H∞ design of general multirate sampled-data control systems
Automatica (Journal of IFAC)
Optimal Sampled-Data Control Systems
Optimal Sampled-Data Control Systems
Performance analysis of multi-innovation gradient type identification methods
Automatica (Journal of IFAC)
2-norm-based iterative design of filterbank transceivers: a control perspective
Journal of Control Science and Engineering
The residual based extended least squares identification method for dual-rate systems
Computers & Mathematics with Applications
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
Computers & Mathematics with Applications
Multi-innovation stochastic gradient algorithms for multi-input multi-output systems
Digital Signal Processing
Combined parameter and output estimation of dual-rate systems using an auxiliary model
Automatica (Journal of IFAC)
Brief paper: Least squares based iterative identification for a class of multirate systems
Automatica (Journal of IFAC)
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
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
Computers & Mathematics with Applications
Identification methods for Hammerstein nonlinear systems
Digital Signal Processing
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
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
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This paper considers identification problems of multirate multi-input sampled-data systems. Using the continuous-time system discretization technique with zero-order holds, the mapping relationship (state-space model) between available multirate input and output data is set up. The multi-innovation identification theory is applied to estimate the parameters of the obtained multirate models and to present a multi-innovation stochastic gradient algorithm for the multirate systems from the multirate input-output data. Furthermore, the convergence properties of the proposed algorithm are analyzed. An illustrative example is given.