Separable Newton recursive estimation method through system responses based on dynamically discrete measurements with increasing data length
L Xu - International Journal of Control, Automation and …, 2022 - Springer
Many control techniques rely on the mathematical models of the systems to be controlled.
This paper copes with the modelling problem of dynamical systems aiming to develop highly …
This paper copes with the modelling problem of dynamical systems aiming to develop highly …
The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
Y Ji, Z Kang, X Liu - … Journal of Robust and Nonlinear Control, 2021 - Wiley Online Library
This article considers the parameter identification problem of multiple‐input single‐output
Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data …
Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data …
Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain …
X Liu, Y Fan - International Journal of Robust and Nonlinear …, 2021 - Wiley Online Library
Variable‐gain nonlinearity is a piecewise‐linear characteristic to describe the process with
different gains in different input regions. This article studies the parameter estimation issue …
different gains in different input regions. This article studies the parameter estimation issue …
Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data
This paper studies the problem of parameter estimation for the multifrequency sine signals,
which have multiple characteristic parameters such as the amplitudes, phases, and …
which have multiple characteristic parameters such as the amplitudes, phases, and …
Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems
Z Kang, Y Ji, X Liu - … Journal of Adaptive Control and Signal …, 2021 - Wiley Online Library
This article considers the parameter estimation problem of Hammerstein nonlinear
autoregressive output‐error systems with autoregressive moving average noises. Applying …
autoregressive output‐error systems with autoregressive moving average noises. Applying …
Hierarchical gradient-and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation
F Ding, H Ma, J Pan, E Yang - Journal of the Franklin Institute, 2021 - Elsevier
This paper considers the parameter identification problems of the input nonlinear output-
error (IN-OE) systems, that is the Hammerstein output-error systems. In order to overcome …
error (IN-OE) systems, that is the Hammerstein output-error systems. In order to overcome …
Mining and application of tourism online review text based on natural language processing and text classification technology
H Xu, Y Lv - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
This paper firstly describes the research status of online review text mining and finds out the
problems existing in the mining and application of tourism texts. Aiming at these problems …
problems existing in the mining and application of tourism texts. Aiming at these problems …
Moving data window-based partially-coupled estimation approach for modeling a dynamical system involving unmeasurable states
T Cui, F Ding, T Hayat - ISA transactions, 2022 - Elsevier
The simultaneous parameter and state estimation for a multi-input multi-output (MIMO) state
space system from a set of measurement data is taken into account in this paper. Firstly, in …
space system from a set of measurement data is taken into account in this paper. Firstly, in …
A numerical solution of a class of periodic coupled matrix equations
This paper studies the numerical solutions of a class of periodic coupled matrix equations.
Based on the least square method, a finite iterative algorithm for a class of periodic coupled …
Based on the least square method, a finite iterative algorithm for a class of periodic coupled …
A hierarchical intrusion detection model combining multiple deep learning models with attention mechanism
H Xu, L Sun, G Fan, W Li, G Kuang - IEEE Access, 2023 - ieeexplore.ieee.org
In order to ensure the security of computer systems and networks, it is very important to
design and implement intrusion detection systems that can detect and mitigate network …
design and implement intrusion detection systems that can detect and mitigate network …