Publisher review:PIL - Parameter Identification Library This Simulink library is a collection of blocks that perform Parameter Identification through the most rewarded frequency and time domain linear regression methods. It works in Matlab 5.3.1 as well as in later versions. Main examples are:
- Recursive Least Squares (RLS).
- Simple Windowed Regression (LLS).
- Local Weighted Regression (LWR).
- Fourier Transform Regression (FTR).
Two example on Linear and Nonlinear Aircraft Parameter Identification are included in the library.IMPORTANT, all of these blocks REQUIRE SMXL (the Simulink Matrix Library) freely available in the File exchange section of the MATLAB Central website. Requirements: ยท MATLAB Release: R11.1
PIL is a Matlab script for Controls and Systems Modeling scripts design by Giampiero Campa.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
PIL - Parameter Identification Library
Operating system:Windows / Linux / Mac OS / BSD / Solaris
PIL script details 
