Abstract.
The paper presents some change detection techniques for dynamical systems, in both time and frequency domain. Some performance evaluation results of these schemes by multiple simulation are also embodied. A practical application concerning change detection of a structure subject to strong seismic motion is included. The proposed approach combines high-order ARX model identification with some statistical tests in frequency domain, known for their robustness with respect to system undermodeling and variations in experimental conditions.