Adaptive parameter estimation for a general dynamical system with unknown states
From MaRDI portal
Publication:4990367
DOI10.1002/rnc.4819zbMath1465.93115OpenAlexW2997748273WikidataQ126457583 ScholiaQ126457583MaRDI QIDQ4990367
Publication date: 28 May 2021
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.4819
Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Related Items (43)
Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory ⋮ A Kalman filter with intermittent observations and reconstruction of data losses ⋮ Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy ⋮ Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window ⋮ Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator ⋮ Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle ⋮ Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems ⋮ Filtering‐based multi‐innovation recursive identification methods for input nonlinear systems with piecewise‐linear nonlinearity based on the optimization criterion ⋮ Instrumental variable‐based multi‐innovation gradient estimation for nonlinear systems with scarce measurements ⋮ State and parameter joint estimation of linear stochastic systems in presence of faults and <scp>non‐Gaussian</scp> noises ⋮ Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling ⋮ Variational Bayesian identification for bilinear state space models with Markov‐switching time delays ⋮ Two‐stage recursive identification algorithms for a class of nonlinear time series models with colored noise ⋮ 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‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle ⋮ Multi‐innovation Newton recursive methods for solving the support vector machine regression problems ⋮ Identification of the nonlinear systems based on the kernel functions ⋮ 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 ⋮ Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise ⋮ Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector ⋮ Augmented flexible least squares algorithm for time‐varying parameter systems ⋮ A novel dynamic nonlinear partial least squares based on the cascade structure ⋮ Generalized continuous mixed p‐norm based sliding window algorithm for a bilinear system with impulsive noise ⋮ Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems ⋮ An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems ⋮ Recursive identification of errors-in-variables systems based on the correlation analysis ⋮ Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm ⋮ Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements ⋮ Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises ⋮ Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries ⋮ Multi-innovation stochastic gradient parameter and state estimation algorithm for dual-rate state-space systems with \(d\)-step time delay ⋮ An finite iterative algorithm for sloving periodic Sylvester bimatrix equations ⋮ Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window ⋮ Some stochastic gradient algorithms for Hammerstein systems with piecewise linearity ⋮ Observer design for estimation of nonobservable states in buildings ⋮ Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics ⋮ \(\mathscr{H}_-\) index for Itô stochastic systems with Poisson jump ⋮ 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 ⋮ Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems ⋮ Data filtering-based parameter and state estimation algorithms for state-space systems disturbed by coloured noises ⋮ Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique
This page was built for publication: Adaptive parameter estimation for a general dynamical system with unknown states