Rapid Prototyping of Mechatronic Systems with Mixed Continuous and Discrete-Event Dynamics

2006 ◽  
Author(s):  
Karel Jezernik ◽  
Ales Polic ◽  
Ales Hace
Keyword(s):  
Rapid Prototyping ◽  
Discrete Event ◽  
Mechatronic Systems ◽  
Event Dynamics

scholarly journals A Cooperative and Competitive Workshop in Mechatronics Engineering

2014 ◽  
Vol 4 (1) ◽  
pp. 13
Author(s):  
Stefan Krebs ◽  
Sebastian Schmidt ◽  
Sven Matthiesen ◽  
Sören Hohmann
Keyword(s):  
Pilot Study ◽  
Rapid Prototyping ◽  
Development Process ◽  
Solution Space ◽  
Mechatronic Systems ◽  
Synergy Effects ◽  
Level Of Difficulty ◽  
Institute Of Technology ◽  
High Level ◽  
Karlsruhe Institute

This paper presents a new mechatronics laboratory for students in the 5th semester of the mechatronics degree course at the Karlsruhe Institute of Technology. It is the aim of this teaching event to sharpen the appreciation of synergy effects in the development of mechatronic systems among the students. Despite of the great freedom in the development process, a concept has been evolved, which causes low running costs due to the combination of a model kit with rapid prototyping methods. A first pilot study of the laboratory starting in the winter term 2014 has shown that the students approach the task despite of the high level of difficulty with fun and dedication, especially because of the wide solution space which was unknown for them from previous lectures.

RABBIT-a modular rapid-prototyping platform for distributed mechatronic systems

2002 ◽  
Author(s):  
M.C. Zanella ◽  
M. Robrecht ◽  
A. de Freitas ◽  
F.A. Horst ◽  
T. Lehmann ◽  
...  
Keyword(s):  
Rapid Prototyping ◽  
Mechatronic Systems

State-of-the-Art in Rapid Prototyping for Mechatronic Systems

2000 ◽  
Vol 33 (26) ◽  
pp. 1085-1090
Author(s):  
Manfred Glesner ◽  
Andreas Kirschbaum ◽  
Frank-Michael Renner ◽  
Burkart Voss
Keyword(s):  
Rapid Prototyping ◽  
State Of The Art ◽  
Mechatronic Systems

State-of-the-art in rapid prototyping for mechatronic systems

Mechatronics ◽  
2002 ◽  
Vol 12 (8) ◽  
pp. 987-998 ◽  
Author(s):  
Manfred Glesner ◽  
Andreas Kirschbaum ◽  
Frank-Michael Renner ◽  
Burkart Voss
Keyword(s):  
Rapid Prototyping ◽  
State Of The Art ◽  
Mechatronic Systems

Mechatronic and Transport System Simulation

2015 ◽  
Vol 803 ◽  
pp. 201-206 ◽  
Author(s):  
Frantisek Brumercik ◽  
Eva Brumercikova ◽  
Bibiana Bukova
Keyword(s):  
Discrete Event Simulation ◽  
Transport System ◽  
Efficient Solution ◽  
System Simulation ◽  
Discrete Event ◽  
Mechatronic Systems ◽  
Event Simulation

Transaction-based systems, such as Mathworks SimEvents and Stateflow, are the efficient solution for discrete event simulation in the field of mechatronic systems and transportation. Possible analysis of simulation, which can be done by the change of the attributes, results suggests solutions to address desired issues.

scholarly journals Multifidelity Analysis for Predicting Rare Events in Stochastic Computational Models of Complex Biological Systems

2018 ◽  
Vol 9 ◽  
pp. 117959721879025
Author(s):  
Elsje Pienaar
Keyword(s):  
Computational Models ◽  
Rare Events ◽  
Probability Distributions ◽  
Biological Systems ◽  
Discrete Event ◽  
Rare Event ◽  
Sensitivity Analyses ◽  
High Fidelity ◽  
Event Dynamics ◽  
Fidelity Model

Rare events such as genetic mutations or cell-cell interactions are important contributors to dynamics in complex biological systems, eg, in drug-resistant infections. Computational approaches can help analyze rare events that are difficult to study experimentally. However, analyzing the frequency and dynamics of rare events in computational models can also be challenging due to high computational resource demands, especially for high-fidelity stochastic computational models. To facilitate analysis of rare events in complex biological systems, we present a multifidelity analysis approach that uses medium-fidelity analysis (Monte Carlo simulations) and/or low-fidelity analysis (Markov chain models) to analyze high-fidelity stochastic model results. Medium-fidelity analysis can produce large numbers of possible rare event trajectories for a single high-fidelity model simulation. This allows prediction of both rare event dynamics and probability distributions at much lower frequencies than high-fidelity models. Low-fidelity analysis can calculate probability distributions for rare events over time for any frequency by updating the probabilities of the rare event state space after each discrete event of the high-fidelity model. To validate the approach, we apply multifidelity analysis to a high-fidelity model of tuberculosis disease. We validate the method against high-fidelity model results and illustrate the application of multifidelity analysis in predicting rare event trajectories, performing sensitivity analyses and extrapolating predictions to very low frequencies in complex systems. We believe that our approach will complement ongoing efforts to enable accurate prediction of rare event dynamics in high-fidelity computational models.

Representation of the Operational Behaviour of an Educational Robot at Conceptual Design Using Petri Nets

2010 ◽  
Author(s):  
Zu¨hal Erden
Keyword(s):  
Conceptual Design ◽  
Design Research ◽  
Discrete Event ◽  
Computational Design ◽  
State Transitions ◽  
System Specification ◽  
Mechatronic Systems ◽  
Educational Robot ◽  
Concrete Operational ◽  
Operational Behaviour

Increasing demand for computational support at conceptual design makes behavioural modeling a challenging area for design research. This is mainly because a behavioural model of a nonexistent design artifact at conceptual level is the basis for behavioural simulation and resulting computational design support. Behavioural models are particularly important for top-down design of multidisciplinary products such as mechatronic systems. During the conceptual design of such systems, intended “operational behavior” of the artifact is described without any physical realization. As design stages become more concrete, operational behaviour can be refined so as to represent well defined mathematical descriptions of corresponding physical behaviors. In this study, a model for representing the intended operational behaviour of a nonexistent educational robot, namely a rabbit robot, is presented for conceptual design. The operational behaviour of the robot is defined as composed of states and state transitions independent of any physical embodiment. Discrete Event System Specification (DEVS) and Petri Net formalism are used for the model. This representational model is the first step towards the development of a virtual prototype for the operational behaviour of an educational robot.

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