{"title":"Actuator and sensor fault reconstruction for a class of uncertain linear systems","authors":"Yang Junqi, Zhu Fang-lai, W. Xin","doi":"10.1109/CHICC.2015.7260608","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260608","url":null,"abstract":"This paper considers the simultaneous actuator and sensor fault reconstruction problems for linear systems when the observer matching condition is not satisfied. A new augmented system is constructed and an auxiliary output vector is proposed so that the observer matching condition is satisfied. A high-order sliding mode observer is considered to obtain the exact estimates of both the auxiliary outputs and their derivatives. A kind of actuator and sensor fault reconstruction method is developed based on a reduced-order observer and the high-order sliding mode observer. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed methods.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131592675","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":"Parameter-dependent H2 state estimation for nonlinearl systems","authors":"Yin Yu, Z. Li, Xiangdong Liu, Bing Liu","doi":"10.1109/CHICC.2015.7259767","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259767","url":null,"abstract":"The state estimation of general nonlinear systems is investigated through a parameter-dependent approach. This paper adopts the polytopic approximation for the nonlinear systems, which facilitates the application of analytical approaches for resultant convex-bounded linear systems into the given nonlinear systems. The design of a high performance H2 state estimator is firstly determined by solving a convex optimization problem constrained by relaxed linear matrix inequalities (LMIs). The tensor product (TP) model transformation is then adopted to obtain the polytopic linearization. Specifically, A new process is presented to correct the result of the TP model transformation such that a necessary condition to solve the state estimation problem is assured. Finally, a numerical simulation is performed to illustrate the design process and verify the performance.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936731","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":"Sliding mode control for network control systems with packets dropout","authors":"Luyang Zhang, Ling Zhao, Li Li","doi":"10.1109/CHICC.2015.7260677","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260677","url":null,"abstract":"In this paper, we investigate the problems of stabilization of networked control systems with packets dropout via delta operator approach. A sliding mode controller is constructed to analyze the stochastic stability of the closed-loop networked control systems. The process of packets dropout is modeled as a Bernoulli process. Sufficient LMI conditions are developed to guarantee the existence of the discrete linear sliding surfaces. By solving the conditions, a linear sliding surface is characterized and a sliding mode controller is designed. Simulation results are given to demonstrate the effectiveness of the proposed approach.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125645497","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":"Recursive nonparametric regression with errors in variables","authors":"Xing-Min Chen, Chao Gao","doi":"10.1109/CHICC.2015.7259956","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259956","url":null,"abstract":"Recursive estimation for nonparametric regression with errors in variables is considered in this paper. Based on the deconvolution kernel, recursive estimate for the regression function is given. Strong consistency is established when observation noises are ordinary smooth or supper smooth. Finally a numerical simulation is provided to justify the theoretical analysis.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121073924","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":"Controller performance assessment for switched linear systems via applying non-negative tensor factorization","authors":"Deng-Yin Jiang, Li-Sheng Hu","doi":"10.1109/CHICC.2015.7259974","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259974","url":null,"abstract":"This paper considers the controller performance assessment problem based on the data-driven benchmark by applying the tensor approach for switched systems. For each subprocess, the multivariate output with finite sample numbers is extracted regarding as the forms of feature matrices. Consequently, by stacking the feature matrices associated to any data set samplings, a tensor is created, a fact which necessitates studying the controller performance assessment for switched systems considered using tensors. In order to fit the multiple invariance of the measurement output tensor data processing for controller performance assessment, the non-negative tensor factorization model is proposed to analyze the tensor data, which stems from uniqueness of low-rank decomposition of higher-order tensor. By using the non-negative tensor factorization, the estimated latent outputs structure combining with the covariance-based algorithm are given to derive the data-driven performance benchmark and performance index for each subprocess controller, and the presented data-driven benchmark estimation algorithm requires a set of close-loop routine operating data. A simulation example is provided to test the effectiveness and advantages of proposed method.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116036876","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":"Fault detection and estimation for discrete-time switched systems","authors":"Dongsheng Du, Yan Yang","doi":"10.1109/CHICC.2015.7260644","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260644","url":null,"abstract":"In this paper, a novel fault detection and estimation method is proposed for discrete-time switched systems. In the proposed design, a fault detection observer with online learning capability is utilized to generate a residual which is obtained by comparing the system output with respect to the observer output. A fault is successfully detected if the generated residual exceeds an a priori chosen threshold. Subsequently, the fault magnitude is estimated online by using a suitable parameter update law.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126895980","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 novel approach of tuning trapezoidal velocity profile for energy saving in servomotor systems","authors":"Zhu Yu, Chen Han, Mu Haihua","doi":"10.1109/CHICC.2015.7260323","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260323","url":null,"abstract":"In industrial servomotor systems, motion planning for energy saving has become one of the most important issues due to energy crisis and heat-reduction request. Departing from existing approaches that are computationally complex, this paper investigates the trapezoidal velocity profile and explores its potential for achieving energy saving, as such profile is very simple and has been widely used in industrial practice. Specially, the tuning of energy-saving trapezoidal velocity profile is successfully formulated into a strictly quasi-convex optimization problem with respect to a selected tuning parameter. By adopting the bisection method, the resultant algorithm is computationally efficient and applicable even for the low-cost industrial controller hardware. Comparative simulation examples are carried out to verify the effectiveness of the proposed method.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126168745","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 multiple key management method in distributed sensor networks","authors":"Zhang Ying, Zheng Bingxin","doi":"10.1109/CHICC.2015.7260858","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260858","url":null,"abstract":"Wireless sensor network (WSNs) with a mobile sink node (MS) has been widely concerned. In view of the low security in the basic random key pre-distribution scheme, and the vital role of MS in the research on key management, this paper proposed a new scheme (PPBR scheme) based on a composite key management schemes with polynomial pool-based key pre-distribution and basic random key pre-distribution. The scheme uses polynomial t-degree property to increase the difficulty of cracking the key by enemy and enhance the network resilience to node capture, meanwhile, improves the storage efficiency as heterogeneous features between MS and sensor nodes. The low connectivity is solved by introducing path key tree-based establishment method. Theoretical analysis and simulation experiments show that the proposed scheme has advantages in terms of network security, connectivity and storage effectiveness under the comprehensive consideration on different performance evaluation.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622248","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}
Xiang Chaojuan, Xie Jiang, Gu Yongli, Xu Junfu, Lu Kai
{"title":"Visualization of module alignment discovery","authors":"Xiang Chaojuan, Xie Jiang, Gu Yongli, Xu Junfu, Lu Kai","doi":"10.1109/CHICC.2015.7260991","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260991","url":null,"abstract":"Network alignment is an efficient approach for understanding similarities and dissimilarities of protein interaction networks (PINs) from different species. However, it's difficult to visualize matching status for large-scale PINs even if accurate alignments are found. As we know, PINs can be structured by clustering based on detecting modularity. In this paper, we combine clustering with network alignment to display alignment results, and pairs of modules that most proteins in them are matched, named aligned modules, are discovered intuitively by some visualization tools we developed. Experiments on Homo sapiens and Saccharomyces cerevisiae PIN datasets demonstrate that the visualization is helpful for analyzing large scale network alignments, especially when module alignments are discovered in a visual way.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115330214","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}
Zhang Yunong, Qi Binbin, Ling Yingbiao, Yang Zhi, Peng Chen
{"title":"What is 1/0 in the general sense of physics, applied computation, and/or electronics?","authors":"Zhang Yunong, Qi Binbin, Ling Yingbiao, Yang Zhi, Peng Chen","doi":"10.1109/CHICC.2015.7259788","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259788","url":null,"abstract":"For twelve centuries, the division-by-zero singularity has been deemed as a notorious problem. Here, using the ideas from dynamics theory, and viewing everything as the result of change in the form of dynamical system (i.e., a temporal evolution perspective), we show that division by zero can be well understood by studying from a neat gradient-based dynamical equation. In addition to providing a new perspective towards the division operation, we introduce a framework in which a concept of generalized division is described, enclosing the singularity-conquering division as a special case, and bringing new possibilities to various fields in industry, such as control applications.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122445280","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}