Subspace state-space system identification for periodically non-uniformly sampled systems

This paper addresses subspace identification for state-space models of non-uniformly sampled systems. By employing the lifting technique, the non-uniformly sampled input and output are lifted, and a state-space model is derived to represent non-uniform discrete-time systems, a novel subspace identification method is proposed to deal with the casuality constraints in the lifted model. Simulation confirms that the algorithm is effective.