Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models
DOI10.1049/IET-CTA.2020.0104zbMATH Open1542.9338MaRDI QIDQ6608960
Quanmin Zhu, Hassan Nouri, Ya Gu
Publication date: 20 September 2024
Published in: IET Control Theory \& Applications (Search for Journal in Brave)
linear systemsparameter estimationstate estimationobserversnonlinear control systemsdelaysstate variablesleast-squares algorithmbias correctionestimation biasbias compensationleast squares approximationsstate-space systemsstate-space methodsinput-output structuretime-delay nonlinear systemsintegrated parameterstate estimation algorithmcanonical observable state-space modelestimator propertiesfeasible identification modelstate-space system modeltime-delay nonlinear state-space models
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Canonical structure (93B10) Realizations from input-output data (93B15) Delay control/observation systems (93C43)
Cites Work
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- Unknown input functional observability of descriptor systems with neutral and distributed delay effects
- Joint state and parameter estimation of non-linearly parameterized discrete-time nonlinear systems
- State space model identification of multirate processes with time-delay using the expectation maximization
- Robust sensitive fault detection and estimation for single-rate and multirate nonlinear sampled-data systems
- Moving horizon estimation for multirate systems with time-varying time-delays
- Deadbeat unknown-input state estimation and input reconstruction for linear discrete-time systems
- Observation and stabilization of LTV systems with time-varying measurement delay
- Variational Bayesian approach for ARX systems with missing observations and varying time-delays
- Combined state and least squares parameter estimation algorithms for dynamic systems
- Solutions to Rayleigh-Love equation with constant coefficients and delay forcing term
- A generalized free-matrix-based integral inequality for stability analysis of time-varying delay systems
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
- A Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares Problems
- Parameter estimation for block‐oriented nonlinear systems using the key term separation
- Hierarchical parameter and state estimation for bilinear systems
- The innovation algorithms for multivariable state‐space models
- Moving Horizon Estimation for Networked Time-Delay Systems Under Round-Robin Protocol
- State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
- Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects
This page was built for publication: Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6608960)