System Identification An Introduction

System Identification Shows The Student Reader How To Approach The System Identification Problem In A Systematic Fashion. The Process Is Divided Into Three Basic Steps: Experimental Design And Data Collection; Model Structure Selection And Parameter Estimation; And Model Validation, Each Of Which Is The Subject Of One Or More Parts Of The Text. Following An Introduction On System Theory, Particularly In Relation To Model Representation And Model Properties, The Book Contains Four Parts Covering: Data-based Identification - Non-parametric Methods For Use When Prior System Knowledge Is Very; Time-invariant Identification For Systems With Constant Parameters; Time-varying Systems Identification, Primarily With Recursive Estimation Techniques; And Model Validation Methods.a Fifth Part, Composed Of Appendices, Covers The Various Aspects Of The Underlying Mathematics Needed To Begin Using The Text.the Book Uses Essentially Semi-physical Or Gray-box Modeling Methods Although Data-based, Transfer-function System Descriptions Are Also Introduced.