Publisher review:i4c features implementations of stochastic embedding, set membership estimation, and error modeling. It contains the stochastic embedding technique (implemented by Julio H. Braslavsky), the set membership techniques (implemented by Andrea Garulli) and the prediction error methods in the model error modelling setup, suited for version 5 of the Matlab Identification toolbox by Lennart Ljung.
Interface is the transfer function data structure used in Matlab's Control Systems toolbox, which is compatible with the structure in the new Matlab Identification toolbox. Requirements: · MATLAB Release: R12 · Control System Toolbox · LMI Control Toolbox · Optimization Toolbox · Robust Control Toolbox · System Identification Toolbox
i4c is a Matlab script for Controls and Systems Modeling scripts design by Wolfgang Reinelt.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
i4c features implementations of stochastic embedding, set membership estimation, and error modeling.
Operating system:Windows / Linux / Mac OS / BSD / Solaris