Block Oriented Nonlinear System Identification

摘要: Block-oriented Nonlinear Models.- to Systems.- System Modelling and Analysis from the Volterra Wiener Perspective.- Iterative Overparameterization Methods.- An Optimal Two-stage Identification Algorithm for Hammerstein-Wiener Compound Operator Decomposition Its Application Hammerstein of Stochastic Recursive Using Maximum Likelihood Method.- Parametric Versus Nonparametric Approach Systems Identification.- Systems: Semiparametric Inference.- Invariance Property.- Frequency Domain Wiener-Hammerstein Best Linear Approximation.- SVM, Subspace Separable Least-squares.- Operating in Closed-loop.- NARX Least-Squares Support Vector Machines.- with Hard Input Nonlinearities Known Structure.- Blind Maximum-likelihood Block Structures.- A Model Decoupling Inputs Bounded Error Parts Presence Memory Nonlinearities.- Backlash.- Structured Study Stretch Reflex.- Paralysed Muscle Under Electrical Stimulation.