The application of different types of adaptive control for the power-frequency control of the power-generating system in the Netherlands is considered. Because of the large fluctuations in load, a fixed algorithm in the conventional area controller has some serious disadvantages. In the paper model reference adaptive control (MRAS) is applied in order to deal with variations in the parameter which relates the variations in the frequency to variations in the load. Adaptive control and conventional control are compared. Further improvements have been realized by changing the structure of the conventional power frequency control algorithm and by introducing a feed forward adaptive action. In the simulation numerical values of the power stations in Amsterdam (GEP) and Zeeland (PZEM), which operate within the tie-line system in the Netherlands, have been used.
{"title":"Power frequency control in a system of coupled generating units - Conventional versus adaptive approach","authors":"J. Amerongen, G. Honderd","doi":"10.1109/CDC.1980.271994","DOIUrl":"https://doi.org/10.1109/CDC.1980.271994","url":null,"abstract":"The application of different types of adaptive control for the power-frequency control of the power-generating system in the Netherlands is considered. Because of the large fluctuations in load, a fixed algorithm in the conventional area controller has some serious disadvantages. In the paper model reference adaptive control (MRAS) is applied in order to deal with variations in the parameter which relates the variations in the frequency to variations in the load. Adaptive control and conventional control are compared. Further improvements have been realized by changing the structure of the conventional power frequency control algorithm and by introducing a feed forward adaptive action. In the simulation numerical values of the power stations in Amsterdam (GEP) and Zeeland (PZEM), which operate within the tie-line system in the Netherlands, have been used.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128978323","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}
We consider the problem of steering the state of the system x(t) = A(t)x(t) + f(t, u(t)) to a pre-specified target set X. No assumptions about the structure of the target set are made, and criteria for controllability to a target at some prespecified time are obtained. Finally, we obtain criteria for global controllability.
{"title":"Controlling a system to a non-convex target","authors":"W. Hwang, W. Schmitendorf","doi":"10.1109/CDC.1980.271974","DOIUrl":"https://doi.org/10.1109/CDC.1980.271974","url":null,"abstract":"We consider the problem of steering the state of the system x(t) = A(t)x(t) + f(t, u(t)) to a pre-specified target set X. No assumptions about the structure of the target set are made, and criteria for controllability to a target at some prespecified time are obtained. Finally, we obtain criteria for global controllability.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114904302","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}
Surveillance system sensors generally provide information on location and on other attributes of the object detected. This additional attribute data can be employed in associating a given report with a set of previous reports in the data base (track) thought to represent a single object. The present Bayesian analysis of the association probabilities, arising from such attribute data goes beyond previous treatments in three ways. First, explicit allowance is made for four different types of attribute parameters encountered in many multi-sensor systems. The second distinguishing feature of this scheme is the explicit consideration of uncertainties in report parameters due to errors and deception, and of uncertainties in track parameters due both to these causes and to association probabilities less than unity. Finally, an inference procedure, based on conditional prior probabilities, is developed to treat cases where there is limited overlap between report and track attribute sets. This situation is frequently encountered in multi-sensor systems.
{"title":"A Bayesian analysis of surveillance attribute data","authors":"D. Atkinson","doi":"10.1109/CDC.1980.271918","DOIUrl":"https://doi.org/10.1109/CDC.1980.271918","url":null,"abstract":"Surveillance system sensors generally provide information on location and on other attributes of the object detected. This additional attribute data can be employed in associating a given report with a set of previous reports in the data base (track) thought to represent a single object. The present Bayesian analysis of the association probabilities, arising from such attribute data goes beyond previous treatments in three ways. First, explicit allowance is made for four different types of attribute parameters encountered in many multi-sensor systems. The second distinguishing feature of this scheme is the explicit consideration of uncertainties in report parameters due to errors and deception, and of uncertainties in track parameters due both to these causes and to association probabilities less than unity. Finally, an inference procedure, based on conditional prior probabilities, is developed to treat cases where there is limited overlap between report and track attribute sets. This situation is frequently encountered in multi-sensor systems.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131006382","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}
Discriminant analysis procedures were used to describe mode selection in a simulated AAA system. Mode selection variability and shifts in selection strategies were found across conditions. These differences were attributed to decision dependent momentary shifts in subjective information weighting.
{"title":"Information weighting and combination in the combat supervisor's tactical decision behavior","authors":"C. Hale, G. Valentino, S. Ward","doi":"10.1109/CDC.1980.271907","DOIUrl":"https://doi.org/10.1109/CDC.1980.271907","url":null,"abstract":"Discriminant analysis procedures were used to describe mode selection in a simulated AAA system. Mode selection variability and shifts in selection strategies were found across conditions. These differences were attributed to decision dependent momentary shifts in subjective information weighting.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131648556","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}
Efficient generation and correlation algorithms, combined with ideal aperiodic correlation properties, make complementary sequences a useful alternative to binary maximal length sequences (b.m.l.s) in multivariable system identification. Techniques for reducing the effects of errors on the response estimates are described and tested by simulation.
{"title":"Complementary sequences for multivariable system identification","authors":"R. Wilson","doi":"10.1109/CDC.1980.271889","DOIUrl":"https://doi.org/10.1109/CDC.1980.271889","url":null,"abstract":"Efficient generation and correlation algorithms, combined with ideal aperiodic correlation properties, make complementary sequences a useful alternative to binary maximal length sequences (b.m.l.s) in multivariable system identification. Techniques for reducing the effects of errors on the response estimates are described and tested by simulation.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128994615","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}
In the class of nonlinear, nonautonomous control systems we consider the property of controllability to a compact set on a fixed time interval, and we give a sufficient condition for this property to be preserved under small perturbations of the control system.
{"title":"Perturbations of nonlinear controllable systems","authors":"K. Grasse","doi":"10.1137/0319015","DOIUrl":"https://doi.org/10.1137/0319015","url":null,"abstract":"In the class of nonlinear, nonautonomous control systems we consider the property of controllability to a compact set on a fixed time interval, and we give a sufficient condition for this property to be preserved under small perturbations of the control system.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133854322","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}
"Control spillover" and "observation spillover" have surfaced as major roadblocks to successful application of state-of-the-art control techniques to vibration control of large space structures. Nevertheless, control (observation) spillover may be prevented by proper placement of actuators (sensors). If proper placement is not possible because of structural constraints, control spillover to (observation spillover from) secondary modes can still be prevented by synthesizing the existent actuator (sensor) influences. Alternatively, control spillover to (observation spillover from) nonprimary modes can be reduced, to various extent, by adding some bandstop filter to each input (output) channel. A combined systematic use of placement, synthesis, and filtering will yield better results. This paper presents the underlying theoretical foundation of a proposed three-step approach for alleviating the spillover problems, along with conditions and techniques for proper placement, proper synthesis, and proper filtering. An illustrative numerical example is also included.
{"title":"Three steps to alleviate control and observation spillover problems of large space structures","authors":"JiGuan G. Lin","doi":"10.1109/CDC.1980.271834","DOIUrl":"https://doi.org/10.1109/CDC.1980.271834","url":null,"abstract":"\"Control spillover\" and \"observation spillover\" have surfaced as major roadblocks to successful application of state-of-the-art control techniques to vibration control of large space structures. Nevertheless, control (observation) spillover may be prevented by proper placement of actuators (sensors). If proper placement is not possible because of structural constraints, control spillover to (observation spillover from) secondary modes can still be prevented by synthesizing the existent actuator (sensor) influences. Alternatively, control spillover to (observation spillover from) nonprimary modes can be reduced, to various extent, by adding some bandstop filter to each input (output) channel. A combined systematic use of placement, synthesis, and filtering will yield better results. This paper presents the underlying theoretical foundation of a proposed three-step approach for alleviating the spillover problems, along with conditions and techniques for proper placement, proper synthesis, and proper filtering. An illustrative numerical example is also included.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":" 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051186","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}
A method for parameter estimation is derived that is insensitive to the noise distribution, and an example of its use for nonlinear systems is given. The method combines the sensitivity of the maximum-likelihood parameter estimator with the robustness of order statistics to reduce estimation uncertainty significantly, with only a slight increase in the variance. This algorithm shows improvements over conventional parameter estimates, in particular, in the case of small data sets.
{"title":"Parameter estimation in the presence of non-Gaussian noise","authors":"H. Salzwedel","doi":"10.1109/CDC.1980.271885","DOIUrl":"https://doi.org/10.1109/CDC.1980.271885","url":null,"abstract":"A method for parameter estimation is derived that is insensitive to the noise distribution, and an example of its use for nonlinear systems is given. The method combines the sensitivity of the maximum-likelihood parameter estimator with the robustness of order statistics to reduce estimation uncertainty significantly, with only a slight increase in the variance. This algorithm shows improvements over conventional parameter estimates, in particular, in the case of small data sets.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129382009","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}
The problem of state estimation in linear dynamic systems with fuzzy initial states and poorly defined perturbation input signals (i.e fuzzy inputs) is considered. A new notion of vector summ of n-dimensional fuzzy sets provides the basis for state and input "imprecision" propagation trough the systems dynamics. Recursive state estimation formulae are developed to obtain a fuzzy set of possible states at each instant of time.
{"title":"Fuzzy state estimation in linear dynamic systems","authors":"H. Sira-Ramírez","doi":"10.1109/CDC.1980.271820","DOIUrl":"https://doi.org/10.1109/CDC.1980.271820","url":null,"abstract":"The problem of state estimation in linear dynamic systems with fuzzy initial states and poorly defined perturbation input signals (i.e fuzzy inputs) is considered. A new notion of vector summ of n-dimensional fuzzy sets provides the basis for state and input \"imprecision\" propagation trough the systems dynamics. Recursive state estimation formulae are developed to obtain a fuzzy set of possible states at each instant of time.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"2619 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116404417","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}
This paper describes a multiloop root locus technique which has been used to study velocity output feedback controllers in very lightly damped structures. An example illustrates the pitfalls of a common model truncation approach used in designing these controllers.
{"title":"Study of velocity output vibration suppression controllers with a multiloop root locus","authors":"D. Herrick","doi":"10.1109/CDC.1980.271970","DOIUrl":"https://doi.org/10.1109/CDC.1980.271970","url":null,"abstract":"This paper describes a multiloop root locus technique which has been used to study velocity output feedback controllers in very lightly damped structures. An example illustrates the pitfalls of a common model truncation approach used in designing these controllers.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116826827","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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