying delays. The proposed results are less restrictive than those given in the earlier literatures, easier to check in practice, and suitable of the cases of slow or fast time varying delays. Remarks are made with other previous works to show the superiority of the obtained results, and the simulation examples are used to demonstrate the effectiveness of our results.
{"title":"Global exponential stability of Cohen-Grossberg neural network with time varying delays","authors":"Rui Zhang, Yuanwei Jing, Zhanshan Wang","doi":"10.1109/CCDC.2009.5192316","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192316","url":null,"abstract":"In this paper, the global exponential stability is discussed for Cohen-Grossgerg neural network with time varying delays. On the basis of the linear matrix inequalities (LMIs) technique, and Lyapunov functional method combined with the Bellman inequality and Jensen inequality technique, we have obtained two main conditions to ensure the global exponential stability of the equilibrium point for this system, one of which is dependent on the change rate of time varying delays, and the other is dependent on the upper bound of time varying delays. The proposed results are less restrictive than those given in the earlier literatures, easier to check in practice, and suitable of the cases of slow or fast time varying delays. Remarks are made with other previous works to show the superiority of the obtained results, and the simulation examples are used to demonstrate the effectiveness of our results.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124188310","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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