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Sliding mode corrector for jet UAV control (2023)
Journal Article
Wang, X. (2024). Sliding mode corrector for jet UAV control. Aeronautical Journal, 128(1319), 37-72. https://doi.org/10.1017/aer.2023.29

A sliding mode corrector is presented for disturbance rejection in position sensing using relatively accurate velocity measurement. The corrector design is based on a robust second-order sliding mode (2-sliding mode), which makes the fusion of positi... Read More about Sliding mode corrector for jet UAV control.

A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion (2022)
Conference Proceeding
Alqahtani, S., Zhu, Y., Shi, Q., Meng, X., & Wang, X. (2022). A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion. In 2022 International Conference on Field-Programmable Technology (ICFPT). https://doi.org/10.1109/ICFPT56656.2022.9974569

This paper introduces an efficient and customizable FPGA-based architecture for parallel matrix inversion. The capability of the proposed customizable architecture to adapt to different matrix sizes with low latency and effective resource utilization... Read More about A Highly Customizable and Efficient Hardware Implementation for Parallel Matrix Inversion.

Signal corrector and decoupling estimations for UAV control (2022)
Journal Article
Wang, X. (2022). Signal corrector and decoupling estimations for UAV control. Aeronautical Journal, 127(1311), 796-817. https://doi.org/10.1017/aer.2022.86

For a class of uncertain systems with large-error sensing, the low-order stable signal corrector and observer are presented for signal correction and uncertainty estimation according to completely decoupling estimation. The model-free signal correcto... Read More about Signal corrector and decoupling estimations for UAV control.

Hardware Implementations with High Throughput, Low-Latency and Low-Area for Matrix Inversion (2020)
Conference Proceeding
Alqahtani, S., Zhu, Y., Shi, Q., Meng, X., & Wang, X. (2020). Hardware Implementations with High Throughput, Low-Latency and Low-Area for Matrix Inversion. In 2020 International Conference on Field-Programmable Technology (ICFPT) (250-255). https://doi.org/10.1109/ICFPT51103.2020.00043

This paper proposes two hardware architectures for matrix inversion, through the use of single and double-precision floating-point representations. The architectures use a modified version of the Gauss-Jordan algorithm that accelerates the processing... Read More about Hardware Implementations with High Throughput, Low-Latency and Low-Area for Matrix Inversion.

Design and analysis of stable differentiator-predictor (2020)
Journal Article
Wang, X. (2022). Design and analysis of stable differentiator-predictor. International Journal of Control, 95(5), 1228-1250. https://doi.org/10.1080/00207179.2020.1847326

In this paper, the phase lead by the general phase-lead compensator is analysed, and a criterion of its parameters selection is proposed. In order to get the relatively large time-interval prediction for stochastic signal, two types of differentiator... Read More about Design and analysis of stable differentiator-predictor.