An algorithm for weak covariance controllability: MATLAB Code
Published: 25 August 2020| Version 2 | DOI: 10.17632/gpkbndny9y.2
Contributor:
Amir ShakouriDescription
This algorithm is associated with the paper entitled "A class of nonlinear observers with controllable covariance" by Shakouri et al. that is currently under review. This algorithm comprises a number of recursive steps to construct a controllability matrix $R_k$ for the covariance elements as well as state variables of an LTI system with a linear measurement model when the proposed state-dependent Luenberger-like observer is used.
Files
Institutions
Sharif University of Technology
Categories
Controllability, Covariance Matrix Estimation