Pub Date : 2011-10-01DOI: 10.1080/00207721003653708
Xiaoheng Chang, Guanghong Yang, Haibo Wang
This paper is concerned with the problem of observer-based H∞ control for discrete-time Takagi-Sugeno (T-S) fuzzy systems, and new design methods are presented. By defining a fuzzy Lyapunov function, a new sufficient condition guaranteeing the H∞ performance of the T-S fuzzy systems is derived, and the condition is expressed by a set of linear matrix inequalities (LMIs). In comparison with the existing literature, the proposed approach may provide more relaxed condition while ensuring better H∞ performance. The simulation results illustrate the effectiveness of the proposed approach.
{"title":"Observer-based H∞ control for discrete-time T-S fuzzy systems","authors":"Xiaoheng Chang, Guanghong Yang, Haibo Wang","doi":"10.1080/00207721003653708","DOIUrl":"https://doi.org/10.1080/00207721003653708","url":null,"abstract":"This paper is concerned with the problem of observer-based H∞ control for discrete-time Takagi-Sugeno (T-S) fuzzy systems, and new design methods are presented. By defining a fuzzy Lyapunov function, a new sufficient condition guaranteeing the H∞ performance of the T-S fuzzy systems is derived, and the condition is expressed by a set of linear matrix inequalities (LMIs). In comparison with the existing literature, the proposed approach may provide more relaxed condition while ensuring better H∞ performance. The simulation results illustrate the effectiveness of the proposed approach.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098396","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192414
Pingkang Li, Peng Wang, Xiuxia Du
A novel approach to find the optimal stabilizing regions for PID control systems with time-delay is proposed. The method is based on the observation that the stabilizing PID compensators form a set of polyhedral sets in the three-dimensional parameter space. To avoid the lack of constraints problem, which prohibits the optimization of three PID controller parameters, the robustness constraint is integrated into the stable region determination algorithm. The constraint defines a set of controller parameters such that the maximum sensitivities are less than prescribed values. Compared with previous results it is considerably simpler and faster to determine such parameter regions by combining a so-called dual-locus diagram with the maximum sensitivity constrains with the integral gain Ki as the system performance measure. The approach presented works well without sweeping over parameters, and do not need complex numerical calculations to achieve the required performance. The simulations have shown the effectiveness of the method.
{"title":"An approach to optimal design of stabilizing PID controllers for time-delay systems","authors":"Pingkang Li, Peng Wang, Xiuxia Du","doi":"10.1109/CCDC.2009.5192414","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192414","url":null,"abstract":"A novel approach to find the optimal stabilizing regions for PID control systems with time-delay is proposed. The method is based on the observation that the stabilizing PID compensators form a set of polyhedral sets in the three-dimensional parameter space. To avoid the lack of constraints problem, which prohibits the optimization of three PID controller parameters, the robustness constraint is integrated into the stable region determination algorithm. The constraint defines a set of controller parameters such that the maximum sensitivities are less than prescribed values. Compared with previous results it is considerably simpler and faster to determine such parameter regions by combining a so-called dual-locus diagram with the maximum sensitivity constrains with the integral gain Ki as the system performance measure. The approach presented works well without sweeping over parameters, and do not need complex numerical calculations to achieve the required performance. The simulations have shown the effectiveness of the method.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115229491","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}
There is strong randomness and uncertainty lying in the health status of airplane. Because the former grey models can not forecast the random signals efficiently, a new forecast method for the health state of airplane, based on the improved MGM(1, n), is presented in this paper. The advanced acoustic emission (AE) technique is used to collect the health state information. The original AE signals are decomposed with the wavelet transform. The energy values, eigenvalues and standard deviation of the third layer wavelet decomposition low frequency coefficients are respectively extracted to form eigenvectors. Then the improved MGM(1, n) is established by these eigenvectors. The improved algorithm is realized by feeding back the errors between the forecast values and the actual ones so as to improve the forecast precision. Experiments show that the improved MGM(1, n) can forecast the airplane stabilizer fatigue crack more accurately than the GM (1, 1). And this new method has been successfully applied to the forecast system of the health state of airplane structure components.
{"title":"Research on airplane health forecast method based on the improved MGM(1, n)","authors":"Jianguo Cui, Desheng Song, Shiliang Dong, Mingzhuo Wang, Xiaopeng Liang, Xinhe Xu","doi":"10.1109/CCDC.2009.5195044","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5195044","url":null,"abstract":"There is strong randomness and uncertainty lying in the health status of airplane. Because the former grey models can not forecast the random signals efficiently, a new forecast method for the health state of airplane, based on the improved MGM(1, n), is presented in this paper. The advanced acoustic emission (AE) technique is used to collect the health state information. The original AE signals are decomposed with the wavelet transform. The energy values, eigenvalues and standard deviation of the third layer wavelet decomposition low frequency coefficients are respectively extracted to form eigenvectors. Then the improved MGM(1, n) is established by these eigenvectors. The improved algorithm is realized by feeding back the errors between the forecast values and the actual ones so as to improve the forecast precision. Experiments show that the improved MGM(1, n) can forecast the airplane stabilizer fatigue crack more accurately than the GM (1, 1). And this new method has been successfully applied to the forecast system of the health state of airplane structure components.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123057870","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5191605
Shujing Wu, Dazhong Wang, S. Okubo
In this paper, we propose a new design by the stabilization control of the nonlinear system. With this method, we obtain a simple input control law. The internal state for the control is stable. Finally, an example is given to illustrate the effectiveness of the proposed method.
{"title":"Stabilization control of the nonlinear system","authors":"Shujing Wu, Dazhong Wang, S. Okubo","doi":"10.1109/CCDC.2009.5191605","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5191605","url":null,"abstract":"In this paper, we propose a new design by the stabilization control of the nonlinear system. With this method, we obtain a simple input control law. The internal state for the control is stable. Finally, an example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121834784","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5195053
Yongsheng Qi, Pu Wang, Shunjie Fan, Xuejin Gao, Jun-feng Jiang
Batch processes are very important in most industries and are used to produce high-value-added products, which cause their monitoring and control to emerge as essential techniques. In this paper, a new method was developed based on Kalman filter(KF) and multiway kernel principal component analysis(MKPCA) for on-line batch process monitoring. Three-way batch data of normal batch process are unfolded batch-wise. Then KPCA is used to capture the nonlinear characteristics within normal batch processes and set up the more accurate monitoring model of batch processes. The on-line monitoring uses a Kalman filter which can estimate the entire trajectory of the current batch run. Comparison of the monitoring performance of the method with that of the traditional multiway principal component analysis(MPCA) method on a benchmark fed-batch penicillin fermentation process shows that the proposed method had better monitoring performance, and that fewer false alarms and small fault detection delay were obtained. In both off-line analysis and on-line batch monitoring, the proposed approach can effectively extract the nonlinear relationships among the process variables.
{"title":"Enhanced batch process monitoring using Kalman filter and multiway kernel principal component analysis","authors":"Yongsheng Qi, Pu Wang, Shunjie Fan, Xuejin Gao, Jun-feng Jiang","doi":"10.1109/CCDC.2009.5195053","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5195053","url":null,"abstract":"Batch processes are very important in most industries and are used to produce high-value-added products, which cause their monitoring and control to emerge as essential techniques. In this paper, a new method was developed based on Kalman filter(KF) and multiway kernel principal component analysis(MKPCA) for on-line batch process monitoring. Three-way batch data of normal batch process are unfolded batch-wise. Then KPCA is used to capture the nonlinear characteristics within normal batch processes and set up the more accurate monitoring model of batch processes. The on-line monitoring uses a Kalman filter which can estimate the entire trajectory of the current batch run. Comparison of the monitoring performance of the method with that of the traditional multiway principal component analysis(MPCA) method on a benchmark fed-batch penicillin fermentation process shows that the proposed method had better monitoring performance, and that fewer false alarms and small fault detection delay were obtained. In both off-line analysis and on-line batch monitoring, the proposed approach can effectively extract the nonlinear relationships among the process variables.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117249668","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5191674
Y. Liping, Hu Xiaoyuan
This paper considers a supply chain consisting of a supplier and a retailer. When the supplier offers the trade credit to the retailer, their target profit will change and supply chain's profit will increase due to coordination. We develop a coordination mechanism through trade credit that both of the parties can divide the additional profit or the total profit equitably for two cases, case 1: no pre-decided individual target profit for the two members; case2: with pre-decided target profit for the two members. The inventory model of trade credit in supply chain is developed, and the order quantity and the credit period for coordinating supply chain is educed, and the effect of the model for sharing the profit and supply chain's coordination is analyzed. Finally the results were analyzed by conducting numerical examples.
{"title":"Analysis of coordination and profit sharing with trade credit in supply chain","authors":"Y. Liping, Hu Xiaoyuan","doi":"10.1109/CCDC.2009.5191674","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5191674","url":null,"abstract":"This paper considers a supply chain consisting of a supplier and a retailer. When the supplier offers the trade credit to the retailer, their target profit will change and supply chain's profit will increase due to coordination. We develop a coordination mechanism through trade credit that both of the parties can divide the additional profit or the total profit equitably for two cases, case 1: no pre-decided individual target profit for the two members; case2: with pre-decided target profit for the two members. The inventory model of trade credit in supply chain is developed, and the order quantity and the credit period for coordinating supply chain is educed, and the effect of the model for sharing the profit and supply chain's coordination is analyzed. Finally the results were analyzed by conducting numerical examples.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121030805","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5192532
Jing Liu, Ce Zhang
This paper studies the problem of global asymptotic stability for delayed cellular neural networks(DCNNs). A new stability condition is obtained by utilizing the Lyapunov functional method and the matrix inequality approach. This condition is less restrictive and generalizes some of the previous stability results derived in the literature.
{"title":"A new global asymptotic stability result for delayed cellular neural networks","authors":"Jing Liu, Ce Zhang","doi":"10.1109/CCDC.2009.5192532","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5192532","url":null,"abstract":"This paper studies the problem of global asymptotic stability for delayed cellular neural networks(DCNNs). A new stability condition is obtained by utilizing the Lyapunov functional method and the matrix inequality approach. This condition is less restrictive and generalizes some of the previous stability results derived in the literature.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121083021","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5191813
Liyan Wang, Jiafu Tang, L. Qian, Qiu Deyu
Modern manufacturing environments are complicating and evolving, which is random fuzzy in nature, but quality has always been the domain of accurate science, and the traditional methods for assessing the capability of manufacturing processes are dealing with precise quality, so the introduction of fuzzy quality is an overall comprehensive reflection of precise quality. Instead of precise quality, fuzzy quality and its relative contents with fuzzy theory are discussed here, especially fuzzy statistical process control (SPC)-fuzzy control chart and fuzzy process capability indices-PCIs, other applications in quality tools with fuzzy theory are also mentioned, and the results show that it is helpful.
{"title":"Fuzzy theory application in quality management","authors":"Liyan Wang, Jiafu Tang, L. Qian, Qiu Deyu","doi":"10.1109/CCDC.2009.5191813","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5191813","url":null,"abstract":"Modern manufacturing environments are complicating and evolving, which is random fuzzy in nature, but quality has always been the domain of accurate science, and the traditional methods for assessing the capability of manufacturing processes are dealing with precise quality, so the introduction of fuzzy quality is an overall comprehensive reflection of precise quality. Instead of precise quality, fuzzy quality and its relative contents with fuzzy theory are discussed here, especially fuzzy statistical process control (SPC)-fuzzy control chart and fuzzy process capability indices-PCIs, other applications in quality tools with fuzzy theory are also mentioned, and the results show that it is helpful.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121114456","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5195190
Ma Yongguang, Chen Wenying, Luo Guangxiao
With the incertitude of the network-induced time-delay and data packet losses in networked control systems(NCS), the performance of control systems would degrade, even destabilize. In this paper, a new design of controller is presented, here the controller uses event and time driving, and state observer is designed for estimating the states and compensation for time delay and dropout. Then the closed system is modeled as asynchronous dynamical system constrained by configuration event rate. Exponential stability theory is used to analyze the stability of the closed loop system, and the states feedback controller design method is presented. The result of simulation experiment shows the validity of the proposed method, which well guarantees the stability of networked control systems with uncertain network-induced time-delay and data packet losses.
{"title":"Compensation of networked control systems with time-delay and data packet losses","authors":"Ma Yongguang, Chen Wenying, Luo Guangxiao","doi":"10.1109/CCDC.2009.5195190","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5195190","url":null,"abstract":"With the incertitude of the network-induced time-delay and data packet losses in networked control systems(NCS), the performance of control systems would degrade, even destabilize. In this paper, a new design of controller is presented, here the controller uses event and time driving, and state observer is designed for estimating the states and compensation for time delay and dropout. Then the closed system is modeled as asynchronous dynamical system constrained by configuration event rate. Exponential stability theory is used to analyze the stability of the closed loop system, and the states feedback controller design method is presented. The result of simulation experiment shows the validity of the proposed method, which well guarantees the stability of networked control systems with uncertain network-induced time-delay and data packet losses.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121364566","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 : 2009-06-17DOI: 10.1109/CCDC.2009.5191495
Hongyan Shi, Zhaoyu Bei
Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.
{"title":"Image matching based on ant colony algorithm","authors":"Hongyan Shi, Zhaoyu Bei","doi":"10.1109/CCDC.2009.5191495","DOIUrl":"https://doi.org/10.1109/CCDC.2009.5191495","url":null,"abstract":"Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121374106","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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