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
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)
On the asymptotic behavior and periodic nature of a difference equation with maximum
Computers & Mathematics with Applications
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
Iterative solutions to matrix equations of the form AiXBi=Fi
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
Multiinnovation least-squares identification for system modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Well-posedness of parabolic differential and difference equations
Computers & Mathematics with Applications
Gradient-based iterative parameter estimation for Box-Jenkins systems
Computers & Mathematics with Applications
Computers & Mathematics with Applications
System identification of nonlinear state-space models
Automatica (Journal of IFAC)
Computers & Mathematics with Applications
Identification methods for Hammerstein nonlinear systems
Digital Signal Processing
A steady-state lattice Boltzmann model for incompressible flows
Computers & Mathematics with Applications
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
Hierarchical gradient-based identification of multivariable discrete-time systems
Automatica (Journal of IFAC)
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Computing matrix functions using mixed interpolation methods
Mathematical and Computer Modelling: An International Journal
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This paper derives two canonical state space forms (i.e., the observer canonical form and the observability canonical form) from multiple-input multiple-output systems described by difference equations. The state space model is expressed by the first-order difference equation and is equivalent to the input-output representation. More specifically, by setting the different state variables, the difference equations or the input-output representations can be transformed into two observable canonical forms and the canonical state space model can be also transformed into the difference equations. Finally, two examples are given.