Hierarchical gradient-based iterative parameter estimation algorithms for a nonlinear feedback system based on the hierarchical identification principle
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Publication:6652739
DOI10.1007/S00034-023-02477-1MaRDI QIDQ6652739
Erfu Yang, Yan-Jun Liu, Feng Ding, Dan Yang
Publication date: 13 December 2024
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
parameter estimationiterative identificationhierarchical identificationgradient searchnonlinear feedback system
Feedback control (93B52) System identification (93B30) Nonlinear systems in control theory (93C10) Stochastic systems in control theory (general) (93E03)
Cites Work
- Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle
- New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering
- Recursive parameter estimation algorithm for multivariate output-error 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
- Generalized maximum entropy based identification of graphical ARMA models
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- A recursive parameter estimation algorithm for modeling signals with multi-frequencies
- Identification of stochastic nonlinear models using optimal estimating functions
- Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive system by using the key term separation technique
- Identification of dynamic errors-in-variables systems with quasi-stationary input and colored noise
- System identification approach for inverse optimal control of finite-horizon linear quadratic regulators
- Sparse estimation technique for digital pre-distortion of impedance-mismatched power amplifiers
- 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
- Hierarchical parameter and state estimation for bilinear systems
- PARAMETER-VARYING ARTIFICIAL POTENTIAL FIELD CONTROL OF VIRTUAL COUPLING SYSTEM WITH NONLINEAR DYNAMICS
- 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
- 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
- Parameter and state estimation of nonlinear fractional-order model using Luenberger observer
- Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
- Overall recursive least squares and overall stochastic gradient algorithms and their convergence for feedback nonlinear controlled autoregressive 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
- 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
- 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
- Adaptive state observation of linear time‐varying systems with delayed measurements and unknown parameters
- 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
- Maximum likelihood hierarchical least squares-based iterative identification for dual-rate stochastic systems
- Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data
- Iterative parameter and order identification for fractional-order nonlinear finite impulse response systems using the key term separation
- Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling
- Finite-time adaptive control for nonlinear systems with uncertain parameters based on the command filters
- Filtering-based recursive least squares estimation approaches for multivariate equation-error systems by using the multiinnovation theory
- Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation
- Iterative identification methods for a class of bilinear systems by using the particle filtering technique
- Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output-error systems
- 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
- Joint two-stage multi-innovation recursive least squares parameter and fractional-order estimation algorithm for the fractional-order input nonlinear output-error autoregressive model
- Discrete time \(q\)-lag maximum likelihood FIR smoothing and iterative recursive algorithm
Related Items (11)
A filtering-based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems ⋮ A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept ⋮ Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises ⋮ Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises ⋮ Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input-output-error systems with colored noises from observation data ⋮ Cauchy kernel correntropy-based robust multi-innovation identification method for the nonlinear exponential autoregressive model in non-Gaussian environment ⋮ Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise ⋮ Filtered generalized iterative parameter identification for equation-error autoregressive models based on the filtering identification idea ⋮ Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems ⋮ Adaptive multi-innovation gradient identification algorithms for a controlled autoregressive moving average model ⋮ Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle
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