Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling

Cites Work

The expected discounted penalty function under a renewal risk model with stochastic income
Parameter estimation algorithms for Hammerstein output error systems using Levenberg-Marquardt optimization method with varying interval measurements
Data-driven predictive control of Hammerstein-Wiener systems based on subspace identification
An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
On spectrally positive Lévy risk processes with Parisian implementation delays in dividend payments
Recursive parameter identification of the dynamical models for bilinear state space systems
A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data
Spectrally negative Lévy risk model under Erlangized barrier strategy
State space model identification of multirate processes with time-delay using the expectation maximization
Moving horizon estimation for multirate systems with time-varying time-delays
Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory
A numerical solution of a class of periodic coupled matrix equations
Piecewise reproducing kernel-based symmetric collocation approach for linear stationary singularly perturbed problems
Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
A recursive parameter estimation algorithm for modeling signals with multi-frequencies
An finite iterative algorithm for sloving periodic Sylvester bimatrix equations
Reproducing kernel function-based Filon and Levin methods for solving highly oscillatory integral
Fully parametric identification for continuous time fractional order Hammerstein systems
Nonlinear system identification using fractional Hammerstein-Wiener models
Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise
A multi-innovation recursive least squares algorithm with a forgetting factor for Hammerstein CAR systems with backlash
Optimal periodic dividend and capital injection problem for spectrally positive Lévy processes
An extension of Paulsen-Gjessing's risk model with stochastic return on investments
Gradient-based iterative identification for Wiener nonlinear systems with non-uniform sampling
A new filter‐based stochastic gradient algorithm for dual‐rate ARX models
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Adaptive parameter estimation for a general dynamical system with unknown states
Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation
Parameter estimation for block‐oriented nonlinear systems using the key term separation
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
Hierarchical parameter and state estimation for bilinear systems
Bayesian approach to identify Hammerstein–Wiener non‐linear model in presence of noise and disturbance
Highly computationally efficient state filter based on the delta operator
State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle
Recursive identification of hammerstein systems with discontinuous nonlinearities containing dead-zones
Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises
Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems

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