Search results for "System Dynamic"
showing 10 items of 256 documents
A computational method to optimal control of a wind turbine system using wavelets
2011
Author's version of a chapter in the book: Proceedings of the IEEE International Syposium on Computer-Aided Control System Design (2011). Also avaliable from the publisher at: http://dx.doi.org/10.1109/CACSD.2011.6044551 This paper deals with a computational optimization approach to the problem of state-feedback control design for a wind turbine system. The first step of the study is to develop a reduced order model for the system by considering the most important physical phenomena of aerodynamics and structural dynamics. Moreover, the behavior of the system can be influenced by the coupled dynamics between the tower motions and the blade pitch and turbine speed which can cause instabiliti…
Fuzzy Sliding Mode Controller Design Using Takagi-Sugeno Modelled Nonlinear Systems
2013
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/734094 Open access Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in this paper. The unknown system dynamics and upper bounds of the minimum approximation errors are adaptively updated with stabilizing adaptive laws. The closed-loop system driven by the proposed controllers is shown to be stable with all the adaptation parameters being bounded. The performance and stability of the proposed control system are achieved analytically using the Lyapunov stability theory. Simulations show that the …
Introducing a strategic perspective in lean thinking applications through system dynamics modelling: the dynamic Value Stream Map
2020
PurposeLean Thinking is an operation management discipline which aims to identify, map and analyse the activities forming a process to detect “value waste” and outline the most effective flow of activities to execute in sequence. Process mapping is often developed in lean projects through the use of the Value Stream Map (VSM). Like many other management tools, the VSM adopts a static and non-systemic perspective in the representation of an organizational process. This may result in the implementation of Lean projects inconsistent with the overall organizational long-term strategy, thus leading to dysfunctional performance. In order to overcome this limit, the paper suggests combining VSM wi…
Dynamic business modeling for sustainability: Exploring a system dynamics perspective to develop sustainable business models
2019
In the last decade, business models for sustainability have gained increasing attraction by corporate sustainability scholars with international conferences and scientific journals encouraging the development of the debate on their design, use and innovation processes. Capitalizing on the basic principles, requirements, and methodological limitations found in the literature on sustainability‐oriented business model design, this paper aims to conceptualize a dynamic business modeling for sustainability approach, which combines an adapted sustainable business model canvas and system dynamics modeling. To this end, the paper also illustrates the key operating principles of the proposed approac…
Enhancing Waste Governance through Dynamic Performance Management. An analysis of the Sicilian Waste System.
Organizational Performance Dynamics : a preliminary model
2023
The main objective of this model (an Interactive Learning Environment) is to help the reader understand how employees' motivational dynamics influence organizational performance. The model will allow you, through an iterative learning process, to understand: - the feedback structure of dynamic organizational performance system - the main motivational variables that influence the organizational performance - the organizational levers able to affect the employees' motivational dynamics The model will allow the reader to figure out the complex relationship between employee motivation and organizational performance through an "experimental" approach, using the simulation features provided by th…
SYSTEM DYNAMICS VERSUS CELLULAR AUTOMATA IN MODELLING PANIC SITUATIONS
2008
International audience; In this paper we face system dynamics modelling and cellular automata to model panic processes. We compare both models using phase plans. The results of simulation confirm our hypotheses: First, a collective behaviour is not the arithmetical sum of the individual behaviours. Secondly the crowd causes the emergence of collective panic from individual panic. Both types of methodology produce the emergence of panic and identical curves for different values of initial conditions and parameters. But the effects of thresholds vary according to these values.
Outlining the impact of intellectual capital accumulation and depletion processes on the performance of an insurance firm: a dynamic resource-based p…
2014
This paper aims to develop a conceptual framework on how Intellectual Capital (IC) accumulation and depletion processes are dynamically interrelated with firm performance. Such a framework makes explicit the relationships between policy levers, strategic resources, drivers, end-results and performance indicators through a Dynamic Resource-based perspective. Such an approach matches the Resource based perspective and the System Dynamics (SD) methodology. This paper argues that in order to explain a firm superior performance, it is not sufficient to look at the endowment of strategic resources in a given moment of time; it is instead required to investigate the dynamics of company strategic r…
Using System Dynamics to Model Student Performance in an Intelligent Tutoring System
2017
One basic adaptation function of an Intelligent Tutoring System (ITS) consists of selecting the most appropriate next task to be offered to the learner. This decision can be based on estimates, such as the expected performance of the student, or the probability that the student successfully solves each particular task. However, the computation of these values is intrinsically difficult, as they may depend on other complex latent variables that also need to be estimated from observable quantities, e.g. the current student's ability. In this work, we have used system dynamics to model learning and predict the student's performance in a given exercise, in an existing ITS that was developed to …