Multivariable Subspace Identification: MOESP
A tool for subspace identification using the MOESP algorithm.
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This is a small but powerful tool for multivariable subspace identification. It implements the so called Multivariable Output Error State Space algorithm.
The identification is carried out in two steps by using the nested function technique. The main function returns a score vector for the subspace obtained from the input and output data. From the score vector, users can easily determine an appropriate order for the model to be identified. Then, by calling the function handle, also returned by the main function, with the determined order, the state space matrices are obtained.
An example is included to show how to use this tool.
Cite As
Yi Cao (2026). Multivariable Subspace Identification: MOESP (https://www.mathworks.com/matlabcentral/fileexchange/19728-multivariable-subspace-identification-moesp), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Subspace Identification for Linear Systems
Inspired: Moesp using input and output Data, Worked Example of Multivariable Subspace Identification: MOESP, Stochastic Subspace Realization, moesp(y,u,d)
General Information
- Version 1.1.0.0 (2.93 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
