Reduced Simulation Strategy – Multiple Model Applicability

Abstract

The main ideea of the paper is to reduce the hardware and software effort required for a simulation process using an identified model. Since the results are consistent, based on the observations of the data related relationship to the minimum necessary is proposed for a simulation that leads to a neglectable error. This relationship is used in the case study made on a multiple model control type architecture that aims to switch smooth control algorithms. The proposed system is implemented and tested in real-time software for a nonlinear plant laboratory.

Keywords

• simulation
• discrete model
• calculus effort
• algorithms switching