Parametric and nonparametric adaptive identification of nonlinear structural systems

Adaptive estimation procedures have recently gained significant attention by the research community to perform real-time identification of nonlinear hysteretic structural systems under arbitrary dynamic excitations. This paper presents an overview of some of the authors' previous work in this area, and also discusses some of the new issues being tackled with regard to this class of problems. The trade-offs between parametric based modeling and nonparametric modeling of nonlinear hysteretic dynamic system behavior are discussed. A new neural network based identification procedure is introduced. Both simulation and experimental results of the performance of the parametric and nonparametric methods are presented.