{"title":"A self-localization algorithm for wireless sensor networks","authors":"Juelong Li, X. Du, Jianchun Xing, Qiliang Yang","doi":"10.1109/CCDC.2012.6243098","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6243098","url":null,"abstract":"Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algorithm and Mass Spring Optimization-based (MSO) positioning algorithm. Moreover, for different ranging error, network connectivity and anchor node density, MDS-MAP, MSO, MDS-MAP(P) and MDS-MS four localization algorithms were simulated and compared. The simulation results show that MDS-MS-based algorithm possesses strong robustness and high positioning precision, and is fit for localization in sparse network topology and irregular network topology.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116422647","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}
{"title":"An extension of LaSalle's invariance principle for discontinuous systems","authors":"Jumei Wei, X. Mu, Rui Ma","doi":"10.1109/CCDC.2012.6244562","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244562","url":null,"abstract":"In this paper, discontinuous righthand sides dynamical systems are considered. An extension of LaSalle invariance principle is presented by using locally Lipschitz continuous and nonpathological Lyapunnov functions. This result is used to locate chaotic attractors of studied systems, and less restrictive conditions are required. Numerical example has been given to illustrate the correctness of the theorem.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123417220","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}
Liying Jiang, B. Xu, Jianhui Xi, Jianguo Cui, Li Fu
{"title":"Improved confidence limits of T2 statistic for monitoring batch processes","authors":"Liying Jiang, B. Xu, Jianhui Xi, Jianguo Cui, Li Fu","doi":"10.1109/CCDC.2012.6243070","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6243070","url":null,"abstract":"Multiway principal component analysis (MPCA) is an effective method for batch processes monitoring and fault detection, but it is shown that the low sensitive of T2 statistic and the high confidence limits of T2 statistic commonly appeared in practical monitoring. In order to overcome these shortcomings, an improved method of determining the T2 confidence limits is proposed. The T2 values of normal history data are organized as a new sample dataset after building MPCA model. By applying PCA to this dataset, the confidence limits of T2 statistic will be attained. The simulation results of penicillin fermentation process platform show that the proposed method is able to detect faults more prompt and accurate than traditional method.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123607336","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}
{"title":"Control of hydrogen production by water electrolysis based on self-turning fuzzy-PI","authors":"Gu Deying, L. Yingying","doi":"10.1109/CCDC.2012.6244275","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244275","url":null,"abstract":"On the basis of production process requirements of hydrogen production by water electrolysis, the core controller of the control system employs S7-200 PLC. The rectified current settings are adjusted automatically according to the relationship between electrolyte conductivity and temperature. precise control of the rectifier current and accurate measurement of various parameters is realized by using PI control algorithm to ensure the hydrogen gas production and purity. The system is easy operation and high reliability.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123652947","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}
{"title":"Visual servo system design based on embedded Linux","authors":"Y. Chao, Y. Yang, Yu Lin Xu","doi":"10.1109/CCDC.2012.6244438","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244438","url":null,"abstract":"This thesis concerns the establishment of a visual servo system based on embedded Linux mainly used for recognition and tracking of the moving objects in a relatively simple background of the house. At first, the thesis studied the successful transplant of the open source visual library Open CV to the embedded Linux and the build of the hardware/software platform and cross-compiling environment. The image of the moving object is processed via Open CV. The shape recognition of the moving object is achieved according to the feature information of provincial characteristics of image-moment invariants. The spatial value of manipulator end is calculated by the estimate of the offset of the moving project's profile and then the angles of the mechanical arms' joints are adjusted accordingly. These conditions would be approximated gradually to achieve the tracking of the moving object.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122031992","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}
{"title":"A fault isolation method using interval arithmetic for nonlinear dynamic systems","authors":"Ze-tao Li, B. Dahhou, Qiao Li","doi":"10.1109/CCDC.2012.6243015","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6243015","url":null,"abstract":"In this work interval arithmetic is used for the calculation of interval envelopes in the parameter interval based fault isolation method. Thanks the advantage of interval arithmetic of without dependence on the monotonic of model parameters, the application of the parameter interval based fault isolation method can be extended to multi-parameters fault.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"71 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125978828","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}
{"title":"PD-type iterative learning algorithm for uncertain time-delay systems","authors":"J. Xu, Yanxin Zhang","doi":"10.1109/CCDC.2012.6243040","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6243040","url":null,"abstract":"In this paper, for a class of NCS with uncertain time delay, a PD-type iterative learning algorithm (ILC) is proposed to compensate the time delay. Based on the strictly repetition of the initial state, the sufficient conditions which guarantee the uniform convergence of the ILC is given. And the limit output trajectories generated by the action of the ILC are also presented. Then, comparing with the efficiency of the P-type ILC algorithm, it is shown that the PD-type ILC is more effective to compensate the time delay. For the case that the range of the time delay becomes smaller, it can track the output trajectories more precisely than the P-type ILC algorithm. Moreover, under the same number of iteration, the PD-type ILC algorithm can track the state trajectories faster than the P-type ones.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660953","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}
{"title":"Research of the pressure control of rupture disc detection system based on adaptive PID algorithm","authors":"L. Huiming, Z. Zhiyi","doi":"10.1109/CCDC.2012.6244415","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244415","url":null,"abstract":"Based on GB567-1999 “Bursting discs and bursting disc devices”, the rupture disc detection system is developed. The adaptive PID model is established according to the pressure characteristic. combined with the detecting system's actual requirements. It solves the problem of gas leak and heat dissipation during the disc detecting, so as to control the rupture disc detecting conditions accurately.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124822585","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}
{"title":"Polynomial algorithms to check opacity in discrete event systems","authors":"Bo Zhang, Shaolong Shu, F. Lin","doi":"10.1109/CCDC.2012.6244117","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244117","url":null,"abstract":"Because of its importance, opacity has been investigated in the literature. Recently, we propose general definitions of strong opacity and weak opacity that capture other properties such as secrecy, anonymity, observability, diagnosability, and detectability as special cases of opacity. In this paper, we investigate the problem of checking opacity. By using a detector rather than an observer, we show that weak opacity can be determined in polynomial complexity by providing an algorithm of polynomial complexity to check weak opacity. The results and algorithm are illustrated by examples.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125004207","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}
{"title":"Application of data mining to production operation and control system in oil field","authors":"Tong Wang, Xian-wen Gao, Kun Li","doi":"10.1109/CCDC.2012.6242979","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6242979","url":null,"abstract":"Introduces the basic concept of data mining technology and the commonly used methods of it, and describes the function of data mining technology and its application in general industrial production. Respectively summarize the application status of the data mining technology to production operation process in oil field, around production operation control, production operation parameter prediction, the production process fault monitoring, and production operation cost control. Explores the production application prospect of data mining technology in the oil field and finds the related operation problem of it.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405450","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}