The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform
William T. Schiano - One of the best experts on this subject based on the ideXlab platform.
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Thriving Systems Theory: An Emergent Information Systems Design Theory
2013 46th Hawaii International Conference on System Sciences, 2013Co-Authors: Leslie J. Waguespack, William T. SchianoAbstract:Thriving Systems Theory is an emergent design quality framework encompassing both traditional objective metrics and the subjective, aesthetics. It draws theories of design quality in physical architecture originated by Christopher Alexander, the patriarch of design patterns, into the domain of models and information Systems. Thriving Systems Theory's fifteen choice properties is an extended taxonomy of Systems design characteristics that explicate the experience of satisfaction realized between observer and artifact. The properties also denote design actions that shape that experience. This paper summarizes the synthesis of Thriving Systems Theory, its applicability to information Systems, its conformance to the anatomy of a design Theory, and the ongoing efforts to demonstrate its contribution to the advancement of design practice.
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SCRUM Project Architecture and Thriving Systems Theory
2012 45th Hawaii International Conference on System Sciences, 2012Co-Authors: Leslie J. Waguespack, William T. SchianoAbstract:Agile project management continues to gain a widening and enthusiastic following. Agile methods can achieve a high level of satisfaction among all project stakeholders (users, customers, business managers, developers, and project managers) in terms of productivity, product quality, cost containment, time-to-market, and overall morale. Success with agile requires focus on requirements and design as a continuous discovery process, posing challenges for practitioners of more traditional project management both in terms of method adoption and sustained commitment. Thriving Systems Theory clarifies the appeal of agile project structure and processes, helps project teams determine and achieve the optimal portfolio of quality characteristics, and better articulate their value to all stakeholders. Thriving Systems Theory is an emerging framework of Systems design quality that translates the research of design pattern patriarch Christopher Alexander on physical architecture design quality into the domain of Systems engineering. The satisfaction achieved through agile methods is explained by Thriving Systems Theory's fifteen choice properties of Systems design quality. We demonstrate by identifying the manifestation of the choice properties in SCRUM, an exemplar of agile software project management.
Leslie J. Waguespack - One of the best experts on this subject based on the ideXlab platform.
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Thriving Systems Theory: An Emergent Information Systems Design Theory
2013 46th Hawaii International Conference on System Sciences, 2013Co-Authors: Leslie J. Waguespack, William T. SchianoAbstract:Thriving Systems Theory is an emergent design quality framework encompassing both traditional objective metrics and the subjective, aesthetics. It draws theories of design quality in physical architecture originated by Christopher Alexander, the patriarch of design patterns, into the domain of models and information Systems. Thriving Systems Theory's fifteen choice properties is an extended taxonomy of Systems design characteristics that explicate the experience of satisfaction realized between observer and artifact. The properties also denote design actions that shape that experience. This paper summarizes the synthesis of Thriving Systems Theory, its applicability to information Systems, its conformance to the anatomy of a design Theory, and the ongoing efforts to demonstrate its contribution to the advancement of design practice.
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SCRUM Project Architecture and Thriving Systems Theory
2012 45th Hawaii International Conference on System Sciences, 2012Co-Authors: Leslie J. Waguespack, William T. SchianoAbstract:Agile project management continues to gain a widening and enthusiastic following. Agile methods can achieve a high level of satisfaction among all project stakeholders (users, customers, business managers, developers, and project managers) in terms of productivity, product quality, cost containment, time-to-market, and overall morale. Success with agile requires focus on requirements and design as a continuous discovery process, posing challenges for practitioners of more traditional project management both in terms of method adoption and sustained commitment. Thriving Systems Theory clarifies the appeal of agile project structure and processes, helps project teams determine and achieve the optimal portfolio of quality characteristics, and better articulate their value to all stakeholders. Thriving Systems Theory is an emerging framework of Systems design quality that translates the research of design pattern patriarch Christopher Alexander on physical architecture design quality into the domain of Systems engineering. The satisfaction achieved through agile methods is explained by Thriving Systems Theory's fifteen choice properties of Systems design quality. We demonstrate by identifying the manifestation of the choice properties in SCRUM, an exemplar of agile software project management.
Dimitri Jeltsema - One of the best experts on this subject based on the ideXlab platform.
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port hamiltonian Systems Theory an introductory overview
2014Co-Authors: Arjan Van Der Schaft, Dimitri JeltsemaAbstract:An up-to-date survey of the Theory of port-Hamiltonian Systems is given, emphasizing novel developments and relationships with other formalisms. Port-Hamiltonian Systems Theory yields a systematic framework for network modeling of multi-physics Systems. Examples from different areas show the range of applicability. While the emphasis is on modeling and analysis, the last part provides a brief introduction to control of port-Hamiltonian Systems.
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Port-Hamiltonian Systems Theory: An Introductory Overview
Port-Hamiltonian Systems Theory: An Introductory Overview, 1Co-Authors: Arjan Van Der Schaft, Dimitri JeltsemaAbstract:Apart from offering a systematic and insightful framework for modeling and analysis of multi-physics Systems, port-Hamiltonian Systems Theory provides a natural starting point for control. Especially in the nonlinear case it is widely recognized that physical properties of the system - such as balance and conservation laws and energy considerations - should be exploited and respected in the design of control laws which are robust and physically interpretable. Port-Hamiltonian Systems Theory: An Introductory Overview provides a concise and easily accessible description of the foundations underpinning the subject, and goes on to emphasize novel developments in the field that will be of interest to a broad range of researchers. The tutorial style makes it suitable for use in a course and by students.
Jeffrey Forrest - One of the best experts on this subject based on the ideXlab platform.
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a brief introduction to grey Systems Theory
Grey Systems: Theory and Application, 2012Co-Authors: Jeffrey Forrest, Yingjie YangAbstract:Purpose – The purpose of this paper is to introduce the elementary concepts and fundamental principles of grey Systems and the main components of grey Systems Theory. Also to discuss the astonishing progress that grey Systems Theory has made in the world of learning and its wide‐ranging applications in the entire spectrum of science.Design/methodology/approach – The characteristics of unascertained Systems including incomplete information and inaccuracies in data are analysed and four uncertain theories: probability statistics, fuzzy mathematics, grey system and rough set Theory are compared. The scientific principle of simplicity and how precise models suffer from inaccuracies are also shown.Findings – The four uncertain theories, probability statistics, fuzzy mathematics, grey system and rough set Theory are examined with different research objects, different basic sets, different methods and procedures, different data requirements, different emphasis, different objectives and different characteristics....
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A brief introduction to grey Systems Theory
Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services, 2011Co-Authors: Jeffrey Forrest, Yingjie YangAbstract:The scientific background that grey Systems Theory comes into being, the astonishing progress that grey Systems Theory has made in the world of learning and its wide-ranging applications in the entire spectrum of science, and the characteristics of unascertained Systems include incomplete information and inaccuracies in data are presented in this paper. The scientific principle of simplicity and how precise models suffer from inaccuracies are also shown. We compared grey Systems with other kinds of uncertainty models such as stochastic probability, rough set Theory, and fuzzy mathematics. Finally, the elementary concepts and fundamental principles of grey Systems, and main components of grey Systems Theory are introduced briefly.
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Emergence and development of grey Systems Theory
Kybernetes, 2009Co-Authors: Jeffrey Forrest, Robert ValléeAbstract:Purpose – The purpose of this paper is to present the scientific background from which grey Systems Theory came into being, the astonishing progress that grey Systems Theory has made in the world of learning and its wide‐ranging applications in the entire spectrum of science.Design/methodology/approach – The grey uncertainty is compared with other kinds of uncertainty such as stochastic uncertainty, unascertainty, fuzzy and rough uncertainty.Findings – The advances in grey Systems Theory and its various successful applications are introduced individually by algorithms of grey numbers and grey algebraic Systems, grey dynamic models and grey predictions, grey optimization analysis for decision making, grey control models.Research limitations/implications – Many scientific theories require the unremitting efforts of several generations of people and have gone through hundreds of years before reaching maturity and perfection. Grey Systems Theory is still in its growth period. So, it is unavoidable that there ...
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Advances in grey Systems Theory and its applications
2007 IEEE International Conference on Grey Systems and Intelligent Services, 2007Co-Authors: Jeffrey ForrestAbstract:The scientific background that grey Systems Theory comes into being, the astonishing progress that grey Systems Theory has made in the world of learning and its wide employment in many scientific areas are presented in this paper. We compare grey Systems Theory with other kinds of uncertain information such as stochastic uncertainty, uncertainty, fuzzy uncertainty and rough uncertainty. Then the advances in grey Systems Theory and its applications are introduced by algorithms of grey numbers and grey algebraic Systems, grey dynamic models and grey predictions, grey optimization analysis for decision-making, grey control models individually. We think that people engage in grey Systems theoretical research should welcome and take all criticisms seriously. By doing so, existing problems and flaws can be overcome unceasingly, the new growing point be excavated unceasingly, exploring unceasingly, innovating unceasingly, make the grey Systems Theory grow upward unceasingly.
Arjan Van Der Schaft - One of the best experts on this subject based on the ideXlab platform.
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port hamiltonian Systems Theory an introductory overview
2014Co-Authors: Arjan Van Der Schaft, Dimitri JeltsemaAbstract:An up-to-date survey of the Theory of port-Hamiltonian Systems is given, emphasizing novel developments and relationships with other formalisms. Port-Hamiltonian Systems Theory yields a systematic framework for network modeling of multi-physics Systems. Examples from different areas show the range of applicability. While the emphasis is on modeling and analysis, the last part provides a brief introduction to control of port-Hamiltonian Systems.
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Port-Hamiltonian Systems Theory: An Introductory Overview
Port-Hamiltonian Systems Theory: An Introductory Overview, 1Co-Authors: Arjan Van Der Schaft, Dimitri JeltsemaAbstract:Apart from offering a systematic and insightful framework for modeling and analysis of multi-physics Systems, port-Hamiltonian Systems Theory provides a natural starting point for control. Especially in the nonlinear case it is widely recognized that physical properties of the system - such as balance and conservation laws and energy considerations - should be exploited and respected in the design of control laws which are robust and physically interpretable. Port-Hamiltonian Systems Theory: An Introductory Overview provides a concise and easily accessible description of the foundations underpinning the subject, and goes on to emphasize novel developments in the field that will be of interest to a broad range of researchers. The tutorial style makes it suitable for use in a course and by students.
