Pub Date : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575250
S. Henson, M. Henshaw, V. Barot, C. Siemieniuch, M. Sinclair, M. Jamshidi, H. Dogan, Soo Ling Lim, Cornelius Ncube, D. DeLaurentis
This paper presents the work undertaken so far in the formulation of a Strategic Research Agenda (SRA) for research in Systems of Systems Engineering in the EU. The T-AREA-SoS project is introduced to provide a context, together with a section on Drivers for Change which the SRA needs to take into account. The strategy and process for the generation of the SRA is described, followed by details of outputs to date and the potential benefits it is believed would accrue from the implementation of the SRA.
{"title":"Towards a Systems of Systems Engineering EU Strategic Research Agenda","authors":"S. Henson, M. Henshaw, V. Barot, C. Siemieniuch, M. Sinclair, M. Jamshidi, H. Dogan, Soo Ling Lim, Cornelius Ncube, D. DeLaurentis","doi":"10.1109/SYSoSE.2013.6575250","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575250","url":null,"abstract":"This paper presents the work undertaken so far in the formulation of a Strategic Research Agenda (SRA) for research in Systems of Systems Engineering in the EU. The T-AREA-SoS project is introduced to provide a context, together with a section on Drivers for Change which the SRA needs to take into account. The strategy and process for the generation of the SRA is described, followed by details of outputs to date and the potential benefits it is believed would accrue from the implementation of the SRA.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128433608","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575241
H. Dogan, V. Barot, M. Henshaw, C. Siemieniuch
The emergence of Systems of Systems Engineering (SoSE) poses challenges to the consistent use of terminology within and/or across heterogeneous sectors such as transport, energy and defence. In preparation for Horizon 2020, an €80 billion financial instrument running from 2014 to 2020 to implement the Europe 2020 strategy, the European Commission funded T-AREA-SoS project to formulate a strategic research agenda for SoSE that spans US and Europe activities. As part of T-AREA-SoS, a thesaurus will be created to ensure that SoS concepts and terms are consistently interpreted, and to provide an artefact that will be of significant assistance to planners of future programmes in SoSE. This paper proposes an approach for the formalisation and mapping of terminologies for a SoSE thesaurus development. This paper also discusses the theoretical foundations and exemplars of this applied approach in addition to the user interface specification for a proposed web-based thesaurus development.
{"title":"Formalisation and mapping of terminologies for Systems of Systems Engineering thesaurus","authors":"H. Dogan, V. Barot, M. Henshaw, C. Siemieniuch","doi":"10.1109/SYSoSE.2013.6575241","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575241","url":null,"abstract":"The emergence of Systems of Systems Engineering (SoSE) poses challenges to the consistent use of terminology within and/or across heterogeneous sectors such as transport, energy and defence. In preparation for Horizon 2020, an €80 billion financial instrument running from 2014 to 2020 to implement the Europe 2020 strategy, the European Commission funded T-AREA-SoS project to formulate a strategic research agenda for SoSE that spans US and Europe activities. As part of T-AREA-SoS, a thesaurus will be created to ensure that SoS concepts and terms are consistently interpreted, and to provide an artefact that will be of significant assistance to planners of future programmes in SoSE. This paper proposes an approach for the formalisation and mapping of terminologies for a SoSE thesaurus development. This paper also discusses the theoretical foundations and exemplars of this applied approach in addition to the user interface specification for a proposed web-based thesaurus development.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115143983","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575285
A. El-Osery, S. Bruder, D. Laughlin
In a system of systems context, a variety of applications are dependent on the knowledge of location and attitude of individual agents in order to collaborate. For example, a soldier on the battle field observing a potential target transmits this information to a base station which then is shared with an unmanned air vehicle for surveillance. Without precise knowledge of the soldier's position and azimuth angle to the target, the handoff to the UAV would not carry much merit. The availability of low-cost MEMS inertial measurement units (IMU) increases the feasibility of realizing a compact inertial navigation systems (INS) capable of operating in a variety of environments, including GPS degraded or denied scenarios. Due to errors in the IMU, it is very challenging to self-initialize the attitude of the device in a reasonable time frame. In this paper, we present a novel approach that utilizes a unique magnetohydrodynamic (MHD) angular rate sensor (ARS) in a carouseling configuration in order to perform attitude self-initialization to within 4-milli radians in less than a minute. Further more, real environmental issues, such as platform vibration and base motion (e.g. sinking) are also addressed.
{"title":"High-accuracy heading determination","authors":"A. El-Osery, S. Bruder, D. Laughlin","doi":"10.1109/SYSoSE.2013.6575285","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575285","url":null,"abstract":"In a system of systems context, a variety of applications are dependent on the knowledge of location and attitude of individual agents in order to collaborate. For example, a soldier on the battle field observing a potential target transmits this information to a base station which then is shared with an unmanned air vehicle for surveillance. Without precise knowledge of the soldier's position and azimuth angle to the target, the handoff to the UAV would not carry much merit. The availability of low-cost MEMS inertial measurement units (IMU) increases the feasibility of realizing a compact inertial navigation systems (INS) capable of operating in a variety of environments, including GPS degraded or denied scenarios. Due to errors in the IMU, it is very challenging to self-initialize the attitude of the device in a reasonable time frame. In this paper, we present a novel approach that utilizes a unique magnetohydrodynamic (MHD) angular rate sensor (ARS) in a carouseling configuration in order to perform attitude self-initialization to within 4-milli radians in less than a minute. Further more, real environmental issues, such as platform vibration and base motion (e.g. sinking) are also addressed.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127199713","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575245
R. Welch, D. Limonadi, R. Manning
This paper will discuss systems engineering challenges in development of the Mars Science Laboratory Curiosity Rover. As of the writing of this paper, Curiosity has been successfully exploring the surface of Mars for months, but during development it was not always clear it would be a success. MSL is by design three spacecraft in one: The cruise system to get from Earth to Mars; the entry descent and landing system; and the Rover to perform the intended scientific exploration. Each of these has it own unique challenges and is intertwined given the integrated nature of the design. The rover's complex science payload, sampling system and overall scale resulted in many technical challenges. This paper will present a few examples of the systems engineering challenges overcome during the development of the Curiosity rover.
{"title":"Systems engineering the Curiosity Rover: A retrospective","authors":"R. Welch, D. Limonadi, R. Manning","doi":"10.1109/SYSoSE.2013.6575245","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575245","url":null,"abstract":"This paper will discuss systems engineering challenges in development of the Mars Science Laboratory Curiosity Rover. As of the writing of this paper, Curiosity has been successfully exploring the surface of Mars for months, but during development it was not always clear it would be a success. MSL is by design three spacecraft in one: The cruise system to get from Earth to Mars; the entry descent and landing system; and the Rover to perform the intended scientific exploration. Each of these has it own unique challenges and is intertwined given the integrated nature of the design. The rover's complex science payload, sampling system and overall scale resulted in many technical challenges. This paper will present a few examples of the systems engineering challenges overcome during the development of the Curiosity rover.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123194417","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575244
R. Welch, D. Limonadi, J. Samuels, N. Warner, Chaz Morantz
This paper will discuss the system level verification and validation test program for the surface capability of the Mars Science Laboratory (MSL) Curiosity Rover. MSL has many similarities to its predecessors, the Mars Exploration Rovers Spirit and Opportunity. However, Curiosity's diverse science payload, new sampling system, and overall scale led to new challenges in development and testing. The rover hardware and software were developed to allow certain functions to work in parallel to maximize the science that could be done each day on Mars. This led to complex behavioral interactions, which had to be tested and verified before they could be trusted. An incremental test program was developed that first exercised and verified individual functions and then validated system capabilities in mission-like scenarios. The plans, execution and results of these mission-like surface system tests will be presented.
{"title":"Verification and validation of Mars Science Laboratory surface system","authors":"R. Welch, D. Limonadi, J. Samuels, N. Warner, Chaz Morantz","doi":"10.1109/SYSoSE.2013.6575244","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575244","url":null,"abstract":"This paper will discuss the system level verification and validation test program for the surface capability of the Mars Science Laboratory (MSL) Curiosity Rover. MSL has many similarities to its predecessors, the Mars Exploration Rovers Spirit and Opportunity. However, Curiosity's diverse science payload, new sampling system, and overall scale led to new challenges in development and testing. The rover hardware and software were developed to allow certain functions to work in parallel to maximize the science that could be done each day on Mars. This led to complex behavioral interactions, which had to be tested and verified before they could be trusted. An incremental test program was developed that first exercised and verified individual functions and then validated system capabilities in mission-like scenarios. The plans, execution and results of these mission-like surface system tests will be presented.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123824271","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575233
Michel Mamrot, P. Winzer
The Development of complex products in a satisfactory way is a difficult task. This is confirmed by the increasing number of recalls and customer complaints. In order to achieve a high product quality, different approaches were developed; one is the Generic System Engineering (GSE), a method that fits the complex product system in a standardized system model. The product system is in fact influenced to a high degree by the environment. To consider this impact, this paper discusses the structuring of the environment into processes and locations and their influences to the product system. This allows the systematic use of field data to limit the quantity of elements and their interaction in the processes and locations in order to improve the process of problem-solving. The benefit is to learn from mistakes in the context of the GSE. This supports cause-analysis, effect-analysis and therefore the enhancement of product systems.
{"title":"Approach for structuring the product environment for a systematic analysis of field data","authors":"Michel Mamrot, P. Winzer","doi":"10.1109/SYSoSE.2013.6575233","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575233","url":null,"abstract":"The Development of complex products in a satisfactory way is a difficult task. This is confirmed by the increasing number of recalls and customer complaints. In order to achieve a high product quality, different approaches were developed; one is the Generic System Engineering (GSE), a method that fits the complex product system in a standardized system model. The product system is in fact influenced to a high degree by the environment. To consider this impact, this paper discusses the structuring of the environment into processes and locations and their influences to the product system. This allows the systematic use of field data to limit the quantity of elements and their interaction in the processes and locations in order to improve the process of problem-solving. The benefit is to learn from mistakes in the context of the GSE. This supports cause-analysis, effect-analysis and therefore the enhancement of product systems.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275816","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575234
V. Barot, M. Henshaw, C. Siemieniuch, H. Dogan
Design of a web-based thesaurus for Systems of Systems Engineering (SoSE) discipline is presented in this article. Due to lack of linguistic clarity within this emerging discipline, there is a strong need to represent and interpret SoS concepts and terms to align heterogeneous models, and tools and techniques developed for SoS operations, management and its governance. A Blackboard-based systems approach is therefore used to devise a model, providing a mechanism for high level organisation and sharing of knowledge and information within the SoSE thesaurus system. To illustrate its applicability, a scenario derived from realistic use cases is provided. The potential benefits of this research are identified and a brief description of intended further work is given.
{"title":"Design of a web-based thesaurus for Systems of Systems Engineering","authors":"V. Barot, M. Henshaw, C. Siemieniuch, H. Dogan","doi":"10.1109/SYSoSE.2013.6575234","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575234","url":null,"abstract":"Design of a web-based thesaurus for Systems of Systems Engineering (SoSE) discipline is presented in this article. Due to lack of linguistic clarity within this emerging discipline, there is a strong need to represent and interpret SoS concepts and terms to align heterogeneous models, and tools and techniques developed for SoS operations, management and its governance. A Blackboard-based systems approach is therefore used to devise a model, providing a mechanism for high level organisation and sharing of knowledge and information within the SoSE thesaurus system. To illustrate its applicability, a scenario derived from realistic use cases is provided. The potential benefits of this research are identified and a brief description of intended further work is given.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121113085","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575263
B. Tannahill, C. Maute, Yunus Yetis, Maryam N. Ezell, A. Jaimes, Roberto Rosas, A. Motaghi, Halid Kaplan, M. Jamshidi
Large data has been accumulating in all aspects of our lives for quite some time. Advances in sensor technology, the Internet, wireless communication, and inexpensive memory have all contributed to an explosion of “Big Data”. System of Systems (SoS) integrate independently operating, non-homogeneous systems to achieve a higher goal than the sum of the parts. Today's SoS are also contributing to the existence of unmanageable “Big Data”. Recent efforts have developed a promising approach, called “Data Analytics”, which uses statistical and computational intelligence (CI) tools such as principal component analysis (PCA), clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, etc. to reduce the size of “Big Data” to a manageable size and apply these tools to a) extract information, b) build a knowledge base using the derived data, and c) eventually develop a non-parametric model for the “Big Data”. This paper attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems. A photovoltaic energy forecasting problem of a micro grid SoS will be offered here for a case study of this modeling relation.
{"title":"Modeling of system of systems via data analytics — Case for “Big Data” in SoS","authors":"B. Tannahill, C. Maute, Yunus Yetis, Maryam N. Ezell, A. Jaimes, Roberto Rosas, A. Motaghi, Halid Kaplan, M. Jamshidi","doi":"10.1109/SYSoSE.2013.6575263","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575263","url":null,"abstract":"Large data has been accumulating in all aspects of our lives for quite some time. Advances in sensor technology, the Internet, wireless communication, and inexpensive memory have all contributed to an explosion of “Big Data”. System of Systems (SoS) integrate independently operating, non-homogeneous systems to achieve a higher goal than the sum of the parts. Today's SoS are also contributing to the existence of unmanageable “Big Data”. Recent efforts have developed a promising approach, called “Data Analytics”, which uses statistical and computational intelligence (CI) tools such as principal component analysis (PCA), clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, etc. to reduce the size of “Big Data” to a manageable size and apply these tools to a) extract information, b) build a knowledge base using the derived data, and c) eventually develop a non-parametric model for the “Big Data”. This paper attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems. A photovoltaic energy forecasting problem of a micro grid SoS will be offered here for a case study of this modeling relation.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129896412","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575273
Noah Wenger, Anastasia Antoniev, A. Gorod
Societal and technological advancements along with lessons learned from previous projects and space programs resulted in the creation of the International Space Station (ISS). The ISS is an engineering marvel created by a collaboration of 16 International Partners (IP's), space agencies, contractors and sub-contractors whose primary purpose is to conduct research in space for benefit of mankind. However, currently, there are several major challenges relating to the management of the ISS such as budget, time, governance, and collaboration/competition which can hamper the evolution of the ISS and which can potentially lead to the failure of the system. The ISS still primarily relies on traditional systems engineering (SE) methodology which lacks the necessary flexibility to deal with the emergent challenges of the ISS system. This paper proposes applying SoSE to the ISS which we suggest can mitigate these issues and provide a framework for future space research and exploration.
{"title":"The International Space Station: Applying system of systems methodology","authors":"Noah Wenger, Anastasia Antoniev, A. Gorod","doi":"10.1109/SYSoSE.2013.6575273","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575273","url":null,"abstract":"Societal and technological advancements along with lessons learned from previous projects and space programs resulted in the creation of the International Space Station (ISS). The ISS is an engineering marvel created by a collaboration of 16 International Partners (IP's), space agencies, contractors and sub-contractors whose primary purpose is to conduct research in space for benefit of mankind. However, currently, there are several major challenges relating to the management of the ISS such as budget, time, governance, and collaboration/competition which can hamper the evolution of the ISS and which can potentially lead to the failure of the system. The ISS still primarily relies on traditional systems engineering (SE) methodology which lacks the necessary flexibility to deal with the emergent challenges of the ISS system. This paper proposes applying SoSE to the ISS which we suggest can mitigate these issues and provide a framework for future space research and exploration.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132610088","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 : 2013-06-02DOI: 10.1109/SYSoSE.2013.6575237
T. Mitsuishi, Takanori Terashima, Nami Shimada, Toshimichi Homma, Y. Shidama
This study has been studied SIRMs (Single Input Rule Modules) connected fuzzy inference model in order to provide the insight into fuzzy control systems. The framework consists of two propositions: To guarantee the convergence of optimal solution, a set of fuzzy membership functions (admissible fuzzy controller) which are selected out of continuous function space is compact metrizable. And assuming approximate reasoning to be a functional on the set of membership functions, its continuity is proved. Then, we show the existence of SIRMs which minimize (maximize) the integral performance function of the nonlinear feedback fuzzy system.
{"title":"SIRMs fuzzy approximate reasoning using L-R fuzzy number as premise valuable","authors":"T. Mitsuishi, Takanori Terashima, Nami Shimada, Toshimichi Homma, Y. Shidama","doi":"10.1109/SYSoSE.2013.6575237","DOIUrl":"https://doi.org/10.1109/SYSoSE.2013.6575237","url":null,"abstract":"This study has been studied SIRMs (Single Input Rule Modules) connected fuzzy inference model in order to provide the insight into fuzzy control systems. The framework consists of two propositions: To guarantee the convergence of optimal solution, a set of fuzzy membership functions (admissible fuzzy controller) which are selected out of continuous function space is compact metrizable. And assuming approximate reasoning to be a functional on the set of membership functions, its continuity is proved. Then, we show the existence of SIRMs which minimize (maximize) the integral performance function of the nonlinear feedback fuzzy system.","PeriodicalId":346069,"journal":{"name":"2013 8th International Conference on System of Systems Engineering","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132365756","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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