Abstract:

The complexity of modern embedded systems often requires the use of simulations for systematic design, analysis, and verification tasks. The nonlinear and hybrid nature of these systems make the building of accurate and computationally efficient simulation models very challenging. In this work, we adopt the Hybrid Bond Graph (HBG) paradigm, a uniform, multi-domain physics-based modeling language with local switching functions that enable the reconfiguration of energy flow paths to model hybrid systems. The inherent causal structure in HBG models is exploited to derive efficient hybrid simulation models as reconfigurable block diagram structures. We demonstrate our approach by modeling and analyzing the behavior of an electrical power system.

Download: DaigleEtAl-EfficientSimulationHBGs.pdf