Performance analysis of multi-innovation gradient type identification methods
Automatica (Journal of IFAC)
Brief paper: Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
Automatica (Journal of IFAC)
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)
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
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
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
Identification methods for Hammerstein nonlinear systems
Digital Signal Processing
Parameter Identification and Intersample Output Estimation for Dual-Rate Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Brief Analysis of dual-rate inferential control systems
Automatica (Journal of IFAC)
Subspace identification for FDI in systems with non-uniformly sampled multirate data
Automatica (Journal of IFAC)
Auxiliary model identification method for multirate multi-input systems based on least squares
Mathematical and Computer Modelling: An International Journal
Bayesian Monte Carlo estimation for profile hidden Markov models
Mathematical and Computer Modelling: An International Journal
An approach for identification of uncertain Wiener systems
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
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Computers & Mathematics with Applications
Observable state space realizations for multivariable systems
Computers & Mathematics with Applications
| Hi-index | 0.98 |
By using an estimated noise transfer function to filter the input-output data, two identification models are obtained for the non-uniformly sampled Box-Jenkins system, one containing the parameters of the system model, and the other containing the parameters of the noise model. Then apply the recursive least squares method to identify the parameters of these two models, respectively, by replacing the unmeasurable terms in the information vectors with their estimates. Thus a filtering based recursive least squares algorithm is finally derived. The given illustrative example indicates that the proposed algorithm can generate more accurate parameter estimates compared with the auxiliary model based recursive generalized extended least squares algorithm.