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Xingge Li

Bio: Xingge Li is an academic researcher. The author has contributed to research in topics: Materials science & Perception. The author has an hindex of 1, co-authored 1 publications receiving 6 citations.

Papers
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Journal ArticleDOI
TL;DR: Based on the theory of elastoplastic fracture mechanics and multi-physics coupling analysis, the authors explored the effects of multi-cracks and thermal-mechanical coupled load on the reliability of TSVs using numerical analysis.

8 citations

Journal ArticleDOI
TL;DR: A new error compensation auxiliary system is proposed to solve the amplitude and rate constraints of the actuator, and a fuzzy controller with auxiliary systems is designed and the stability of the closed-loop system is proved by the Lyapunov method.
Abstract: This paper proposes a novel fuzzy control scheme for flexible air-breathing hypersonic vehicle (FAHV) non-affine models with amplitude and rate constraints. First, the non-affine dynamics of the FAHV is decomposed into velocity subsystem and altitude subsystem, then the non-affine models of each subsystem are converted into equivalent pure feedback forms, and the fuzzy approximator is used to estimate the total uncertainties of each subsystem. Since the input of control system can be limited by the actual actuator, a new error compensation auxiliary system is proposed to solve the amplitude and rate constraints of the actuator, and a fuzzy controller with auxiliary systems is designed. The stability of the closed-loop system is proved by the Lyapunov method. Through simulation verification, the effective performance of the control system has been proved.

7 citations

Journal ArticleDOI
TL;DR: Zhang et al. as discussed by the authors investigated the adverse effects of challenging weather on the visual perception system, investigated the robustness of visual perception systems affected by adverse weather through imaging, and proposed a method to evaluate the robusts of object detection model under different weather variations.

2 citations

Journal ArticleDOI
TL;DR: In this paper , the transverse pure shear failure behavior of carbon fiber reinforced composites (CFRP) was analyzed considering the influence of the typical resin-rich areas in the view of the finite element analysis of computational micromechanical.

1 citations

DOI
13 Oct 2022
TL;DR: In this paper , the detection performance of the artificial intelligence model is used as a metric to study the impact of vibration-blurred images on the environmental adaptability of visual perception system.
Abstract: Vision-based perception systems are widely used in unmanned platforms and have an important role in tasks such as object classification, object detection, and instance segmentation. The function and performance of visual perception system is not only related to the sensing hardware and recognition algorithm, but also influenced by the external environment. In this paper, the detection performance of the artificial intelligence model is used as a metric to study the impact of vibration-blurred images on the environmental adaptability of visual perception system. The structure and function of AI-baesd visual perception system are analyzed, and two vibration-blurred image generation methods, vibration test and vibration simulation, are introduced. The experiment quantitatively verified the effect of mechanical vibration stress on the performance of AI model during the operation of visual perception system.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: An improved smooth super-twisting based disturbance observer (SSTDOB) is proposed to estimate the unknown external disturbances and an effective fixed-time sliding mode backstepping control (FSMBC) is designed to guarantee the tracking errors converge to a small neighbor of the origin.
Abstract: This paper investigates the velocity and altitude tracking control problem for air-breathing hypersonic vehicle (AHV) under external disturbances and uncertainties. An improved smooth super-twisting based disturbance observer (SSTDOB) is proposed to estimate the unknown external disturbances. With the assistance of SSTDOB, an effective fixed-time sliding mode backstepping control (FSMBC) is designed to guarantee the tracking errors converge to a small neighbor of the origin. Meanwhile, a fixed-time tracking differentiator (FTD) is employed to estimate the virtual control inputs, which can eliminate the differential explosion problem. The overall stability of the closed-loop system is analyzed by utilizing Lyapunov stability theory. Simulation results demonstrate the effectiveness of the composite method.

16 citations

Journal ArticleDOI
TL;DR: A novel adaptive backstepping control method is proposed for a class of nonlinear system with mismatched uncertainties, and a projection operator is designed to avoid the singular problem.

16 citations

Journal ArticleDOI
TL;DR: A novel prescribed performance function is presented, which does not depend on the sign of initial tracking error, and combining prescribed performance control method with backstepping control, the control scheme can ensure that system can converge at a prescribed rate of convergence, overshoot, and steady-state error.
Abstract: In this article, aiming at the longitudinal dynamics model of air-breathing hypersonic vehicles, a fuzzy-approximation-based prescribed performance control scheme with input constraints is proposed...

4 citations

Journal ArticleDOI
TL;DR: Zhang et al. as discussed by the authors investigated the adverse effects of challenging weather on the visual perception system, investigated the robustness of visual perception systems affected by adverse weather through imaging, and proposed a method to evaluate the robusts of object detection model under different weather variations.

2 citations

Journal ArticleDOI
01 Dec 2019
TL;DR: The article proposes a nonlinear optimal (H-infinity) control method for a hypersonic aerial vehicle (HSV) and proves the global asymptotic stability of the control method is proven through Lyapunov analysis.
Abstract: The article proposes a nonlinear optimal (H-infinity) control method for a hypersonic aerial vehicle (HSV). The dynamic model of the hypersonic vehicle undergoes approximate linearization around a temporary operating point which is recomputed at each iteration of the control method. This operating point consists of the present value of the system’s state vector and of the last value of the control inputs vector that was applied on the HSV. The linearization relies on Taylor series expansion and on the computation of the associated Jacobian matrices. For the approximately linearized model of the hypersonic aerial vehicle, an optimal (H-infinity) feedback controller was designed. To compute the controller’s feedback gains, an algebraic Riccati equation had to be repetitively solved at each iteration of the control algorithm. The global asymptotic stability of the control method is proven through Lyapunov analysis. The control scheme remains robust against model uncertainties an external perturbations.

2 citations