STABILITY AND BIFURCATION-ANALYSIS OF SYSTEMS DESCRIBED BY NONEXACT MODELS

In this paper, we propose a procedure to perform stability and bifurca tion analysis in case of model and parameters uncertainty. Monte Carlo methods are used to compute the sensitivity of the Hopf bifurcation l ocus and to detect the most probable stability regions. In this way, i t is possible to quantify the effects of uncertainty on the prediction s without a great amount of calculations. Advantages, in case of model s describing real processes and systems, are in terms of reliability, good design, and safety.