Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise

Cites Work

Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
An efficient hierarchical identification method for general dual-rate sampled-data systems
Combined parameter and output estimation of dual-rate systems using an auxiliary model
Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems
Combined state and least squares parameter estimation algorithms for dynamic systems
Trial-and-error or avoiding a guess? Initialization of the Kalman filter
Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation
Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition
Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise
Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory
Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother
Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances
Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
A recursive parameter estimation algorithm for modeling signals with multi-frequencies
Performance analysis of estimation algorithms of nonstationary ARMA processes
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Parameter estimation for block‐oriented nonlinear systems using the key term separation
PARAMETER-VARYING ARTIFICIAL POTENTIAL FIELD CONTROL OF VIRTUAL COUPLING SYSTEM WITH NONLINEAR DYNAMICS
Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory
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
Parameter estimation of dual-rate stochastic systems by using an output error method
Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window
Multidirection Gradient Iterative Algorithm: A Unified Framework for Gradient Iterative and Least Squares Algorithms
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
Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory
Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector
Generalized continuous mixed p‐norm based sliding window algorithm for a bilinear system with impulsive noise
An efficient recursive identification algorithm for multilinear systems based on tensor decomposition
The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems
Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems
Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises
Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea
Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique
Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries
Maximum likelihood hierarchical least squares-based iterative identification for dual-rate stochastic systems
Iterative identification methods for a class of bilinear systems by using the particle filtering technique
Identification and U-control of a state-space system with time-delay
Auxiliary model-based multi-innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable-gain nonlinearity
A novel nonlinear optimization method for fitting a noisy Gaussian activation function
Two-stage gradient-based iterative algorithms for the fractional-order nonlinear systems by using the hierarchical identification principle
Second-order optimization methods for time-delay autoregressive exogenous models: nature gradient descent method and its two modified methods
Maximum likelihood based multi-innovation stochastic gradient identification algorithms for bilinear stochastic systems with ARMA noise
Expectation-maximization algorithm for bilinear state-space models with time-varying delays under non-Gaussian noise
Decomposition and composition modeling algorithms for control systems with colored noises
Filtered multi-innovation-based iterative identification methods for multivariate equation-error ARMA systems
Joint two-stage multi-innovation recursive least squares parameter and fractional-order estimation algorithm for the fractional-order input nonlinear output-error autoregressive model
Parameter estimation of fractional-order Hammerstein state space system based on the extended Kalman filter
Hierarchical iterative identification algorithms for a nonlinear system with dead-zone and saturation nonlinearity based on the auxiliary model
Unbiased recursive least squares identification methods for a class of nonlinear systems with irregularly missing data
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises
Novel parameter estimation method for the systems with colored noises by using the filtering identification idea
Filtered generalized iterative parameter identification for equation-error autoregressive models based on the filtering identification idea
Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems
Discrete time \(q\)-lag maximum likelihood FIR smoothing and iterative recursive algorithm
Hierarchical gradient-based iterative parameter estimation algorithms for a nonlinear feedback system based on the hierarchical identification principle
Adaptive multi-innovation gradient identification algorithms for a controlled autoregressive moving average model