Name
Abstract | ||
|---|---|---|
Complex systems consist of a large number of entities with their independent local rules and goals, along with their interactions. The effect of these properties tends to produce complex behaviors that are required to be understood in order to analyze and design the systems. However, these behaviors are difficult to be predicted a priori, and can only be studied through simulation. The study presented in this paper proposes a process for developing an integrated dynamic modeling and simulation environment designed for understanding the behavior of the next generation naval ship which is envisioned to be self-sensing, self-assessing and self-reacting. Various models, including power model, fluid model and control model, are developed to investigate the functionalities of the naval ship systems. An object oriented approach is employed to validate the architectural design of the integrated simulation environment and a surrogate modeling technique is utilized to accelerate the simulation speed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WSC.2008.4736194 | Winter Simulation Conference |
Keywords | Field | DocType |
power model,fluid model,integrated simulation environment,complex system,various model,integrated intelligent system,control model,simulation speed,architectural design,complex behavior,simulation environment,simulation,modeling and simulation,intelligent control,mean squared error | Complex system,Intelligent control,Object-oriented programming,Systems engineering,Intelligent decision support system,Modeling and simulation,Computer science,Simulation,A priori and a posteriori,Control engineering,Power model,System dynamics | Conference |
ISBN | Citations | PageRank |
978-1-4244-2708-6 | 1 | 0.63 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongchang Li | 1 | 1 | 1.64 |
| Michael Balchanos | 2 | 6 | 3.17 |
| Bassem Nairouz | 3 | 1 | 0.63 |
| Neil Weston | 4 | 1 | 0.96 |
| Dimitri N. Mavris | 5 | 50 | 14.47 |