Modeling and identification of dynamic systems
Modeling and identification of dynamic systems
Kategorier: Elektronik Elektronik och kommunikationsteknik Matematik Matematik och naturvetenskap Matematisk modellering Reglerteknik Teknik, ingenjörsvetenskap etc. Tillämpad matematik
Physical modeling is nowadays typically done by object oriented software, such as Modelica and Matlab’s Simscape. These techniques are described in the book, together with their theoretical and mathematical underlying principles. Domain-independent methods, such as following energy flows in bond graphs gives a useful background for understanding object oriented modeling. Both classical state-space models and general differential algebraic equations (DAE) are treated.
The book also gives a comprehensive treatment of system identification, that is, techniques to estimate mathematical models from measured system inputs and outputs. Both linear and nonlinear models are treated, including artificial neural networks. The text is related to the Swedish text Modellbygge och Simulering, Studentlitteratur, 2003. It also has some roots in the book Modeling of Dynamic Systems, Prentice Hall, 1994.