Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems
Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Subspace algorithms for the identification of multivarible dynamic errors-in-variables models
Automatica (Journal of IFAC)
Performance analysis of multi-innovation gradient type identification methods
Automatica (Journal of IFAC)
Convergence and steady-state analysis of the normalized least mean fourth algorithm
Digital Signal Processing
Digital Signal Processing
Brief paper: Recursive estimation of the parameters of linear multivariable systems
Automatica (Journal of IFAC)
Hierarchical gradient-based identification of multivariable discrete-time systems
Automatica (Journal of IFAC)
Identification for multirate multi-input systems using the multi-innovation identification theory
Computers & Mathematics with Applications
Brief paper: Least squares based iterative identification for a class of multirate systems
Automatica (Journal of IFAC)
Gradient based and least-squares based iterative identification methods for OE and OEMA systems
Digital Signal Processing
Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
Computers & Mathematics with Applications
Transformations between some special matrices
Computers & Mathematics with Applications
Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
Computers & Mathematics with Applications
Input--output data filtering based recursive least squares identification for CARARMA systems
Digital Signal Processing
Several multi-innovation identification methods
Digital Signal Processing
Gradient-based iterative parameter estimation for Box-Jenkins systems
Computers & Mathematics with Applications
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Identification methods for Hammerstein nonlinear systems
Digital Signal Processing
Parameter estimation with scarce measurements
Automatica (Journal of IFAC)
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Mathematics and Computers in Simulation
Auxiliary model identification method for multirate multi-input systems based on least squares
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
Mathematical and Computer Modelling: An International Journal
Identification for the second-order systems based on the step response
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Time series AR modeling with missing observations based on the polynomial transformation
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Parameter estimation for nonlinear dynamical adjustment models
Mathematical and Computer Modelling: An International Journal
Information Sciences: an International Journal
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This paper develops a multi-innovation stochastic gradient (MISG) algorithm for multi-input multi-output systems by expanding the innovation vector to an innovation matrix. The convergence analysis shows that the parameter estimates by the MISG algorithm consistently converge to the true parameters under the persistent excitation condition. The MISG algorithm uses not only the current innovation but also the past innovation at each iteration and repeatedly utilizes the available input-output data, thus the parameter estimation accuracy can be improved. The simulation example confirms the theoretical results.