This paper reviews the theoretical principles of subspace system identification as applied to the problem of estimating black-box state-space models of support-excited structures (e.g., structures exposed to earthquakes). The work distinguishes itself from past studies by providing readers with a powerful geometric interpretation of subspace operations that relates directly to theoretical struc...

The paper extends the subspace identification method to estimate state-space models from frequency response function (FRF) samples, proposed by [113] for mixed causal/anti-causal systems, and shows that other frequency domain subspace algorithms can be extended similarly. The method is demonstrated by simulation experiments. keywords: frequency domain identification, subspace method, descriptor...

The paper describes the use of subspace based identification methods for auto tuning of a state space control system. The plant is an unstable but self balancing transport robot. Because of the unstable character of the process it has to be identified from closed loop input-output data. Based on the identified model a state space controller combined with an observer is calculated. The subspace ...

Abstract: The aim of this paper is to develop a subspace method for state-space identification of continuous-time systems using fractional commensurate models. As compared to the classical state-space representation, the commensurate differentiation order must be estimated besides the state-space matrices. The latter are estimated with conventional subspace-based techniques using QR and singula...

Jin Wang and S. Joe Qin Based on projection techniques in Euclidean space, subspace identification methods (SIMs) have been one of the main streams of research in system identification (Gevers, 2003). Several representative algorithms have been published, including canonical variate analysis (CVA, Larimore, 1983; 1990), numerical algorithm of subspace state space system identification (N4SID, V...