For large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. Mechanism simplification is often a necessity to improve computational speed. We present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using geneti...

We describe a computational architecture for meeting a diverse range of robot modeling needs encompassing analysis, simulation and embedded modeling for robotic systems. The architecture builds upon the spatial operator algebra theoretical framework for computational dynamics. It allows applications to meet the broad range of computational modeling needs coherently and with fast, structure-base...