This paper is a review of research on the application of laboratory methods to System Dynamics (SD). Although laboratory methods have been used in psychology for many years, our review focuses on the laboratory experiments developed from the experimental economics field and on their contributions to SD and the management sciences. In particular, we examine the use of experimental methods for es...

in this paper a novel direct adaptive fuzzy system is proposed to control flexible-joints robot including actuator dynamics. the design includes two interior loops: the inner loop controls the motor position using proposed approach while the outer loop controls the joint angle of the robot using a pid control law. one novelty of this paper is the use of a pso algorithm for optimizing the contro...

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This paper aims to introduce System Dynamics (SD) in applying Drum Buffer Rope (DBR) methodology of Theory of Constraints (TOC) in a three-stage flow shop system that produces a single product. To the best of our knowledge, although there are a lot of TOC applications using discrete simulation in production scheduling with DBR methodology, there are not any TOC application of DBR methodology in...

In this paper we use Object-Role Modeling (ORM) to complement System Dynamics (SD). The art of SD modeling lies in discovering and representing feedback processes and other elements that determine the dynamics of the system. However, SD shows a lack of instruments for discovering and expressing precise, language-based concepts in domains. At the same time, the field of conceptual modeling has l...

cooperative object manipulation control of rigid-flexible multi-body systems in space is studied in this paper. during such tasks, flexible members like solar panels may get vibrated that in turn may lead to some oscillatory disturbing forces on other subsystems, and consequently produces error in the motion of the end-effectors of the cooperative manipulating arms. therefore, to design and dev...

The application of discrete event simulation and system dynamics in the logistics and supply chain context. previously worked for a research project that introduces stakeholder participation and facilitation in discrete-event simulation modelling. Her research interests include the comparison of simulation approaches (discrete-event simulation and system dynamics), participative simulation mode...

in this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. the error dynamics of each player depends on its neighbors’ information. detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. the introduced reinforcement learning-based algorithms learn online the approximate solution...