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MBSE with/out Simulation: State of the Art and Way Forward with Dr. Bernard Zeigler
The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models, as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments.
M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This talk will consider the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, will be examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such system
RTSync received the following Phase I and Phase II SBIR STTR awards from Missile Defense Agency (MDA) and AFWERX in 2022
- MDA SBIR 2nd Phase II Model Level Integrated Simulation Architecture for Collaborative Development (CAMLI)
- MDA STTR Phase II Discrete Event System Specification (DEVS)-based virtual as is simulation test platform (DVAST)
- AFWERX SBIR Phase II Simulation Based Predictive Analytics (SimPA) for Enhanced Autonomy and Artificial Intelligence Collaboration (AAIC)
- MDA STTR Phase I DEVS-NN: Efficient Development of Data Driven Models through Hybrid DEVS/SES/Neural Network Methodology
Simulation Society presents Bernard P. Zeigler with 2015 Lifetime Professional Achievement Award
Simulation Society presents Bernard P. Zeigler with 2015 Lifetime Professional Achievement Award
The Lifetime Professional Achievement Award is the highest honor given by the Institute for Operations Research and the Management Sciences’ Simulation Society. The purpose of the award is to recognize major contributions to the field of simulation that are sustained over most of a professional career, with the critical consideration being the total impact of those contributions on computer simulation.