Iterative identification methods for a class of bilinear systems by using the particle filtering technique

Related Items (1)

Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy

Cites Work

Parameter estimation with scarce measurements
Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter
The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory
A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
Recursive parameter estimation algorithm for multivariate output-error systems
Reachable set estimation for discrete-time bilinear systems with time-varying delays
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
Note on a solution form to the cyclic bilinear system of difference equations
Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
Parameter estimation of Wiener systems based on the particle swarm iteration and gradient search principle
A recursive parameter estimation algorithm for modeling signals with multi-frequencies
Auxiliary model method for transfer function estimation from noisy input and output data
Iterative parameter estimation for signal models based on measured data
Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise
Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling
Particle filtering based parameter estimation for systems with output-error type model structures
A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Dynamic Self-Triggered Controller Codesign for Markov Jump Systems
Adaptive parameter estimation for a general dynamical system with unknown states
Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
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
A particle filter via constrained sampling for nonlinear dynamic systems
Robust economic model predictive control of nonlinear networked control systems with communication delays
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
Hierarchical parameter and state estimation for bilinear systems
The innovation algorithms for multivariable state‐space models
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
Interval Error Correction Auxiliary Model Based Gradient Iterative Algorithms for Multirate ARX Models
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
Identification of switched autoregressive exogenous systems from large noisy datasets
Iterative parameter and order identification for fractional-order nonlinear finite impulse response systems using the key term separation

This page was built for publication: Iterative identification methods for a class of bilinear systems by using the particle filtering technique