Pages that link to "Item:Q5026681"

The following pages link to Hierarchical parameter and state estimation for bilinear systems (Q5026681):

Displaying 50 items.

• Reprint of ``A bilinear differential forms approach to parametric structured state-space modelling'' (Q305632) (← links)
• 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 (Q776143) (← links)
• Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise (Q776148) (← links)
• Parameter identification of ARX models based on modified momentum gradient descent algorithm (Q781781) (← links)
• Bias correction-based recursive estimation for dual-rate output-error systems with sampling noise (Q831574) (← links)
• Combined state and parameter estimation for a bilinear state space system with moving average noise (Q1661792) (← links)
• Recursive parameter identification of the dynamical models for bilinear state space systems (Q1687334) (← links)
• Filtering and identification of a state space model with linear and bilinear interactions between the states (Q1690834) (← links)
• Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation (Q2030993) (← links)
• Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics (Q2068227) (← links)
• Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (Q2087500) (← links)
• Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory (Q2125313) (← links)
• Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother (Q2151878) (← links)
• A recursive parameter estimation algorithm for modeling signals with multi-frequencies (Q2193644) (← links)
• Multi-innovation stochastic gradient parameter and state estimation algorithm for dual-rate state-space systems with \(d\)-step time delay (Q2205280) (← links)
• An finite iterative algorithm for sloving periodic Sylvester bimatrix equations (Q2205473) (← links)
• Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window (Q2205494) (← links)
• Recursive identification of bilinear time-delay systems through the redundant rule (Q2291091) (← links)
• Optimal bilinear observers for bilinear state-space models by interaction matrices (Q2797625) (← links)
• Hierarchical identification of lifted state-space models for general dual-rate systems (Q4590455) (← links)
• Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise (Q5000698) (← links)
• Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems (Q5003429) (← links)
• Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems (Q5026619) (← links)
• Data filtering-based parameter and state estimation algorithms for state-space systems disturbed by coloured noises (Q5026778) (← links)
• Weighted hierarchical stochastic gradient identification algorithms for ARX models (Q5027992) (← links)
• Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique (Q5028709) (← links)
• A robust meta-heuristic adaptive Bi-CGSTAB algorithm to online estimation of a three DoF state–space model in the presence of disturbance and uncertainty (Q5867067) (← links)
• Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window (Q6042570) (← links)
• Parameter and state estimation of nonlinear fractional-order model using Luenberger observer (Q6045793) (← links)
• Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator (Q6049911) (← links)
• Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems (Q6053700) (← links)
• Filtering‐based multi‐innovation recursive identification methods for input nonlinear systems with piecewise‐linear nonlinearity based on the optimization criterion (Q6053746) (← links)
• Variational Bayesian identification for bilinear state space models with Markov‐switching time delays (Q6061263) (← links)
• Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity (Q6068317) (← links)
• Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle (Q6069288) (← links)
• The modified extended Kalman filter based recursive estimation for Wiener nonlinear systems with process noise and measurement noise (Q6073603) (← links)
• Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises (Q6078915) (← links)
• Identification of dual‐rate sampled errors‐in‐variables systems with time delays (Q6081006) (← links)
• Data filtering‐based parameter estimation algorithms for a class of nonlinear systems with colored noises (Q6081010) (← links)
• Joint estimation of state, parameter, and unknown input for nonlinear systems: A composite estimation scheme (Q6082388) (← links)
• Identification of an ARX model with impulse noise using a variable step size information gradient algorithm based on the kurtosis and minimum Renyi error entropy (Q6082676) (← links)
• Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise (Q6082737) (← links)
• Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector (Q6085140) (← links)
• A novel dynamic nonlinear partial least squares based on the cascade structure (Q6085143) (← links)
• Generalized continuous mixed <i>p</i>‐norm based sliding window algorithm for a bilinear system with impulsive noise (Q6090194) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Separable synthesis gradient estimation methods and convergence analysis for multivariable systems (Q6099494) (← links)
• The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises (Q6099840) (← links)
• Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems (Q6109472) (← links)
• Recursive identification of errors-in-variables systems based on the correlation analysis (Q6135540) (← links)