A multimodel methodology for qualitative model engineering
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Combined continuous/discrete simulation: applications, techniques and tools
WSC '86 Proceedings of the 18th conference on Winter simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Supply chain simulation with discrete-continuous combined modeling
Computers and Industrial Engineering - Supply chain management
SHIFT and SMART-AHS: a language for hybrid system engineering modeling and simulation
DSL'97 Proceedings of the Conference on Domain-Specific Languages on Conference on Domain-Specific Languages (DSL), 1997
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Hybrid algorithm for discrete event simulation based supply chain optimization
Expert Systems with Applications: An International Journal
Advances in Engineering Software
Hybrid simulation models - When, Why, How?
Expert Systems with Applications: An International Journal
Evaluation of carsharing network's growth strategies through discrete event simulation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Development and applications of a simulation model for vessels in the Singapore Straits
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
When designing or acquiring underwater vehicles such as submarines and torpedoes, it is necessary to predict their performance precisely and perform tests repeatedly using modeling and simulation at both the engineering level and the tactical engagement level. For simulation performed for analysis purposes at the engineering level, which requires a considerable amount of computation power, a discrete-time system simulation that computes significant values at every single unit time using the established mathematical model or engineering model is mainly employed. To simulate a complex or complicated task such as a traffic analysis or tactical measure of effectiveness (MOE) analysis at the engagement level, it is appropriate to use a discrete-event system simulation that causes transition between model states through the triggering of events on the basis of the passing of messages between simplified mathematical models coupled in various ways. In this paper, we studied a maneuvering control of underwater vehicle from the perspective of a combined discrete-event and discrete-time system simulation; the simulation model is established on the basis of discrete-event system specification (DEVS) formalism, which is a representative modeling formalism of a discrete-event system simulation. In detail, the simulation includes DEVS modeling implementations of simulation execution time control and discrete-time step size control in real time at the time of performing a discrete-time system simulation for the purpose of three-dimensional visualization or carrying out a performance analysis using the DEVS model. This hybrid approach makes possible to build a simulation-based expert system which supports the decision making for the acquisition of an underwater vehicle.