{"title":"Field calibration for platform inertial navigation system based on RHKF","authors":"Fan Mo, Z. Deng, Bo Wang, M. Fu","doi":"10.1109/ICICIP.2010.5565272","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565272","url":null,"abstract":"In this paper, a calibration method for platform inertial navigation system is proposed. By using this method, the calibration process can be completed without any turntables. For the inertial navigation platform which has full degrees of freedom in Yaw axis and ±60° degrees of freedom in the Roll and Pitch axis, a four-position field calibration method using receding horizon Kalman filter (RHKF) is proposed; scale factors and drifts of two horizontal gyros are estimated; based on local gravitational acceleration, scale factors and biases of accelerometers are also estimated. Simulation results show that compared with the traditional Kalman filter method, the method based on RHKF guarantees the rapidity and accuracy of the calibration, which can be adopted in the engineering applications.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124162653","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":"Stereovision based obstacle detection approach for mobile robot navigation","authors":"Ming Bai, Yan Zhuang, Wei Wang","doi":"10.1109/ICICIP.2010.5565220","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565220","url":null,"abstract":"An obstacle detection approach based on stereo vision is proposed for mobile robot navigation. The aim of the approach is to detect a real environment to allow a mobile robot to find a safe path even in complex scenarios. Our novelty is represented in terms of the two-stage perception structure. The detection stage infers the relationship between obstacles and a ground, and determines the region of interest. Based on this, the confirmation stage focuses on characterizing the contours and positions of obstacles and getting rid of most artefacts. The approach synthesizes the statistical information of projections and depth discontinuities in the region of interest to characterize obstacles. The detection-confirmation structure is robust to various lighting conditions, effective to negative obstacles, free to specular reflection effect, and real-time response to the interference from dynamic obstacles. Experimental results verified the effectiveness, reliability and real-time performance of the proposed approach.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114620354","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":"Disturbance attenuation and rejection for MIMO systems with stability degree constraint","authors":"Jiliang Shang, De-xin Gao","doi":"10.1109/ICICIP.2010.5564256","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564256","url":null,"abstract":"This paper considers the optimal disturbance attenuation and rejection problem for MIMO systems affected by external sinusoidal disturbances based on stability degree constraint. The objective is to find an LQR optimal controller, by which the cost function minimum and the state with the optimal having a higher mean-square convergence rate can be obtained. A LQR control law is derive from a Riccati equation and Matrix equations. We give the existence and uniqueness conditions of the optimal control law. Finally, a practical example is given to illustrate the effectiveness of the theory","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114707758","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 on automatic detection for defect on bearing cylindrical surface","authors":"L. Chen, Yongqing Chen, Kun Wang, Zhen Zhang","doi":"10.1109/ICICIP.2010.5565229","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565229","url":null,"abstract":"At present, it is still by using manual method to detect the defects on micro bearing surface. The method is laborious and time consuming. Moreover, it has a low efficiency and high miss-detection rate. Due to the fact, an on-line automatic detection system is developed using linear CCD. The proposed system is composed of three subsystems: the detection environment setting subsystem, the automatic detection subsystem, and the data management subsystem. In order to lead the above subsystems to cooperate with each other, control software is developed with LabVIEW 8.5 as a platform. Experimental results indicate that the system realizes the predefined functions and caters to the requirements of stability, real-time performance, and accuracy. Thus it can be applied for actual production.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986562","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":"Spatial Synchronized Parallel Formation for Autonomous Underwater Vehicles Fleet","authors":"Jiu-cai Jin, Jie Zhang, Sheng Guan, Yanfeng Wang","doi":"10.1109/ICICIP.2010.5564217","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564217","url":null,"abstract":"A cooperative control method of particles fleet was developed and used for autonomous underwater vehicles (AUVs) fleet's synchronized parallel formation in space. Based coupled phase oscillators' theory, particles model for variable speed was constructed. The velocity matching and virtual leader control law was designed, which was proved to guarantee the AUVs fleet synchronized parallel running along with the orientation of virtual leader. The convergence was analyzed. The numerical simulation results for spatial synchronized parallel formations were presented.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"30 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123584304","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":"Developing real-time manufacturing execution system for automobile assembly factory","authors":"Gang Huang, X. Yuan, Jinhang Li","doi":"10.1109/ICICIP.2010.5565325","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565325","url":null,"abstract":"With the enhancement of the modern automobile manufacturing capacity, Takt time becomes shorter with the growth of automobile production, product configurations become more diverse with the increase of customizing requirements, traditional data acquisition methods and manufacturing resource identification methods cannot meet the need of manufacturing execution system (MES) in job shop scheduling, work in process (WIP) tracking, rapid response of process control and so on. As an automatic identification technology, Radio Frequency Identification (RFID) can be applied to bridge the gap between physical flow of product/part and information flow in enterprise application system due to its characteristics such as automatic identification, long-distance reading, and non-line-of sight. Based on this characteristic, this paper design a real-time MES (RT-MES) for automobile production and successfully implements this system based on the actual situation of JAC.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116995585","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":"H∞ state feedback control for UAV maneuver trajectory tracking","authors":"Yusong Jiao, Juan Du, Xinmin Wang, R. Xie","doi":"10.1109/ICICIP.2010.5564257","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564257","url":null,"abstract":"In this paper a trajectory tracking system for UAV is studied. The system consists of a flight control system and a guidance law. In inner loop, robust H∞ control theory is used to design the flight control system. In outer loop, the navigation control commands are produced by the deviation of the real position data of UAV and the preset flight path. The attitude commands are calculated from navigation control commands and are fed into the inner loop as input signals. Simulation results are presented to illustrate the performance of the trajectory tracking control system. The results show the effectiveness and practicability of the control method.??","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124052688","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}
Yongchang Ren, Tao Xing, Xiaoji Chen, Qiang Quan, Ying Zhao
{"title":"A method of fuzzy rule representation in expert system","authors":"Yongchang Ren, Tao Xing, Xiaoji Chen, Qiang Quan, Ying Zhao","doi":"10.1109/ICICIP.2010.5565293","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565293","url":null,"abstract":"Fuzzy rule representation is a core of the model expert system, through analysis of traditional knowledge representation implementation disadvantages of method, propose the combine a database and knowledge base integration, using a relational database to express fuzzy rules knowledge. First, knowledge base of rules designed to convert the method to the database and corresponding table structure, and then describe the fuzzy rules, study the cartesian product of fuzzy rules based on the relationship between representation. Finally, concrete example of fuzzy rule representation. Using this method, the advantage is that queries can be used in place of reasoning, improve the treatment efficiency.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124817423","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":"Variable gain LQG controller for enhancement of dynamic performance for stochastic nonlinear systems","authors":"Yongli Zhang, Hongxing Li, Yan-Rong Tan","doi":"10.1109/ICICIP.2010.5564267","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564267","url":null,"abstract":"In this paper, the variable gain LQG controller (VGLQGC) is designed for enhancement of dynamic performance for stochastic nonlinear systems. At sampling points the state variables of nonlinear control system with correlated noise is estimated by utilizing extended Kalman filter (EKF). In every sampling interval, according to the estimated state variables the optimal control is obtained by variable gain linear quadric regulator (VGLQR) based on separation principle. The controller has been validated by applying it to control a double inverted pendulum which is an inherently unstable system. The simulation experimental results show that the new scheme can effectively improve the dynamic performance.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128187592","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":"Choquet integral based samples reduction in multiple classifiers combination","authors":"Junfen Chen, Huili Pei, Yan Li","doi":"10.1109/ICICIP.2010.5564200","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564200","url":null,"abstract":"Choquet integral with regards to a non-additive set function μ is a useful combination tool when we consider the interactions between classifiers. This combination method works very well at the expense of run time and the memory space. This paper introduces samples reduction technology to degrade the complexity of determining the non-additive set functionsμ which is determined by genetic algorithm. Reducing samples in training set refers to reduction the outputs of every classifier not the samples themselves. The simulated experiments illustrate that the samples reduction technology can low run time of determining the non-additive set function μ, at the same time, the generalization ability of multiple classifiers combination system is improved mostly.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129554909","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}