Pages that link to "Item:Q4990367"

The following pages link to Adaptive parameter estimation for a general dynamical system with unknown states (Q4990367):

Displaying 50 items.

• Adaptive state estimation for a class of nonlinear stochastic systems under generalized Lipschitz condition (Q481319) (← links)
• Adaptive parameter identification in dynamical and static systems (Q647771) (← links)
• Adaptively locating unknown steady states: formalism and basin of attraction (Q691887) (← links)
• Adaptive design for estimation of unknown parameters in linear systems (Q1582944) (← links)
• Observer design for estimation of nonobservable states in buildings (Q2004114) (← links)
• Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics (Q2068227) (← links)
• \(\mathscr{H}_-\) index for Itô stochastic systems with Poisson jump (Q2068234) (← links)
• Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (Q2071236) (← 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)
• A Kalman filter with intermittent observations and reconstruction of data losses (Q2162138) (← 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)
• Some stochastic gradient algorithms for Hammerstein systems with piecewise linearity (Q2697720) (← links)
• Almost invariant manifold approach for adaptive estimation of periodic and aperiodic unknown time-varying parameters (Q2828582) (← links)
• (Q3198950) (← links)
• Robust adaptive algorithm for nonlinear systems with unknown measurement noise and uncertain parameters by variational Bayesian inference (Q4583659) (← 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)
• Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique (Q5028709) (← links)
• Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy (Q6040445) (← links)
• Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window (Q6042570) (← links)
• Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator (Q6049911) (← links)
• Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle (Q6053671) (← 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)
• Instrumental variable‐based multi‐innovation gradient estimation for nonlinear systems with scarce measurements (Q6054508) (← links)
• State and parameter joint estimation of linear stochastic systems in presence of faults and <scp>non‐Gaussian</scp> noises (Q6054888) (← links)
• Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling (Q6060476) (← links)
• Variational Bayesian identification for bilinear state space models with Markov‐switching time delays (Q6061263) (← links)
• Two‐stage recursive identification algorithms for a class of nonlinear time series models with colored noise (Q6061284) (← links)
• Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity (Q6068317) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← 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)
• Multi‐innovation Newton recursive methods for solving the support vector machine regression problems (Q6071503) (← links)
• Identification of the nonlinear systems based on the kernel functions (Q6071550) (← links)
• Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor (Q6078822) (← 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)
• Augmented flexible least squares algorithm for time‐varying parameter systems (Q6085141) (← 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)
• Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems (Q6109472) (← links)
• An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems (Q6117622) (← links)
• Recursive identification of errors-in-variables systems based on the correlation analysis (Q6135540) (← links)
• Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm (Q6154590) (← links)
• Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements (Q6168998) (← links)
• Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises (Q6183845) (← links)
• Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries (Q6197896) (← links)