Pub Date : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280191
Dongyan Ding, Hongqing Liu, Yong Li, Yi Zhou
The frequency estimation problem is studied in this work in the presence of missing measurements. The approach developed in this work is mainly inspired by sparse signal theory. To find a sparse representation of frequency estimation problem, a DFT-like matrix is created in which the frequency sparsity is discovered. The missing measurements are modeled by a sparse representation as well where missing samples are set to be zeros. Based on this model, the missing pattern represented by a vector in this work is indeed sparse since it only contains zeros and ones. Therefore, by exploring the sparsity of both frequency and missing petters, a joint estimation is devised under optimization framework. To solve that optimization problem, a two-step process is proposed as well. Numerical studies demonstrate that the joint estimation offers precise and consistent results.
{"title":"Frequency estimation with missing measurements","authors":"Dongyan Ding, Hongqing Liu, Yong Li, Yi Zhou","doi":"10.1109/ICEDIF.2015.7280191","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280191","url":null,"abstract":"The frequency estimation problem is studied in this work in the presence of missing measurements. The approach developed in this work is mainly inspired by sparse signal theory. To find a sparse representation of frequency estimation problem, a DFT-like matrix is created in which the frequency sparsity is discovered. The missing measurements are modeled by a sparse representation as well where missing samples are set to be zeros. Based on this model, the missing pattern represented by a vector in this work is indeed sparse since it only contains zeros and ones. Therefore, by exploring the sparsity of both frequency and missing petters, a joint estimation is devised under optimization framework. To solve that optimization problem, a two-step process is proposed as well. Numerical studies demonstrate that the joint estimation offers precise and consistent results.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128524383","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280170
Xuemei Wang, Z. Deng
For the linear discrete time multisensor system with uncertain model parameters and noise variances, the centralized fusion robust steady-state Kalman filter is presented by a new approach of compensating the parameter uncertainties by a fictitious noise. Based on the minimax robust estimation principle, a robust centralized fusion Kalman filter is presented based on the worst-case conservative systems with the conservative upper bounds of noise variances. It proves robustness by the Lyapunov approach. Its robust accuracy is higher than that of each local robust Kalman filter. A simulation example shows how to search the robust region of uncertain parameters and the good performance of the proposed robust Kalman filter.
{"title":"Robust centralized fusion steady-state Kalman filter for multisensor uncertain systems","authors":"Xuemei Wang, Z. Deng","doi":"10.1109/ICEDIF.2015.7280170","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280170","url":null,"abstract":"For the linear discrete time multisensor system with uncertain model parameters and noise variances, the centralized fusion robust steady-state Kalman filter is presented by a new approach of compensating the parameter uncertainties by a fictitious noise. Based on the minimax robust estimation principle, a robust centralized fusion Kalman filter is presented based on the worst-case conservative systems with the conservative upper bounds of noise variances. It proves robustness by the Lyapunov approach. Its robust accuracy is higher than that of each local robust Kalman filter. A simulation example shows how to search the robust region of uncertain parameters and the good performance of the proposed robust Kalman filter.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995939","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280214
Kun Tian, Haihua Yu
This paper is concerned with the problem of robust non-fragile fault-tolerant H∞ control for a type of uncertain linear systems with state-delay. We design a fault-tolerant state feedback controller with parameter perturbation such that the fault closed-loop system is asymptotically stable and satisfies the H∞ performance index. Based on Lyapunov function method the sufficient condition of the problem is presented as an LMI and the state feedback gain can be obtained in virtue of the solution to the LMI in practical application. The controller designed by this method can ensure the robustness and H∞ property. Finally, a numerical example illustrates the effectiveness of the approach.
{"title":"Robust non-fragile fault-tolerant H∞ control for time-delay uncertain linear systems","authors":"Kun Tian, Haihua Yu","doi":"10.1109/ICEDIF.2015.7280214","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280214","url":null,"abstract":"This paper is concerned with the problem of robust non-fragile fault-tolerant H∞ control for a type of uncertain linear systems with state-delay. We design a fault-tolerant state feedback controller with parameter perturbation such that the fault closed-loop system is asymptotically stable and satisfies the H∞ performance index. Based on Lyapunov function method the sufficient condition of the problem is presented as an LMI and the state feedback gain can be obtained in virtue of the solution to the LMI in practical application. The controller designed by this method can ensure the robustness and H∞ property. Finally, a numerical example illustrates the effectiveness of the approach.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121964797","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280226
He Yun-tao, Meng Xiu-yun
This paper is mainly about a nonlinear control method applied to BTT missile system based on time scale method and dynamic inversion. Firstly, a 6-DOF nonlinear model of Have Dash II missile is established, then the model is divided into two subsystem according to different time scales. Secondly, both subsystem control law are designed based on dynamic inversion. And the sliding mode controller is designed when the perturbation is existed. Finally, the control method is proved to verify the feasibility and precision of the model.
{"title":"A nonlinear control method applied to Bank-to-Turn missile system","authors":"He Yun-tao, Meng Xiu-yun","doi":"10.1109/ICEDIF.2015.7280226","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280226","url":null,"abstract":"This paper is mainly about a nonlinear control method applied to BTT missile system based on time scale method and dynamic inversion. Firstly, a 6-DOF nonlinear model of Have Dash II missile is established, then the model is divided into two subsystem according to different time scales. Secondly, both subsystem control law are designed based on dynamic inversion. And the sliding mode controller is designed when the perturbation is existed. Finally, the control method is proved to verify the feasibility and precision of the model.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132447279","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280192
Luming Zhao, Hongqing Liu, Yong Li, Yi Zhou
This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of sensor's gain and phase uncertainties. The main motivation in our work is to explore the signal sparse property. The DOA sparsity is relatively easy to be discovered since the spectrum of signal is sparse in spatial domain. One existing finding on uncertainty matrix is it is a sparse matrix since it only is diagonal. To combat the gain and phase uncertainties, a direct estimate of uncertainty matrix is developed by utilizing its sparse property. By exploring the sparsity of both the DOAs and uncertainties of gain and phase, a two-step iterative process is proposed to achieve a joint estimation of DOAs and gain and phase uncertainties. Numerical studies are presented to demonstrate the effectiveness of the joint estimation.
{"title":"DOA estimation under sensor gain and phase uncertainties","authors":"Luming Zhao, Hongqing Liu, Yong Li, Yi Zhou","doi":"10.1109/ICEDIF.2015.7280192","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280192","url":null,"abstract":"This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of sensor's gain and phase uncertainties. The main motivation in our work is to explore the signal sparse property. The DOA sparsity is relatively easy to be discovered since the spectrum of signal is sparse in spatial domain. One existing finding on uncertainty matrix is it is a sparse matrix since it only is diagonal. To combat the gain and phase uncertainties, a direct estimate of uncertainty matrix is developed by utilizing its sparse property. By exploring the sparsity of both the DOAs and uncertainties of gain and phase, a two-step iterative process is proposed to achieve a joint estimation of DOAs and gain and phase uncertainties. Numerical studies are presented to demonstrate the effectiveness of the joint estimation.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"211 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354885","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280228
Liu Rui, Zhou Jun
This paper mainly considered the Satellite components sensor location method considering time delay of the system information transmission under diagnostic criteria. A method of transferring the dynamic signed directed graph (SDG) to the static SDG was proposed. After that, technique on sensor location was researched using the static SDG. Means of defining the root nodes that represented the diagnostic character, including the detectability and the isolability, were put forward. Incidence matrix was introduced in order to up build the relationship between the root nodes and the senor points. Finally, greedy arithmetic was used to complete the sensor location satisfied the diagnostic criteria.
{"title":"Satellite components sensor location considering time delay under diagnostic criteria","authors":"Liu Rui, Zhou Jun","doi":"10.1109/ICEDIF.2015.7280228","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280228","url":null,"abstract":"This paper mainly considered the Satellite components sensor location method considering time delay of the system information transmission under diagnostic criteria. A method of transferring the dynamic signed directed graph (SDG) to the static SDG was proposed. After that, technique on sensor location was researched using the static SDG. Means of defining the root nodes that represented the diagnostic character, including the detectability and the isolability, were put forward. Incidence matrix was introduced in order to up build the relationship between the root nodes and the senor points. Finally, greedy arithmetic was used to complete the sensor location satisfied the diagnostic criteria.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125566893","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280148
Xin Wang, Shuli Sun, Yingfang Shi
For the multisensor linear discrete time-invariant stochastic system with unknown noise variances, the new measurement system is constructed by using matrix pseudo-inverse method, which can yield many groups of new measurement sequences by cooperating work. Furthermore, the statistics characteristics of the new measurement sequences are analyzed to determine whether the sensors are faulting or not. The self-tuning cooperation fault-torlerance algorithm are presented. Meanwhile, the linear matrix equations are constructed about measurement noise variances. Then the measurement noise variances are found by solving the equations. A simulation example for a tracking system with 3-sensor shows its effectiveness.
{"title":"Fault detection and noise variance identifier with cooperation fault-torlerance for multisensor system","authors":"Xin Wang, Shuli Sun, Yingfang Shi","doi":"10.1109/ICEDIF.2015.7280148","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280148","url":null,"abstract":"For the multisensor linear discrete time-invariant stochastic system with unknown noise variances, the new measurement system is constructed by using matrix pseudo-inverse method, which can yield many groups of new measurement sequences by cooperating work. Furthermore, the statistics characteristics of the new measurement sequences are analyzed to determine whether the sensors are faulting or not. The self-tuning cooperation fault-torlerance algorithm are presented. Meanwhile, the linear matrix equations are constructed about measurement noise variances. Then the measurement noise variances are found by solving the equations. A simulation example for a tracking system with 3-sensor shows its effectiveness.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125038800","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280216
Zhenyu Han, Hongyu Jin, Hongya Fu
Determination of the cutting force during metal machining process is of particular importance because of its controlling influence to cutting deformation, tool wear, tool life, as well as the quality of machined part. Numerous attempts have been made to approach this problem with different methods, such as analytical, empirical, numerical, hybrid models. But the complexity of cutting process makes it extremely difficult to predict in a precise manner or even assess the performance of various models. In this paper, previous research including state-of-the-art publications in predicting models of cutting force during metal machining is briefly reviewed. The strengths and weaknesses of different models are analyzed by concerning several topics. Based on the review and assessment of available models, it could be concluded that numerical and hybrid models will be increasingly concerned due to the development of information technology though analytical and empirical models have dominated in the past few decades. Finally, this work also aims at giving a perspective in such area in the future, based on the known researches.
{"title":"Cutting force prediction models of metal machining processes: A review","authors":"Zhenyu Han, Hongyu Jin, Hongya Fu","doi":"10.1109/ICEDIF.2015.7280216","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280216","url":null,"abstract":"Determination of the cutting force during metal machining process is of particular importance because of its controlling influence to cutting deformation, tool wear, tool life, as well as the quality of machined part. Numerous attempts have been made to approach this problem with different methods, such as analytical, empirical, numerical, hybrid models. But the complexity of cutting process makes it extremely difficult to predict in a precise manner or even assess the performance of various models. In this paper, previous research including state-of-the-art publications in predicting models of cutting force during metal machining is briefly reviewed. The strengths and weaknesses of different models are analyzed by concerning several topics. Based on the review and assessment of available models, it could be concluded that numerical and hybrid models will be increasingly concerned due to the development of information technology though analytical and empirical models have dominated in the past few decades. Finally, this work also aims at giving a perspective in such area in the future, based on the known researches.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116833230","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280210
Hongyan Wang, Runjing Zhou
In order to calculate the time series of source synchronous clock system, it is critical to sort out the full path that clock and data signals pass. Firstly, there is an analysis on relatively simple common clock system and a detailed description about the structure and timing margin of source synchronous clock system. Finally, taking the on board DDR3bus in high-speed circuit, which comes from our project, as an example, we validate DDR3 source synchronous clock system by the use of System SI, making the timing analysis in source synchronous clock system more streamlined and intuitive. In this paper, a new and effective analysis method applied to timing integrity of high-speed bus in the high-speed PCB design is provided, which can greatly reduce the risk and cost in the development.
{"title":"Simulation and verification of DDR3 SourceSynchronous clock system based-on SystemSI","authors":"Hongyan Wang, Runjing Zhou","doi":"10.1109/ICEDIF.2015.7280210","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280210","url":null,"abstract":"In order to calculate the time series of source synchronous clock system, it is critical to sort out the full path that clock and data signals pass. Firstly, there is an analysis on relatively simple common clock system and a detailed description about the structure and timing margin of source synchronous clock system. Finally, taking the on board DDR3bus in high-speed circuit, which comes from our project, as an example, we validate DDR3 source synchronous clock system by the use of System SI, making the timing analysis in source synchronous clock system more streamlined and intuitive. In this paper, a new and effective analysis method applied to timing integrity of high-speed bus in the high-speed PCB design is provided, which can greatly reduce the risk and cost in the development.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125626840","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 : 1900-01-01DOI: 10.1109/ICEDIF.2015.7280205
Jie-sheng Wang, Chen-Xu Ning, Wen-Hua Cui
For improving the forecasting accuracy of bank cash flow, a combined model based on back propagation (BP) neural network and grey prediction method is put forward based on the merits and demerits of both BP neural network and grey model prediction method. The proposed method has the advantage of two methods and makes up the deficiencies of single model as well. It can efficiently reduce the influence of predicting precision caused by high data fluctuation, and is also capable of enhancing the self-adaptability of forecasting. The accumulation generating operation of grey prediction method is used to transform the original data to generate the accumulated data with better regularity so as to facilitate the neural network modeling and training. By using the function approximation feature of neural network, the prediction of raw bank cash flow data can be realized. The simulation comparison experiments and the results show the BP neural network can revise the GM (1, 1) so that the predictive accuracy of the combined model is higher than individual GM (1, 1).
{"title":"Time series prediction of bank cash flow based on grey neural network algorithm","authors":"Jie-sheng Wang, Chen-Xu Ning, Wen-Hua Cui","doi":"10.1109/ICEDIF.2015.7280205","DOIUrl":"https://doi.org/10.1109/ICEDIF.2015.7280205","url":null,"abstract":"For improving the forecasting accuracy of bank cash flow, a combined model based on back propagation (BP) neural network and grey prediction method is put forward based on the merits and demerits of both BP neural network and grey model prediction method. The proposed method has the advantage of two methods and makes up the deficiencies of single model as well. It can efficiently reduce the influence of predicting precision caused by high data fluctuation, and is also capable of enhancing the self-adaptability of forecasting. The accumulation generating operation of grey prediction method is used to transform the original data to generate the accumulated data with better regularity so as to facilitate the neural network modeling and training. By using the function approximation feature of neural network, the prediction of raw bank cash flow data can be realized. The simulation comparison experiments and the results show the BP neural network can revise the GM (1, 1) so that the predictive accuracy of the combined model is higher than individual GM (1, 1).","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133334447","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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