Parametric and nonparametric adaptive identification of nonlinear structural systems

Adaptive estimation procedures have gained significant attention by the research community to perform real-time identification of nonlinear hysteretic structural systems under arbitrary dynamic excitations. The 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 neural network based identification procedure is introduced. Both simulation and experimental results of the performance of the parametric and nonparametric methods are presented