H∞ design of general multirate sampled-data control systems
Automatica (Journal of IFAC)
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
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)
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
Least-squares based iterative parameter estimation for two-input multirate sampled-data systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
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)
Gradient-based iterative parameter estimation for Box-Jenkins systems
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
Mathematics and Computers in Simulation
Mathematical and Computer Modelling: An International Journal
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
Hi-index | 22.15 |
This paper studies modeling and identification problems for multi-input multirate systems with colored noises. The state-space models are derived for the systems with different input updating periods and furthermore the corresponding transfer functions are obtained. To solve the difficulty of identification models with unmeasurable noises terms, the least squares based iterative algorithm is presented by replacing the unmeasurable variables with their iterative estimates. Finally, the simulation results indicate that the proposed iterative algorithm has advantages over the recursive algorithms.