Auxiliary model-based multi-innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable-gain nonlinearity
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Publication:6495656
DOI10.1002/ACS.3354MaRDI QIDQ6495656
Publication date: 2 May 2024
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
parameter estimationleast-squaresgradient searchmulti-innovation identificationinput nonlinear systemvariable-gain nonlinearity
Cites Work
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- Parameter estimation algorithms for Hammerstein output error systems using Levenberg-Marquardt optimization method with varying interval measurements
- Parameter estimation with scarce measurements
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities
- Iterative identification of Hammerstein systems
- Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
- Combined state and parameter estimation for a bilinear state space system with moving average noise
- Recursive parameter identification of the dynamical models for bilinear state space systems
- Moving horizon estimation for multirate systems with time-varying time-delays
- Robust fault tolerant tracking control for the multi-joint manipulator based on operator theory
- Combined state and least squares parameter estimation algorithms for dynamic systems
- A stable and efficient technique for linear boundary value problems by applying kernel functions
- 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
- A recursive parameter estimation algorithm for modeling signals with multi-frequencies
- Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
- Recursive identification of bilinear time-delay systems through the redundant rule
- Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise
- Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling
- A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace
- Iterative algorithm for parameter identification of Hammerstein systems with two-segment nonlinearities
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
- Dynamic Self-Triggered Controller Codesign for Markov Jump Systems
- Adaptive parameter estimation for a general dynamical system with unknown states
- Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
- Parameter estimation for block‐oriented nonlinear systems using the key term separation
- Robust economic model predictive control of nonlinear networked control systems with communication delays
- Stochastic average gradient algorithm for multirate FIR models with varying time delays using self‐organizing maps
- Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
- Hierarchical parameter and state estimation for bilinear systems
- Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
- Robust identification of MISO neuro‐fractional‐order Hammerstein systems
- Highly computationally efficient state filter based on the delta operator
- State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
- Modeling and parameter identification of systems with multisegment piecewise-linear characteristics
- Parameter estimation of dual-rate stochastic systems by using an output error method
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- Recursive identification of Hammerstein systems with dead-zone nonlinearity in the presence of bounded noise
- Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
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