Pub Date : 2017-09-01DOI: 10.1109/ETFA.2017.8247768
Moses A. Koledoye, T. Facchinetti, L. Almeida
Multidimensional Scaling (MDS) can be used to localize a set of nodes (tags) by evaluating their distances from another set of nodes having known location (anchors). Node localization with MDS generally requires that the proximity graph be fully connected. This implies that matrices generated from tag-anchor ranging for which tag-to-tag distances are missing can not be used directly with the MDS algorithm without the use of estimates for the missing data. These estimates, however, unavoidably introduce some approximations in the localization process, which can become relatively large depending on the number of missing measurements and the amount of noise in the pair-wise distance measurements. This paper proposes a specialized form of the anchored MDS algorithm that undermines missing tag-to-tag distances in the connectivity matrix. We show that decoupling tag-to-tag interactions in the Scaling by MAjorizing a COmplicated Function (SMACOF) algorithm can undermine the effects of missing tag-to-tag distances and produce tag configurations that are inferred directly from only anchor-tag pairwise distances.
{"title":"MDS-based localization with known anchor locations and missing tag-to-tag distances","authors":"Moses A. Koledoye, T. Facchinetti, L. Almeida","doi":"10.1109/ETFA.2017.8247768","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247768","url":null,"abstract":"Multidimensional Scaling (MDS) can be used to localize a set of nodes (tags) by evaluating their distances from another set of nodes having known location (anchors). Node localization with MDS generally requires that the proximity graph be fully connected. This implies that matrices generated from tag-anchor ranging for which tag-to-tag distances are missing can not be used directly with the MDS algorithm without the use of estimates for the missing data. These estimates, however, unavoidably introduce some approximations in the localization process, which can become relatively large depending on the number of missing measurements and the amount of noise in the pair-wise distance measurements. This paper proposes a specialized form of the anchored MDS algorithm that undermines missing tag-to-tag distances in the connectivity matrix. We show that decoupling tag-to-tag interactions in the Scaling by MAjorizing a COmplicated Function (SMACOF) algorithm can undermine the effects of missing tag-to-tag distances and produce tag configurations that are inferred directly from only anchor-tag pairwise distances.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"20 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73302838","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247696
J. Berner, K. Soltesz
This paper demonstrates how second-order time-delayed models adequate for PID controller synthesis can be identified from significantly shorter relay experiments, than used in previous publications to obtain first-order time-delayed models. Apart from having good noise robustness properties, the proposed method explicitly addresses non-stationary initial states of the dynamics to be identified, and handles constant load disturbances.
{"title":"Short and robust experiments in relay autotuners","authors":"J. Berner, K. Soltesz","doi":"10.1109/ETFA.2017.8247696","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247696","url":null,"abstract":"This paper demonstrates how second-order time-delayed models adequate for PID controller synthesis can be identified from significantly shorter relay experiments, than used in previous publications to obtain first-order time-delayed models. Apart from having good noise robustness properties, the proposed method explicitly addresses non-stationary initial states of the dynamics to be identified, and handles constant load disturbances.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"23 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82169554","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247757
J. Silvestre-Blanes
Governors on embedded systems have the function of regulating the voltage and frequency of the processors with the aim of satisfying the user's needs and at the same time reducing energy consumption necessary to achieve this. The most common use of these governors, from the point of view of energysaving, is in smartphones, in which the load that the system has to support is extremely variable depending on the user. In industry 4.0, and particularly in Visual Sensor Networks, the load has different characteristics from that of smartphones, and thus both the choice of governor as well as its configuration can allow significant savings in terms of energy, while still satisfying the requirements of the aplication. In this paper a methodology for configuring the Interactive governor is developed which guarantess the response time of the application but also offers energy savings around 40%, depending on the variability of the load.
{"title":"Interactive governor on ARM architectures for image processing applications with variable requirements","authors":"J. Silvestre-Blanes","doi":"10.1109/ETFA.2017.8247757","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247757","url":null,"abstract":"Governors on embedded systems have the function of regulating the voltage and frequency of the processors with the aim of satisfying the user's needs and at the same time reducing energy consumption necessary to achieve this. The most common use of these governors, from the point of view of energysaving, is in smartphones, in which the load that the system has to support is extremely variable depending on the user. In industry 4.0, and particularly in Visual Sensor Networks, the load has different characteristics from that of smartphones, and thus both the choice of governor as well as its configuration can allow significant savings in terms of energy, while still satisfying the requirements of the aplication. In this paper a methodology for configuring the Interactive governor is developed which guarantess the response time of the application but also offers energy savings around 40%, depending on the variability of the load.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"11 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82560925","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247740
Josey Mathew, Ming Luo, C. Pang
Estimating the remaining useful life (RUL) of systems and/or equpipments has been an important goal for reliable, safe, and profitable operation of industrial plants. However, traditional mathematical and statistical modeling based approaches are difficult to design and they adapt poorly to the ever changing operating and environmental conditions in real-world industries. With recent developments in computational technologies, data storage, and industrial automation recording and storage of large amounts of historical plant data from embedded sensors and maintenance records have become easy. Availability of large data sets together with advancements in data driven machine learning algorithms has been the key driver for prognostic and diagnostic research in the industry as well as by academia. Nevertheless, developing generalized machine learning algorithms for the prognostic domain has been challenging due to the very nature of the problem. This paper describes some of these challenges and proposes a modified regression kernel that can be used by support vector regression (SVR) for prognostic problems. The method is tested on a simplified simulated time-series data set that is modeled to represent the challenges presented.
{"title":"Regression kernel for prognostics with support vector machines","authors":"Josey Mathew, Ming Luo, C. Pang","doi":"10.1109/ETFA.2017.8247740","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247740","url":null,"abstract":"Estimating the remaining useful life (RUL) of systems and/or equpipments has been an important goal for reliable, safe, and profitable operation of industrial plants. However, traditional mathematical and statistical modeling based approaches are difficult to design and they adapt poorly to the ever changing operating and environmental conditions in real-world industries. With recent developments in computational technologies, data storage, and industrial automation recording and storage of large amounts of historical plant data from embedded sensors and maintenance records have become easy. Availability of large data sets together with advancements in data driven machine learning algorithms has been the key driver for prognostic and diagnostic research in the industry as well as by academia. Nevertheless, developing generalized machine learning algorithms for the prognostic domain has been challenging due to the very nature of the problem. This paper describes some of these challenges and proposes a modified regression kernel that can be used by support vector regression (SVR) for prognostic problems. The method is tested on a simplified simulated time-series data set that is modeled to represent the challenges presented.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"32 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87950826","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247597
Marina Gutiérrez, A. Ademaj, W. Steiner, R. Dobrin, S. Punnekkat
Configuration processes of real-time networks are costly both in terms of time and engineering effort and require the system to be shutdown during the reconfiguration phase thus resulting in significant down time as well. The convergence of IT/OT technologies is bringing a whole world of possibilities for the configuration and management of real-time networks for the automation industry. With software defined networking (SDN) features like the separation of the data and control plane and standards like IEEE 802.1 developed with the goal of adding deterministic capabilities to traditionally dynamic switched Ethernet networks, the plug and play paradigm is almost around the corner. In this paper, we go one step further and start looking into the self-configuration of real-time networks. To achieve that we propose to introduce a Configuration Agent in the network, an entity that continuously monitors the network to detect changes and automatically update the configuration to adapt to such changes while maintaining desired quality of service. We present here the complete framework for the Configuration Agent that will provide self-configuration capabilities to real-time networks. The proposed framework has IEEE 802.1 as its core, but also shows how the set of standards need to be extended in order to achieve the self-configuration requirements. Concretely we examine the role of existing communication protocols like NETCONF and OPC-UA and propose the essential ingredients (managed objects) for a YANG model for the learning aspects in the bridges, including different working modes.
{"title":"Self-configuration of IEEE 802.1 TSN networks","authors":"Marina Gutiérrez, A. Ademaj, W. Steiner, R. Dobrin, S. Punnekkat","doi":"10.1109/ETFA.2017.8247597","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247597","url":null,"abstract":"Configuration processes of real-time networks are costly both in terms of time and engineering effort and require the system to be shutdown during the reconfiguration phase thus resulting in significant down time as well. The convergence of IT/OT technologies is bringing a whole world of possibilities for the configuration and management of real-time networks for the automation industry. With software defined networking (SDN) features like the separation of the data and control plane and standards like IEEE 802.1 developed with the goal of adding deterministic capabilities to traditionally dynamic switched Ethernet networks, the plug and play paradigm is almost around the corner. In this paper, we go one step further and start looking into the self-configuration of real-time networks. To achieve that we propose to introduce a Configuration Agent in the network, an entity that continuously monitors the network to detect changes and automatically update the configuration to adapt to such changes while maintaining desired quality of service. We present here the complete framework for the Configuration Agent that will provide self-configuration capabilities to real-time networks. The proposed framework has IEEE 802.1 as its core, but also shows how the set of standards need to be extended in order to achieve the self-configuration requirements. Concretely we examine the role of existing communication protocols like NETCONF and OPC-UA and propose the essential ingredients (managed objects) for a YANG model for the learning aspects in the bridges, including different working modes.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"112 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87085628","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247587
Abdulkadir Karaagac, J. Haxhibeqiri, Matteo Ridolfi, W. Joseph, I. Moerman, J. Hoebeke
Due to the fast emergence of location-based services and the absence of a widely adopted localization technology for indoor environments, Indoor Localization Systems have become a central topic of research in the last decade. Although there is a significant amount of research targeting indoor localization technologies and their performance, most of these efforts only focus on theory, system design or evaluation in non-industrial environments, usually offices or healthcare spaces. In this work, a detailed performance evaluation of two commercially available accurate localization technologies, based on Bluetooth Low Energy (LE) and Ultra-wideband (UWB), in an industrial environment is presented to create an experimental understanding of their behaviour in similar conditions and to investigate their potential to be used in industrial applications with concrete localization requirements. For this purpose, these localization technologies are examined with respect to various performance criteria in several scenarios in a real industrial site.
{"title":"Evaluation of accurate indoor localization systems in industrial environments","authors":"Abdulkadir Karaagac, J. Haxhibeqiri, Matteo Ridolfi, W. Joseph, I. Moerman, J. Hoebeke","doi":"10.1109/ETFA.2017.8247587","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247587","url":null,"abstract":"Due to the fast emergence of location-based services and the absence of a widely adopted localization technology for indoor environments, Indoor Localization Systems have become a central topic of research in the last decade. Although there is a significant amount of research targeting indoor localization technologies and their performance, most of these efforts only focus on theory, system design or evaluation in non-industrial environments, usually offices or healthcare spaces. In this work, a detailed performance evaluation of two commercially available accurate localization technologies, based on Bluetooth Low Energy (LE) and Ultra-wideband (UWB), in an industrial environment is presented to create an experimental understanding of their behaviour in similar conditions and to investigate their potential to be used in industrial applications with concrete localization requirements. For this purpose, these localization technologies are examined with respect to various performance criteria in several scenarios in a real industrial site.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"140 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86622828","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247679
S. Rastegarpour, L. Ferrarini
The dynamic model of thermal zones has nonlinear characteristics, large inertia and time variability. Dominating these difficulties in order to increase overall energy efficiency in buildings and improve the comfort level of building occupants is a controversial issue nowadays. Although there are several traditional, simple and effective control strategies such as thermostatic valves on radiators (TVR) or PID controllers to cope with these difficulties, some alternative solutions may be more efficient. In this study, the dynamic model of a single zone including hydronic system will be formulated according to the energy balance equation of the wall, pavement, zone and pipelines. This model can be easily extended to large thermal zones for instance for commercial buildings. Then, the suboptimal second order Sliding Mode Control (SMC) will be implemented on the simplified dynamic model. Besides, first order SMC will be analyzed for comparison and cross-validation of the suboptimal method. At the end the application of sliding mode approach will be analyzed for a radiant floor model including mixing valve and return water as an uncertainty resource. The main purpose of this study is to formulate a reliable dynamic model for thermal zones and make a cross-validation on the implemented first order SMC and suboptimal second order SMC.
{"title":"Cross-validation of sliding mode control strategies for radiant floor temperature control","authors":"S. Rastegarpour, L. Ferrarini","doi":"10.1109/ETFA.2017.8247679","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247679","url":null,"abstract":"The dynamic model of thermal zones has nonlinear characteristics, large inertia and time variability. Dominating these difficulties in order to increase overall energy efficiency in buildings and improve the comfort level of building occupants is a controversial issue nowadays. Although there are several traditional, simple and effective control strategies such as thermostatic valves on radiators (TVR) or PID controllers to cope with these difficulties, some alternative solutions may be more efficient. In this study, the dynamic model of a single zone including hydronic system will be formulated according to the energy balance equation of the wall, pavement, zone and pipelines. This model can be easily extended to large thermal zones for instance for commercial buildings. Then, the suboptimal second order Sliding Mode Control (SMC) will be implemented on the simplified dynamic model. Besides, first order SMC will be analyzed for comparison and cross-validation of the suboptimal method. At the end the application of sliding mode approach will be analyzed for a radiant floor model including mixing valve and return water as an uncertainty resource. The main purpose of this study is to formulate a reliable dynamic model for thermal zones and make a cross-validation on the implemented first order SMC and suboptimal second order SMC.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"78 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88985893","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247586
Prerna Bihani, R. Drath
This paper describes a concept and its industrial pilot of a methodology for how to automate the data exchange between multiple engineering tools by means of AutomationML without a predefined semantic harmonization or a central database. Key challenges in the methodology and its industrial application are interoperability between 20 participating independent engineering tool platforms, identification of inconsistencies and guiding the project manager to areas of inconsistency. The key focus of this paper is not a commercial product; instead, the authors describe the methodological challenges, derive related requirements and describe the concepts to fulfill the collected requirements.
{"title":"Concept for AutomationML-based interoperability between multiple independent engineering tools without semantic harmonization: Experiences with AutomationML","authors":"Prerna Bihani, R. Drath","doi":"10.1109/ETFA.2017.8247586","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247586","url":null,"abstract":"This paper describes a concept and its industrial pilot of a methodology for how to automate the data exchange between multiple engineering tools by means of AutomationML without a predefined semantic harmonization or a central database. Key challenges in the methodology and its industrial application are interoperability between 20 participating independent engineering tool platforms, identification of inconsistencies and guiding the project manager to areas of inconsistency. The key focus of this paper is not a commercial product; instead, the authors describe the methodological challenges, derive related requirements and describe the concepts to fulfill the collected requirements.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"29 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90381176","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247670
G. Gutermuth, Mario Hoernicke
This paper introduces an algorithm to construct a plant topology from analyzing correlations in operations data and iteratively combining pieces of information to the final result. Selected domain specific rules are given in detail and applied to a feeder unit example of a continuous process plant. The final result is good in accordance with the initial example P&ID. Benefits of the method and further research fields are discussed.
{"title":"Automatic generation of plant topologies by analysing operations data","authors":"G. Gutermuth, Mario Hoernicke","doi":"10.1109/ETFA.2017.8247670","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247670","url":null,"abstract":"This paper introduces an algorithm to construct a plant topology from analyzing correlations in operations data and iteratively combining pieces of information to the final result. Selected domain specific rules are given in detail and applied to a feeder unit example of a continuous process plant. The final result is good in accordance with the initial example P&ID. Benefits of the method and further research fields are discussed.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"57 7","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91430988","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 : 2017-09-01DOI: 10.1109/ETFA.2017.8247631
A. Yanou, M. Minami, T. Matsuno
This paper explores a strong stability system, which regulates safety for generalized minimum variance control (GMVC). GMVC is one of the control methods for application in industry and the controller is designed by generalized output to make the closed-loop system stable. Once the generalized output is designed, the derived controller cannot be re-designed without changing the closed-loop characteristic. For safe applications in industry, it is desirable that both of the closed-loop system and the controller are stable. That is, the strong stability system, which means that both of the closed-loop system and the controller are stable, is desirable to develop the applications. Although authors have proposed the extended GMVC design methods and the strong stability systems by using coprime factorization, there is a problem that the degree of controller may be higher than the conventional method because stable polynomial is needed in order to obtain coprime factorization. Therefore this paper directly extends GMVC without coprime factorization, and a strong stability system regulating safety is studied from the view point of the quantity of feedback signal. Some numerical examples are shown in order to check the characteristic of the proposed method.
{"title":"Strong stability system regulating safety for generalized minimum variance control","authors":"A. Yanou, M. Minami, T. Matsuno","doi":"10.1109/ETFA.2017.8247631","DOIUrl":"https://doi.org/10.1109/ETFA.2017.8247631","url":null,"abstract":"This paper explores a strong stability system, which regulates safety for generalized minimum variance control (GMVC). GMVC is one of the control methods for application in industry and the controller is designed by generalized output to make the closed-loop system stable. Once the generalized output is designed, the derived controller cannot be re-designed without changing the closed-loop characteristic. For safe applications in industry, it is desirable that both of the closed-loop system and the controller are stable. That is, the strong stability system, which means that both of the closed-loop system and the controller are stable, is desirable to develop the applications. Although authors have proposed the extended GMVC design methods and the strong stability systems by using coprime factorization, there is a problem that the degree of controller may be higher than the conventional method because stable polynomial is needed in order to obtain coprime factorization. Therefore this paper directly extends GMVC without coprime factorization, and a strong stability system regulating safety is studied from the view point of the quantity of feedback signal. Some numerical examples are shown in order to check the characteristic of the proposed method.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"6 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83044689","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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