The paper presents and discusses the distinction between inductive and deductive System Dynamics modeling. Findings are that the distinction between inductive and deductive modeling is helpful in appropriately setting up, conducting, and evaluating System Dynamics projects. The discussion is based on a literature review, conceptual considerations, and the insights gained from case studies, both...

the long term goal attaining of economic system management requires the establishment of a dynamic framework to integrate multiple perspectives. this article considers the problem of economic development in macro level. as economic systems are complex adaptive systems composed of numerous numbers of components of dynamic and multidimensional nature, dynamics method is applied in this research. ...

in this paper, we try to use modeling based on singular perturbation theory, in order to control satellite attitude during the wide rolling angle maneuvering through nonlinear h∞ control strategy. differential equations describing dynamics of the satellite are presented first, and by choosing the appropriate dynamic model for actuators and based on the standard singular perturbation model, the ...

In many settings we may wish to learn dynamics at multiple timescales. For example, in the context of speech analysis, we may wish to model both the dynamics within individual phonemes as well as the dynamics across phonemes [68, 18]. In the context of modeling behavior, motion [51], or handwriting [67], it is natural to decompose movements into steps, while still modeling the statistics of the...

Inverse-feedforward control can substantially improve the performance of piezoelectric positioners (piezopositioners). The feedforward-input is found by modeling and inverting the piezopositioner dynamics. The primary challenge in such an approach is the complexity of modeling and inverting the hysteresis nonlinearity in the piezopositioner dynamics. The main contribution of this work is to all...

In this paper, we present a procedure Grounded System Dynamics (GSD) which we use as a guide to underpin a System Dynamics (SD) model with a domain modeling method called Object-Role Modeling (ORM). GSD is a combination of two existing methods (SD with ORM). By combining these two methods we generate synergy effects by using already existing modeling methods and by so doing we overcome some of ...

In many systems engineering activities the elicitation of requirements is regarded as a central activity for the efficient and effective functioning of the intended system. In recent years, the field of Requirements Engineering has received much attention and many research and practical approaches have been proposed. In this paper we present a Requirements Engineering framework that is motivate...

This paper may be considered as a practical reference for those who wish to add (now sufficiently matured) Agent Based modeling to their analysis toolkit and may or may not have some System Dynamics or Discrete Event modeling background. We focus on systems that contain large numbers of active objects (people, business units, animals, vehicles, or even things like projects, stocks, products, et...

This paper provides a comprehensive review of the literature, mostly of the last 10–15 years, that is enhancing our understanding of the mechanics of the rapidly growing field of micromachining. The paper focuses on the mechanics of the process, discussing both experimental and modeling studies, and includes some work that, while not directly focused on micromachining, provides important insigh...

In this paper, we describe a longitudinal modeling approach for examining multivariate changes and dynamics. This technique is based on latent change scores and is executed using a structural equation modeling framework. We provide an overview of the model, describing desirable features for identifying dynamics among multiple processes. We then illustrate its application using empirical data co...