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Your search keyword '"Sun, Jun"' showing total 473 results
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473 results on '"Sun, Jun"'

22. LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier].

Author

Fang, Wei, Zhu, Zhenhao, Zhu, Shuwei, Sun, Jun, Wu, Xiaojun, and Lu, Zhichao

Abstract

Neural architecture search (NAS) has been widely studied to design high-performance network architectures automatically. However, existing approaches require more search time and substantial resource consumption due to their intensive architecture evaluations. Moreover, recently developed NAS algorithms are noncompetitive when combining multiple competing and conflicting objectives, e.g., the test accuracy and the number of parameters. In this paper, a low-cost NAS (LoNAS) method is proposed to address these problems. First, a variable-architecture encoding strategy based on a novel Reg Block is designed to construct high accuracy network architectures with few parameters. Second, a training-free proxy based on the neural tangent kernel (NTK) is proposed to accelerate the search process efficiently. Finally, a three-stage evolutionary algorithm (EA) based on multiple-criteria environmental selection and a set of block-based mutation operators are designed to balance exploration and exploitation better. The experimental results show that LoNAS finds network architectures with competitive performance compared to the state-of-the-art architectures in test accuracy and the number of parameters. Moreover, LoNAS uses less search time and fewer computational resources, consuming only 0.02 GPU Days with one GPU on CIFAR-10 and CIFAR-100. Furthermore, the architectures found by LoNAS on CIFAR-10 and CIFAR-100 exhibit good transferability to ImageNet-16-120, with the test accuracy surpassing that of the state-of-the-art network architectures. [ABSTRACT FROM AUTHOR]

Published
2023
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40. H∞ Robust Control for ICPT System With Selected Weighting Function Considering Parameter Perturbations.

Author

Liang, Yan, Sun, Pan, Wu, Xusheng, Zhou, Hang, Sun, Jun, Yang, Gang, Cai, Jin, and Deng, Qijun

Subjects
ROBUST control, CLOSED loop systems, FREQUENCY-domain analysis
Abstract

H∞ control can guarantee the performance of a nominal ICPT system. However, the dynamic performance may suffer degradation when the parameter deviates from its nominal value. Thus, to enhance the overall dynamic performance of the ICPT system under parameter perturbations, an H∞ control method with a selected weighting function considering parameter perturbations is proposed in this article. First, a generalized state-space model is established to analyze the influence of parameter perturbations on the open-loop system in detail. After that, an uncertain model is established via frequency-domain analysis, generating a numerical solution of a weighting function used to describe the parameter perturbations. Then, the generalized plant with uncertainty is obtained and transferred into a standard H∞ optimal problem via small gain theory. Based on the proposed controller, the dynamic performance and robustness of the closed-loop system are analyzed and verified theoretically. Finally, simulation and experimental results further verify that the proposed H∞ control method can make the closed-loop system obtain good dynamic performance and strong robustness against parameter perturbations. The settling time is less than 6.8 ms without any overshoot when the system suffers parameter perturbations. Besides, the controller can maintain good dynamic performance in the startup and reference tracking experiments. [ABSTRACT FROM AUTHOR]

Published
2022
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41. Zero-Voltage Switching Regulation Strategy of Full-Bridge Inverter of Inductive Power Transfer System Decoupled From Output Characteristics.

Author

Cai, Jin, Wu, Xusheng, Sun, Pan, Deng, Qijun, Sun, Jun, Zhou, Hang, and Wang, Xiaona

Subjects
ZERO voltage switching, NONHOLONOMIC dynamical systems, CASCADE connections, BRIDGE circuits, ELECTROMAGNETIC interference, HARBORS, SOFT power (Social sciences), ELECTRIC inverters
Abstract

The soft switching of power components in inductive power transfer systems can reduce switching loss and switching stress and decrease electromagnetic interference. However, the realization of soft switching in an inductive power transfer system may change the system's constant voltage and constant current output characteristics. For this reason, in this article, a zero-voltage switching technology based on a full-bridge inverter that is decoupled from the output characteristics of the system is proposed and validated. First, the basic conditions for the full-bridge inverter to achieve zero voltage switching are derived by analyzing the working mode of the full-bridge inverter circuit. Then, the constant current, constant voltage output, and zero phase angle input conditions of a first-order/second-order/third-order compensation structure are studied using the high-order two-port network cascading rule. On this basis, a parameter adjustment strategy for an arbitrary compensation structure is proposed to achieve zero voltage switching without affecting the output. Then analytical verification of the constant current output characteristics of a double-sided inductor-capacitor-capacitor compensation structure is performed as an example. Finally, a MATLAB/Simulink model and a set of 3.3 kW prototypes are established to verify the correctness of the theoretical analysis. [ABSTRACT FROM AUTHOR]

Published
2022
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