Pub Date : 2009-10-09DOI: 10.1109/CCA.2009.5280969
M. Terra, J. Ishihara, Gildson Jesus
This paper considers practical issues on the computation of H∞ information filters for descriptor systems. Fast array algorithms are developed to improve the computational advantages of recursive filters found in the literature. The known advantages of this kind of algorithm, that was originally developed for standard nominal state-space systems, remain valid when it is applied to descriptor systems. Numerical example, based on fixed-point implementations, is provided in order to demonstrate the advantages of this approach.
{"title":"Fast array algorithms for H∞ information estimation of rectangular discrete-time descriptor systems","authors":"M. Terra, J. Ishihara, Gildson Jesus","doi":"10.1109/CCA.2009.5280969","DOIUrl":"https://doi.org/10.1109/CCA.2009.5280969","url":null,"abstract":"This paper considers practical issues on the computation of H∞ information filters for descriptor systems. Fast array algorithms are developed to improve the computational advantages of recursive filters found in the literature. The known advantages of this kind of algorithm, that was originally developed for standard nominal state-space systems, remain valid when it is applied to descriptor systems. Numerical example, based on fixed-point implementations, is provided in order to demonstrate the advantages of this approach.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121830196","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 : 2009-07-14DOI: 10.1109/CCA.2009.5280710
R. Colbaugh, K. Glass
This two-part paper presents a new approach to predictive analysis for social processes. Part I identifies a class of social processes, called positive externality processes, which are both important and difficult to predict, and introduces a multi-scale, stochastic hybrid system modeling framework for these systems. In Part II of the paper we develop a systems theory-based, computationally tractable approach to predictive analysis for these systems. Among other capabilities, this analytic methodology enables assessment of process predictability, identification of measurables which have predictive power, discovery of reliable early indicators for events of interest, and robust, scalable prediction. The potential of the proposed approach is illustrated through case studies involving online markets, social movements, and protest behavior.
{"title":"Predictive analysis for social processes II: Predictability and warning analysis","authors":"R. Colbaugh, K. Glass","doi":"10.1109/CCA.2009.5280710","DOIUrl":"https://doi.org/10.1109/CCA.2009.5280710","url":null,"abstract":"This two-part paper presents a new approach to predictive analysis for social processes. Part I identifies a class of social processes, called positive externality processes, which are both important and difficult to predict, and introduces a multi-scale, stochastic hybrid system modeling framework for these systems. In Part II of the paper we develop a systems theory-based, computationally tractable approach to predictive analysis for these systems. Among other capabilities, this analytic methodology enables assessment of process predictability, identification of measurables which have predictive power, discovery of reliable early indicators for events of interest, and robust, scalable prediction. The potential of the proposed approach is illustrated through case studies involving online markets, social movements, and protest behavior.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121067895","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 : 2009-07-08DOI: 10.1109/CCA.2009.5281057
J. Parviainen, Manuel A. Vazquez Lopez, O. Pekkalin, J. Hautamäki, J. Collin, P. Davidson
This paper presents the development of a land vehicle navigation system that provides accurate and uninterrupted positioning. Ground speed Doppler radar and one MEMS gyroscope are used to augment differential GPS (DGPS) and provide accurate navigation during DGPS outages. Using Doppler radar has advantages of easy assembling and lowcost maintenance compared to wheel encoders. The Doppler radar and gyro are calibrated when DGPS is available. Loosely coupled Kalman filter gives optimally tuned navigation solution. Field tests were carried out to evaluate the performance of the system. The results show that position accuracy of 1.5 meters can be achieved during 15 seconds DGPS outages.
{"title":"Using Doppler radar and MEMS gyro to augment DGPS for land vehicle navigation","authors":"J. Parviainen, Manuel A. Vazquez Lopez, O. Pekkalin, J. Hautamäki, J. Collin, P. Davidson","doi":"10.1109/CCA.2009.5281057","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281057","url":null,"abstract":"This paper presents the development of a land vehicle navigation system that provides accurate and uninterrupted positioning. Ground speed Doppler radar and one MEMS gyroscope are used to augment differential GPS (DGPS) and provide accurate navigation during DGPS outages. Using Doppler radar has advantages of easy assembling and lowcost maintenance compared to wheel encoders. The Doppler radar and gyro are calibrated when DGPS is available. Loosely coupled Kalman filter gives optimally tuned navigation solution. Field tests were carried out to evaluate the performance of the system. The results show that position accuracy of 1.5 meters can be achieved during 15 seconds DGPS outages.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115115098","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 : 2009-07-08DOI: 10.1109/CCA.2009.5281125
Antoinette G. N. Kommer, A. Pogromsky, B. Andrievsky, J. Rooda
The control of a manufacturing machine, modeled as an integrator with input saturation, is studied. An unknown demand must be tracked. A proportional feedback controller with reduced-order observer is proposed. This controller guarantees uniformly convergent system behavior in the presence of input fluctuations and external disturbances. The performance of the continuous system is considered in frequency and time domain. It is described how the controller can be implemented in discrete-event setting, and simulation results show that the proposed controller can be used to control a discrete-event model of a machine.
{"title":"Discrete-event implementation of observer-based feedback control of manufacturing system","authors":"Antoinette G. N. Kommer, A. Pogromsky, B. Andrievsky, J. Rooda","doi":"10.1109/CCA.2009.5281125","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281125","url":null,"abstract":"The control of a manufacturing machine, modeled as an integrator with input saturation, is studied. An unknown demand must be tracked. A proportional feedback controller with reduced-order observer is proposed. This controller guarantees uniformly convergent system behavior in the presence of input fluctuations and external disturbances. The performance of the continuous system is considered in frequency and time domain. It is described how the controller can be implemented in discrete-event setting, and simulation results show that the proposed controller can be used to control a discrete-event model of a machine.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115436348","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 : 2009-07-08DOI: 10.1109/CCA.2009.5281050
Ioannis Dermitzakis, C. Kravaris
The present work develops a method to determine higher-order corrections to the pi criterion, derived from basic results of Center Manifold theory. The proposed method is based on solving the Center Manifold PDE via power series. The advantage of the proposed approach is the improvement of the accuracy of the pi criterion in predicting performance under larger amplitudes. The proposed method is applied to a continuous stirred tank reactor, where the yield of the desired product must be maximized.
{"title":"Higher-order corrections to the pi criterion for the periodic operation of chemical reactors","authors":"Ioannis Dermitzakis, C. Kravaris","doi":"10.1109/CCA.2009.5281050","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281050","url":null,"abstract":"The present work develops a method to determine higher-order corrections to the pi criterion, derived from basic results of Center Manifold theory. The proposed method is based on solving the Center Manifold PDE via power series. The advantage of the proposed approach is the improvement of the accuracy of the pi criterion in predicting performance under larger amplitudes. The proposed method is applied to a continuous stirred tank reactor, where the yield of the desired product must be maximized.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262753","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 : 2009-07-08DOI: 10.1109/CCA.2009.5280926
B. Schmidt, J. Reger
In this contribution, a ℌ∞-controller is devised for the tracking of a reference trajectory in a SISO-system. To this end, a ℌ∞ suboptimal set-point control concept for bilinear systems is adapted and generalized for tracking purposes resorting to the overall error dynamics of the respective timevarying system. The presented controller incorporates integral action on the angular shaft velocity and iISS (integral Input-to- State Stability) is guaranteed for the closed-loop system subject to non-zero disturbances. The integrator is to compensate for measurement noise, to compensate for load torque changes we introduce a load estimation scheme. Also iISS is shown for the closed-loop system under disturbances when completed with integrator and estimator. The approach is applied to a Boostconverter driven DC-motor, where the angular shaft velocity is the output to be tracked.
{"title":"ℌ∞-suboptimal tracking control with integral action and load estimation applied on a Boost-converter/DC-motor combination","authors":"B. Schmidt, J. Reger","doi":"10.1109/CCA.2009.5280926","DOIUrl":"https://doi.org/10.1109/CCA.2009.5280926","url":null,"abstract":"In this contribution, a ℌ∞-controller is devised for the tracking of a reference trajectory in a SISO-system. To this end, a ℌ∞ suboptimal set-point control concept for bilinear systems is adapted and generalized for tracking purposes resorting to the overall error dynamics of the respective timevarying system. The presented controller incorporates integral action on the angular shaft velocity and iISS (integral Input-to- State Stability) is guaranteed for the closed-loop system subject to non-zero disturbances. The integrator is to compensate for measurement noise, to compensate for load torque changes we introduce a load estimation scheme. Also iISS is shown for the closed-loop system under disturbances when completed with integrator and estimator. The approach is applied to a Boostconverter driven DC-motor, where the angular shaft velocity is the output to be tracked.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114955150","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 : 2009-07-08DOI: 10.1109/CCA.2009.5281099
J. Velagić, A. Galijasevic
This paper presents a design of the fuzzy logic control for a permanent magnet DC motor. The main objective is to achieve a robust controller under disturbances and unmodeled dynamics acting, such as load torque, dead zone, measurement noise and nonlinearities. The whole system contains the DC motor, driver, tachogenerator, external load and microprocessor based system (dSPACE CLP1004). This system is considered such as black box. The fuzzy controller is designed in simulation mode first. The model of whole system was obtained through identification procedure. Then this fuzzy controller is included into a real physical control structure. Control performance of the fuzzy controller in both simulation and experimental modes are compared under mentioned constraints. Also, results obtained by the fuzzy controller are compared with the same obtained by PID controller.
{"title":"Design of fuzzy logic control of permanent magnet DC motor under real constraints and disturbances","authors":"J. Velagić, A. Galijasevic","doi":"10.1109/CCA.2009.5281099","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281099","url":null,"abstract":"This paper presents a design of the fuzzy logic control for a permanent magnet DC motor. The main objective is to achieve a robust controller under disturbances and unmodeled dynamics acting, such as load torque, dead zone, measurement noise and nonlinearities. The whole system contains the DC motor, driver, tachogenerator, external load and microprocessor based system (dSPACE CLP1004). This system is considered such as black box. The fuzzy controller is designed in simulation mode first. The model of whole system was obtained through identification procedure. Then this fuzzy controller is included into a real physical control structure. Control performance of the fuzzy controller in both simulation and experimental modes are compared under mentioned constraints. Also, results obtained by the fuzzy controller are compared with the same obtained by PID controller.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688186","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 : 2009-07-08DOI: 10.1109/CCA.2009.5281076
A. Cheremensky
The paper studies a class of linear (infinite-dimensional control) systems where system (controlled, controlling and observed) variables and external disturbances are picked up in equations with the help of bounded (‘weight’) linear operators in resolution extended normed linear spaces. Under the given conditions the set of all bounded (stable) transfer operators (acting from external disturbances to system variables) is obtained; in general not all of them prove to be realizable with the help of the feedback and separation principles.
{"title":"On linear infinite-dimensional feedback systems","authors":"A. Cheremensky","doi":"10.1109/CCA.2009.5281076","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281076","url":null,"abstract":"The paper studies a class of linear (infinite-dimensional control) systems where system (controlled, controlling and observed) variables and external disturbances are picked up in equations with the help of bounded (‘weight’) linear operators in resolution extended normed linear spaces. Under the given conditions the set of all bounded (stable) transfer operators (acting from external disturbances to system variables) is obtained; in general not all of them prove to be realizable with the help of the feedback and separation principles.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122606077","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 : 2009-07-08DOI: 10.1109/CCA.2009.5281143
H. Fujioka, H. Kano
This paper considers the problem of constructing smoothing spline curves recursively each time when a new set of data is observed. The spline curves are constituted by employing an approach based on linear control systems. Based on the basic problem of optimal smoothing splines and an idea of recursive least squares method, a recursive design algorithm of optimal smoothing splines is developed. Assuming that the data for smoothing is obtained by sampling a curve, we analyze asymptotical and statistical properties of smoothing spline curve when the number of iterations tends to infinity. The algorithm and analyses are extended to the case of periodic splines. We demonstrate the effectiveness and usefulness by numerical examples.
{"title":"Recursive construction of optimal smoothing splines generated by linear control systems","authors":"H. Fujioka, H. Kano","doi":"10.1109/CCA.2009.5281143","DOIUrl":"https://doi.org/10.1109/CCA.2009.5281143","url":null,"abstract":"This paper considers the problem of constructing smoothing spline curves recursively each time when a new set of data is observed. The spline curves are constituted by employing an approach based on linear control systems. Based on the basic problem of optimal smoothing splines and an idea of recursive least squares method, a recursive design algorithm of optimal smoothing splines is developed. Assuming that the data for smoothing is obtained by sampling a curve, we analyze asymptotical and statistical properties of smoothing spline curve when the number of iterations tends to infinity. The algorithm and analyses are extended to the case of periodic splines. We demonstrate the effectiveness and usefulness by numerical examples.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114183216","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 : 2009-07-08DOI: 10.1109/CCA.2009.5280716
A. Sala, C. Ariño
The paper deals with some issues in the fuzzy polynomial framework, presenting the polynomial sector-nonlinearity modelling, a novel control technique for fuzzy polynomial models (based on Finsler Lemma) and discusses about the conservativeness of some controller design techniques and some issues in modelling.
{"title":"Some remarks on polynomial fuzzy control","authors":"A. Sala, C. Ariño","doi":"10.1109/CCA.2009.5280716","DOIUrl":"https://doi.org/10.1109/CCA.2009.5280716","url":null,"abstract":"The paper deals with some issues in the fuzzy polynomial framework, presenting the polynomial sector-nonlinearity modelling, a novel control technique for fuzzy polynomial models (based on Finsler Lemma) and discusses about the conservativeness of some controller design techniques and some issues in modelling.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122197299","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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