Recursive identification for multivariate autoregressive equation-error systems with autoregressive noise
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Publication:5027843
DOI10.1080/00207721.2018.1511873zbMath1482.93655OpenAlexW2888532749WikidataQ129348662 ScholiaQ129348662MaRDI QIDQ5027843
Lijuan Liu, Feng Ding, Quanmin Zhu
Publication date: 7 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2018.1511873
Multivariable systems, multidimensional control systems (93C35) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
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Cites Work
- A novel parameter separation based identification algorithm for Hammerstein systems
- Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle
- Optimality of the threshold dividend strategy for the compound Poisson model
- Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise
- The perturbed compound Poisson risk process with investment and debit interest
- Continuous and discrete state estimation for switched LPV systems using parameter identification
- Tutorial on maximum likelihood estimation
- A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
- Adaptive gradient-based iterative algorithm for multivariable controlled autoregressive moving average systems using the data filtering technique
- Combined state and parameter estimation for a bilinear state space system with moving average noise
- Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
- Synchronization of uncertain chaotic systems via complete-adaptive-impulsive controls
- Recursive parameter identification of the dynamical models for bilinear state space systems
- The hierarchical iterative identification algorithm for multi-input-output-error systems with autoregressive noise
- Rough maximal singular integral and maximal operators supported by subvarieties on Triebel-Lizorkin spaces
- Exit problems for jump processes with applications to dividend problems
- Recursive and iterative least squares parameter estimation algorithms for multiple-input-output-error systems with autoregressive noise
- Optimal dividend problem with a terminal value for spectrally positive Lévy processes
- A recursive identification algorithm for Wiener nonlinear systems with linear state-space subsystem
- Iterative parameter estimation for signal models based on measured data
- Some remarks on stability of stochastic singular systems with state-dependent noise
- Maximum likelihood identification of Wiener models
- A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering
- Maximum likelihood estimation of linear SISO models subject to missing output data and missing input data
- Adaptive neural dynamic surface control of MIMO nonlinear time delay systems with time-varying actuator failures
- LaSalle-Type Theorem and Its Applications to Infinite Horizon Optimal Control of Discrete-Time Nonlinear Stochastic Systems
- Unbiased Minimum Variance Fault and State Estimation for Linear Discrete Time-Varying Two-Dimensional Systems
- Maximum Likelihood Estimation of Transition Probabilities of Jump Markov Linear Systems
- Recursive Maximum Likelihood Identification of Jump Markov Nonlinear Systems
- Continuity and approximate differentiability of multisublinear fractional maximal functions
- Recursive Least Squares for Censored Regression
- A NOTE ON MARCINKIEWICZ INTEGRALS ASSOCIATED TO SURFACES OF REVOLUTION
- Recursive maximum likelihood identification method for a multivariable controlled autoregressive moving average system
- A filtering based multi-innovation gradient estimation algorithm and performance analysis for nonlinear dynamical systems
- Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation
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