Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems
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Publication:5026619
DOI10.1080/00207721.2020.1814893zbMath1483.93674OpenAlexW3082555437MaRDI QIDQ5026619
Huafeng Xia, Quanmin Zhu, Li Xie
Publication date: 8 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2020.1814893
Multivariable systems, multidimensional control systems (93C35) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)
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Cites Work
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- An estimation approach for linear stochastic systems based on characteristic functions
- Optimality of the threshold dividend strategy for the compound Poisson model
- Particle filters for partially-observed Boolean dynamical systems
- Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter
- The perturbed compound Poisson risk process with investment and debit interest
- Free-endpoint optimal control of inhomogeneous bilinear ensemble systems
- Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification
- On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses
- Open-loop asymptotically efficient model reduction with the Steiglitz-McBride method
- Identification of structured state-space models
- Generalized convergence conditions of the parameter adaptation algorithm in discrete-time recursive identification and adaptive control
- 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
- State space model identification of multirate processes with time-delay using the expectation maximization
- Recursive nonlinear-system identification using latent variables
- Variational Bayesian approach for ARX systems with missing observations and varying time-delays
- Exit problems for jump processes with applications to dividend problems
- Combined state and least squares parameter estimation algorithms for dynamic systems
- Variational Bayesian-based iterative algorithm for ARX models with random missing outputs
- Optimal dividend problem with a terminal value for spectrally positive Lévy processes
- Exact joint laws associated with spectrally negative Lévy processes and applications to insurance risk theory
- Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
- Iterative parameter estimation for signal models based on measured data
- Optimal dividend problems for a jump-diffusion model with capital injections and proportional transaction costs
- Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling
- Errors-in-variables identification using maximum likelihood estimation in the frequency domain
- New proof of the gradient-based iterative algorithm for a complex conjugate and transpose matrix equation
- The eigenvalues range of a class of matrices and some applications in Cauchy-Schwarz inequality and iterative methods
- An extension of Paulsen-Gjessing's risk model with stochastic return on investments
- Sparse Signal Recovery Using Iterative Proximal Projection
- Stabilization of High-Order Stochastic Gradient Adaptive Filtering Algorithms
- A Bilinear Equalizer for Massive MIMO Systems
- Maximum-Likelihood Approach With Bayesian Refinement for Multichannel-Wiener Postfiltering
- A Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares Problems
- 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
- Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
- Robust stabilisation of rotary inverted pendulum using intelligently optimised nonlinear self-adaptive dual fractional-order PD controllers
- A geometric approach to nonlinear fault detection and isolation in a hybrid three-cell converter
- Hierarchical parameter and state estimation for bilinear systems
- Extended dissipativity-based non-fragile control for multi-area power systems with actuator fault
- The innovation algorithms for multivariable state‐space models
- ON THE OPTIMAL DIVIDEND PROBLEM FOR A SPECTRALLY POSITIVE LÉVY PROCESS
- Maximum likelihood gradient‐based iterative estimation for multivariable 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
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- Maximum likelihood least squares‐based iterative methods for output‐error bilinear‐parameter models with colored noises