Gradient-based iterative identification methods for multivariate pseudo-linear moving average systems using the data filtering
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Publication:333157
DOI10.1007/s11071-016-2623-6zbMath1355.93188OpenAlexW2259566746MaRDI QIDQ333157
Publication date: 9 November 2016
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-016-2623-6
Related Items (6)
Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models ⋮ Recent advances of stretched Gaussian distribution underlying Hausdorff fractal distance and its applications in fitting stretched Gaussian noise ⋮ Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems ⋮ Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering ⋮ New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering ⋮ Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering
Cites Work
- Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle
- Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition
- State feedback control law for a class of nonlinear time-varying system under unknown time-varying delay
- Neural adaptive control for uncertain MIMO systems with constrained input via intercepted adaptation and single learning parameter approach
- Adaptive fault-tolerant control of a class of nonaffine nonlinear systems with mismatched parameter uncertainties and disturbances
- Robust \(H_{\infty}\) static output feedback controller design for parameter dependent polynomial systems: An iterative sums of squares approach
- Matrix iterative methods for solving the Sylvester-transpose and periodic Sylvester matrix equations
- Robust \(\mathcal H_\infty\) filtering for nonlinear stochastic systems with uncertainties and Markov delays
- Distributed receding horizon control of large-scale nonlinear systems: handling communication delays and disturbances
- New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems
- Bias compensation methods for stochastic systems with colored noise
- Analysis of an iterative algorithm to solve the generalized coupled Sylvester matrix equations
- Parameter estimation for nonlinear dynamical adjustment models
- Unified synchronization criteria for hybrid switching-impulsive dynamical networks
- A filtering based recursive least squares estimation algorithm for pseudo-linear auto-regressive systems
- Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems
- Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
- Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems
- Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique
- Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
- A Systematization of the Unscented Kalman Filter Theory
- Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique
- Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises
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