Adaptive multi-innovation gradient identification algorithms for a controlled autoregressive moving average model
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Publication:6652767
DOI10.1007/S00034-024-02627-ZMaRDI QIDQ6652767
Publication date: 13 December 2024
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Filtering in stochastic control theory (93E11) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Cites Work
- Recursive parameter estimation algorithm for multivariate output-error systems
- Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation
- Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise
- Generalized autoregressive score models based on sinh-arcsinh distributions for time series analysis
- Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory
- Generalized maximum entropy based identification of graphical ARMA models
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
- System identification approach for inverse optimal control of finite-horizon linear quadratic regulators
- 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
- PARAMETER-VARYING ARTIFICIAL POTENTIAL FIELD CONTROL OF VIRTUAL COUPLING SYSTEM WITH NONLINEAR DYNAMICS
- Forecasting Time Series With VARMA Recursions on Graphs
- 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
- 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
- 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
- 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
- Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems
- Bayesian estimation of fractional difference parameter in ARFIMA models and its application
- Iterative parameter identification algorithms for transformed dynamic rational fraction input-output systems
- Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises
- 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
- Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries
- Maximum likelihood hierarchical least squares-based iterative identification for dual-rate stochastic systems
- Hierarchical recursive least squares parameter estimation methods for multiple-input multiple-output systems by using the auxiliary models
- Iterative identification methods for a class of bilinear systems by using the particle filtering technique
- 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
- Second-order optimization methods for time-delay autoregressive exogenous models: nature gradient descent method and its two modified methods
- Maximum likelihood based multi-innovation stochastic gradient identification algorithms for bilinear stochastic systems with ARMA noise
- Expectation-maximization algorithm for bilinear state-space models with time-varying delays under non-Gaussian noise
- Decomposition and composition modeling algorithms for control systems with colored noises
- Filtered multi-innovation-based iterative identification methods for multivariate equation-error ARMA systems
- Joint two-stage multi-innovation recursive least squares parameter and fractional-order estimation algorithm for the fractional-order input nonlinear output-error autoregressive model
- Parameter estimation of fractional-order Hammerstein state space system based on the extended Kalman filter
- Hierarchical iterative identification algorithms for a nonlinear system with dead-zone and saturation nonlinearity based on the auxiliary model
- Unbiased recursive least squares identification methods for a class of nonlinear systems with irregularly missing data
- Filtered generalized iterative parameter identification for equation-error autoregressive models based on the filtering identification idea
- Discrete time \(q\)-lag maximum likelihood FIR smoothing and iterative recursive algorithm
- Hierarchical gradient-based iterative parameter estimation algorithms for a nonlinear feedback system based on the hierarchical identification principle
Related Items (4)
Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input-output-error systems with colored noises from observation data ⋮ Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise ⋮ Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems ⋮ Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle
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