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Optimal PCA-based modeling and fault diagnosis for uneven-length batch processes 基于最优pca的不均匀批处理建模与故障诊断
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524396
Mingxing Jia, Fengxiang Li, Shouping Guan
{"title":"Optimal PCA-based modeling and fault diagnosis for uneven-length batch processes","authors":"Mingxing Jia, Fengxiang Li, Shouping Guan","doi":"10.1109/ICCA.2010.5524396","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524396","url":null,"abstract":"Principal component analysis (PCA) has been widely studied and applied in continuous process monitoring and fault diagnosis. However, PCA can't be applied directly in batch processes due to the common multi-dimensionality of data matrix, uneven-length duration. Since the changes in the correlation may be used to indicate changes in the process operation stages, an optimal sub-stage PCA modeling method based on A-unfolding for uneven-length batch process is proposed, in which on the basis of analyzing the characteristics of sub-stage PCA modeling, the optimal model is established and the genetic algorithm is adopted to obtain the solution of optimal model. It is effective for batch processes with limited-runs modeling data and can improve the model precision. Simulation results to an injection molding process shows that the proposed method can partition the sub-stage accurately and it has better ability of process monitoring.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122693262","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}
引用次数: 3
Predictive algorithm for intravenous anesthesia control 静脉麻醉控制的预测算法
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524313
J. A. Méndez, J. Reboso, Santiago Torres Álvarez, Hector Reboso
{"title":"Predictive algorithm for intravenous anesthesia control","authors":"J. A. Méndez, J. Reboso, Santiago Torres Álvarez, Hector Reboso","doi":"10.1109/ICCA.2010.5524313","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524313","url":null,"abstract":"This work deals with anesthesia control in humans. The control problem is to regulate the hypnosis state of the patient around a target specified by the anesthetist. The drug used here is propofol and the controller will work in general anesthesia conditions. As a preliminary study, real-time results with PI control are presented to demonstrate the limitations of this strategy. As an alternative, this paper introduces a model based predictive control to regulate the hypnosis depth. The basis of the algorithm is to combine two terms to compute the control law. One is obtained from the inverse dynamics of the patient and the other is obtained from a predictive controller that corrects the deviations of the controlled variable. The goal is to show the applicability of the proposed strategy and to demonstrate the increase in performance when compared to signal based controllers. The paper presents For this, real and simulated results are presented in the paper.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122654022","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}
引用次数: 0
Identification of piecewise affine systems and nonlinear systems using multiple models 分段仿射系统和多模型非线性系统的辨识
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524281
Chow Yin Lai, C. Xiang, Tong-heng Lee
{"title":"Identification of piecewise affine systems and nonlinear systems using multiple models","authors":"Chow Yin Lai, C. Xiang, Tong-heng Lee","doi":"10.1109/ICCA.2010.5524281","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524281","url":null,"abstract":"In this paper, a procedure for the identification of piecewise affine ARX systems is proposed. The parameters of the individual subsystems are identified through a least-squares based identification method using multiple models. The partition of the regressor space is then determined using standard procedures such as neural network classifier or support vector machine classifier. The same procedure can be applied to identify nonlinear systems by approximating them via piecewise affine systems. Extensive simulation studies show that our algorithm can indeed provide accurate estimates of the plant parameters even in noisy cases, and even when the model orders are overestimated.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116674558","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}
引用次数: 3
Extremum seeking predictive control of LTI systems based on numerical optimization 基于数值优化的LTI系统极值寻求预测控制
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524048
Yiguo Li, Jiong Shen
{"title":"Extremum seeking predictive control of LTI systems based on numerical optimization","authors":"Yiguo Li, Jiong Shen","doi":"10.1109/ICCA.2010.5524048","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524048","url":null,"abstract":"In this paper, we proposed a new extremum seeking predictive control scheme, in which a numerical optimization algorithm is first employed to provide a search sequence of the unknown extremum, then a predictive controller using the search sequence as its terminal constrain is designed and implemented in a receding horizon manner to simultaneously achieve the optimization of economic objective and transient performance. It is shown that the scheme is able to drive the system states to unknown desired states that optimize the value of an objective function with much better transient performance and is expected to be more robust to external disturbance due to its receding horizon closed-loop control property.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117084967","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}
引用次数: 0
Control system design of a small-scale unmanned helicopter 小型无人直升机控制系统设计
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524165
Zhiqiang Bai, Peizhi Liu, Jinhua Wang, Xiongwen Hu, Xinxin Zhao
{"title":"Control system design of a small-scale unmanned helicopter","authors":"Zhiqiang Bai, Peizhi Liu, Jinhua Wang, Xiongwen Hu, Xinxin Zhao","doi":"10.1109/ICCA.2010.5524165","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524165","url":null,"abstract":"This paper investigates the control design of a small-scale unmanned helicopter. We fulfill the development of modeling with the prediction error method, and control system with PID and robust control method, and eventually accomplish the hardware-in-the-loop simulation system and flight test.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129948498","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}
引用次数: 5
A novel analytical framework for qualitative Model-Based Fault Diagnosis 基于模型的定性故障诊断分析框架
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524167
S. Baniardalani, J. Askari, A. Afzalian
{"title":"A novel analytical framework for qualitative Model-Based Fault Diagnosis","authors":"S. Baniardalani, J. Askari, A. Afzalian","doi":"10.1109/ICCA.2010.5524167","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524167","url":null,"abstract":"This paper presents a unified analytical framework for qualitative Model-Based Fault Diagnosis (MBFD), similar to the quantitative MBFD. Dioid Algebra is used in addition to ordinary Algebra for simulation qualitative models. The framework is illustrated and adapted in details for three main qualitative diagnostic methods which employ Stochastic, Non-Deterministic, and Timed Automata, respectively. Using the proposed methodology, we are able to compute quantitative residuals for qualitative models. Therefore some useful and practical computational tasks can be carried out on the obtained residuals. One of the main contributions of the paper is introducing a new approach to qualitative structured residual generation, which is applied to timed automata models.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128488351","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}
引用次数: 8
Simulation of oxygen supply in the tissue and its relationship with Lung Qi-Deficiency 组织供氧模拟及其与肺气虚的关系
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524276
Wei Yao, Guanghong Ding
{"title":"Simulation of oxygen supply in the tissue and its relationship with Lung Qi-Deficiency","authors":"Wei Yao, Guanghong Ding","doi":"10.1109/ICCA.2010.5524276","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524276","url":null,"abstract":"Based on the respiratory and circulatory system, a dynamic model describing oxygen metabolism in human body was set up. The effect on oxygen pressure in the tissue due to the change of the parameters was revealed through numerical analysis to the parametric equation of the model. Two treating methods to raise oxygen pressure in the tissue were worked out, which accorded with the results of clinical observations. The results of such model showed that the abnormality of the circulatory and respiratory parameters always lead to a reduction of PO2 (O2 pressure) in tissue fluid, and then a Lung Qi-Deficiency Syndrome (QDS). This article also discuss the quantitative relationship between the changes of the parameters of the heart-lung system and the oxygen pressure in the tissue, then provide index to evaluate clinical treatment and analyze the body's oxygen metabolism, which is great significant for the precaution and treatment of low oxygen environment.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128734807","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}
引用次数: 1
T-S fuzzy system identification based on support vector machine 基于支持向量机的T-S模糊系统辨识
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524265
Yanli Deng, Jun Wang, Xiaodan Yan
{"title":"T-S fuzzy system identification based on support vector machine","authors":"Yanli Deng, Jun Wang, Xiaodan Yan","doi":"10.1109/ICCA.2010.5524265","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524265","url":null,"abstract":"There are some problems in fuzzy system for modeling and identification, such as complexity of model construction, curse of dimensionality, poverty of generalization and error of real-time. To deal with these problems, support vector mechanism (SVM) for fuzzy system modeling has been introduced in this paper. And then the parameters have been optimized by error back-propagation training algorithm (BP algorithm). Experimental results demonstrate the effectiveness of the method.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130554740","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}
引用次数: 0
Formation control for mobile multiple robots based on hierarchical virtual structures 基于分层虚拟结构的移动多机器人编队控制
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524078
Jian Yuan, G. Tang
{"title":"Formation control for mobile multiple robots based on hierarchical virtual structures","authors":"Jian Yuan, G. Tang","doi":"10.1109/ICCA.2010.5524078","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524078","url":null,"abstract":"The formation control problem of mobile multiple robots is investigated. A formation control scheme based on a hierarchical virtual structure is proposed. The mobile robots are divided into some clusters according to their distributions in space and then the motion trajectory of every cluster (virtual structure) is defined, so the motion of virtual structure is transformed to desired trajectory of every robot. Furthermore, a finite-time tracking control algorithm with variable structure is proposed. And two designed control laws based on state feedback are constructed to stabilize steering angle error and positions error in finite time, respectively. Involving in results about finite-time stability, we prove that the desired trajectory is attained fully in finite time with the two control laws. Finally numerical simulations considering line-shape and circle-shape are respectively carried out and show the effectiveness of the proposed control scheme.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126669436","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}
引用次数: 7
Wavelet de-noising double-threshold optimization method and its application 小波去噪双阈值优化方法及其应用
IEEE ICCA 2010 Pub Date : 2010-06-09 DOI: 10.1109/ICCA.2010.5524308
Chuanxin Wang, Cheng Shao, Yu Han
{"title":"Wavelet de-noising double-threshold optimization method and its application","authors":"Chuanxin Wang, Cheng Shao, Yu Han","doi":"10.1109/ICCA.2010.5524308","DOIUrl":"https://doi.org/10.1109/ICCA.2010.5524308","url":null,"abstract":"A method based on ant colony algorithm is given for optimizing wavelet de-noising double-threshold. The optimization interval and the objective function are chosen according to the difference of autocorrelation coefficient, which belong to signal's wavelet coefficient and noise's wavelet coefficient respectively. The optimal upper threshold and lower threshold are calculated by ant colony algorithm. Simulation and compressor vibration fault detection application results demonstrate that the proposed method can optimize the de-noising threshold and de-noising effectively.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124181015","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}
引用次数: 0
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