Maximum likelihood hierarchical least squares‐based iterative identification for dual‐rate stochastic systems

M Li, X Liu - International Journal of Adaptive Control and …, 2021 - Wiley Online Library
For a dual‐rate sampled‐data stochastic system with additive colored noise, a dual‐rate
identification model is obtained by using the polynomial transformation technique, which is …

Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems

L Xu, F Ding, E Yang - … Journal of Robust and Nonlinear Control, 2021 - Wiley Online Library
This article studies the identification problem of the nonlinear sandwich systems. For the
sandwich system, because there are inner variables which cannot be measured in the …

Expectation–maximization algorithm for bilinear systems by using the Rauch–Tung–Striebel smoother

S Liu, X Zhang, L Xu, F Ding - Automatica, 2022 - Elsevier
Bilinear system is a special class of nonlinear system. This paper is concerned with the
identification problem of the bilinear systems in the state–space form. By treating the …

A recursive parameter estimation algorithm for modeling signals with multi-frequencies

L Xu, G Song - Circuits, Systems, and Signal Processing, 2020 - Springer
In this paper, we focus on the modeling problem of the multi-frequency signals which contain
many different frequency components. Based on the Newton search and the measured data …

Gray-box parsimonious subspace identification of Hammerstein-type systems

J Hou, F Chen, P Li, Z Zhu - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
In this article, a gray-box parsimonious subspace identification method using sampled
dynamical and steady-state data is proposed for block-oriented Hammerstein-type systems …

Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses

L Xu, F Ding, Q Zhu - International Journal of Systems Science, 2021 - Taylor & Francis
In this research, the issue of parameter estimation for control systems is considered to
develop a highly efficient estimation approach for the purpose of satisfying the need of …

Generalized maximum entropy based identification of graphical ARMA models

J You, C Yu, J Sun, J Chen - Automatica, 2022 - Elsevier
This paper focuses on the joint estimation of parameters and topologies of multivariate
graphical autoregressive moving-average (ARMA) processes. Since the graphical structure …

System identification approach for inverse optimal control of finite-horizon linear quadratic regulators

C Yu, Y Li, H Fang, J Chen - Automatica, 2021 - Elsevier
The inverse optimal control for finite-horizon discrete-time linear quadratic regulators is
investigated in this paper, which is to estimate the parameters in the objective function using …

Adaptive event-triggered consensus control of linear multi-agent systems with cyber attacks

S Yuan, C Yu, J Sun - Neurocomputing, 2021 - Elsevier
This paper investigates the adaptive event-triggered consensus control problem for a class
of linear multi-agent systems subject to cyber attacks and communication delays. To …

Novel parameter estimation method for the systems with colored noises by using the filtering identification idea

L Xu, F Ding, X Zhang, Q Zhu - Systems & Control Letters, 2024 - Elsevier
Compared with the systems with white noise disturbances, the parameter identification of the
systems with colored noises (ie, correlated noises) is more difficult. In this letter, we use the …