Trnka P. Subspace like identification incorporating prior information[J]. Automatica, 2009, 46(4):1046-1091. [2] Mercère G, Bako L, et al. Propagator-based methods for recursive subspace model identification[J]. Signal Processing, 2008, 88(3):468-491. [3] Lovera M, Gustafsson T, Verhaegen M. Recursive subspace identification of linear and non-linear Wiener state-space models[J]. Automatica, 2000, 36(11)：1639-1650. [4] Oku H, Kimura H. Recursive 4SID algorithms using gradient type subspace tracking[J]. Automatica, 2002, 38(6)：1035-1043. [5] 杨华，李少远. 一种新的基于遗忘因子的递推子空间算法[J].控制理论与应用. 2009. Vol. 26, No.1: 69-72. (Yang H, Li S Y. A novel recursive MOESP subspace identification algorithm based on forgetting factor[J]. Control Theory & Applications. 2009. Vol. 26, No.1: 69-72. ) [6] Verhaegen M. Identification of the deterministic part of MIMO state space models given in innovations form from input output data, Automatica, 1994, 30(1): 61–74. [7] Verhaegen M. Subspace model identification Part 3: analysis of the ordinary output error state space model identification algorithm, Internat. J. Control 1993, 58 (3): 555–586. [8] Zhang C, Bitmead R. Subspace system identification for training-based MIMO channel estimation[J]. Automatica, 2005, 41(9): 1623-1632. [9] Yang B. Asymptotic convergence analysis of the projection approximation subspace tracking algorithms[J]. Signal Processing, 1996, 50(1/2):123-136. [10] Gustafsson T. Instrumental variable subspace tracking using projection approximation[J]. IEEE Trans. on signal processing, 1998, 46(33):669-681.
