Statistical Analysis of Dead-time System using a Deterministic Equivalent Modeling Method

To increase precision and reliability of automatic control systems, random factors affecting the controlsystem have to be taken into account. In this article, the deterministic equivalent modelling method (DEMM) is used for statistical analysis of time delay systems with random parameters. The proposed method is compared with several existing methods such as the Monte Carlo, Latin-Hypercube, and Quasi Monte Carlo method, to demonstrate its validity and effectiveness. The result shows that the proposed DEMM-based approach drastically reduces computational time with a desired accuracy over traditional methods.