Modelling and System Identification

This is an exploration of physical modelling and experimental issues that considers identification of structured models such as continuous-time linear systems, multidimensional systems and nonlinear systems. It avoids a narrow focus on time series analysis and gives a broader perspective on modelling, identification and its applications with many examples of physical modelling. There is also strong emphasis on model validation and a pluralistic approach with model evaluation in a stochastic framework, according to approximation notions.