A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction.

KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.