An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
Automatica (Journal of IFAC)
Rounding error analysis of two-stage iterative methods for large linear systems
Applied Mathematics and Computation
Performance analysis of multi-innovation gradient type identification methods
Automatica (Journal of IFAC)
Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling
SIAM Journal on Control and Optimization
Computers & Mathematics with Applications
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
Computers & Mathematics with Applications
Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
Automatica (Journal of IFAC)
Identification for multirate multi-input systems using the multi-innovation identification theory
Computers & Mathematics with Applications
Multi-innovation stochastic gradient algorithms for multi-input multi-output systems
Digital Signal Processing
Gradient based iterative solutions for general linear matrix equations
Computers & Mathematics with Applications
The residual based interactive least squares algorithms and simulation studies
Computers & Mathematics with Applications
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
Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
Computers & Mathematics with Applications
Iterative solutions to matrix equations of the form AiXBi=Fi
Computers & Mathematics with Applications
Matrix equations over (R,S)-symmetric and (R,S)-skew symmetric matrices
Computers & Mathematics with Applications
Digital Signal Processing
Input--output data filtering based recursive least squares identification for CARARMA systems
Digital Signal Processing
Several multi-innovation identification methods
Digital Signal Processing
Multiinnovation least-squares identification for system modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Gradient-based iterative parameter estimation for Box-Jenkins systems
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Identification methods for Hammerstein nonlinear systems
Digital Signal Processing
Parameter estimation with scarce measurements
Automatica (Journal of IFAC)
Computers & Mathematics with Applications
Performance analysis of estimation algorithms of nonstationary ARMA processes
IEEE Transactions on Signal Processing
Parameter Identification and Intersample Output Estimation for Dual-Rate Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Combined parameter and output estimation of dual-rate systems using an auxiliary model
Automatica (Journal of IFAC)
A two-stage algorithm for identification of nonlinear dynamic systems
Automatica (Journal of IFAC)
Hierarchical gradient-based identification of multivariable discrete-time systems
Automatica (Journal of IFAC)
Mathematical and Computer Modelling: An International Journal
Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
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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A two-stage least squares based iterative (two-stage LSI) identification algorithm is derived for controlled autoregressive moving average (CARMA) systems. The basic idea is to decompose a CARMA system into two subsystems and to identify each subsystem, respectively. Because the dimensions of the involved covariance matrices in each subsystem become small, the proposed algorithm has a high computational efficiency. The simulation results indicate that the proposed algorithm is effective.