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 …

Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window

L Xu - Circuits, Systems, and Signal Processing, 2022 - Springer
Signal modeling is an important technique in many engineering applications. This paper is
concerned about signal modeling problem for the sine multi-frequency signals or periodic …

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 …

Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data

L Xu, F Chen, F Ding, A Alsaedi… - International Journal of …, 2021 - Wiley Online Library
This paper studies the problem of parameter estimation for the multifrequency sine signals,
which have multiple characteristic parameters such as the amplitudes, phases, and …

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 …

[HTML][HTML] Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model

F Ding, L Xu, D Meng, XB Jin, A Alsaedi… - Journal of Computational …, 2020 - Elsevier
For the bilinear system with white noise, the difficulty of identification is that there exists the
product term of the state and input in the system. To overcome this difficulty, we derive the …

Fault detection and identification method for quadcopter based on airframe vibration signals

X Zhang, Z Zhao, Z Wang, X Wang - Sensors, 2021 - mdpi.com
Quadcopters are widely used in a variety of military and civilian mission scenarios. Real-
time online detection of the abnormal state of the quadcopter is vital to the safety of aircraft …

Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

X Zhang, F Ding, L Xu - International Journal of Robust and …, 2020 - Wiley Online Library
This paper is concerned with the joint estimation of states and parameters of a special class
of nonlinear systems, ie, bilinear systems. The key is to investigate new estimation methods …

Deep learning predictor for sustainable precision agriculture based on internet of things system

XB Jin, XH Yu, XY Wang, YT Bai, TL Su, JL Kong - Sustainability, 2020 - mdpi.com
Based on the collected weather data from the agricultural Internet of Things (IoT) system,
changes in the weather can be obtained in advance, which is an effective way to plan and …

Hybrid deep learning predictor for smart agriculture sensing based on empirical mode decomposition and gated recurrent unit group model

XB Jin, NX Yang, XY Wang, YT Bai, TL Su, JL Kong - Sensors, 2020 - mdpi.com
Smart agricultural sensing has enabled great advantages in practical applications recently,
making it one of the most important and valuable systems. For outdoor plantation farms, the …