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第36届中国控制会议

作者： Hui Peng JunZheng Wang Wei Shen JiangBo Zhao RenJian Hao School of Automation Beijing Institute of Technology Key laboratory of intelligent control and decision of complex system

ISBN: (纸本)9781538629185

The position tracking control problem of electrical cylinder in the presence of nonlinear friction load, inertia load and nonlinear disturbance due to its transmission process is addressed in this paper. To compensate all of these disturbances in the case of servo motion, active disturbance rejection control is used to make a continuous and precise transition. Tracking differentiator is used for arranging the transition process to avoid overshoot. Extended state observer is built to estimate the unmeasurable internal disturbance, parametric uncertainties and external uncertainty for a guaranteed robust performance. Nonlinear state error feedback is designed to combine the error feedbacks more reasonable. Simulation and experimental results show that active disturbance rejection controller shows very strong robustness and adaptability compared with traditional PID control algorithm.

关键词： Electrical cylinder Nonlinear disturbance Position tracking control Active disturbance rejection control

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High-accuracy carrier frequency acquisition algorithm of GNSS signal based on numerical approximation method 5

High-accuracy carrier frequency acquisition algorithm of GNS...

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5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Wang, Guangjun Deng, Xuening Wu, Min School of Automation China University of Geosciences Wuhan430074 China China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China

The bandwidth of the Doppler frequency shift under high dynamic environment that the GNSS receivers need to search is 5-10 times than the conventional receivers, a large frequency step is generally chosen to improve the satellite signal acquisition speed. Aiming at the problem that acquisition carrier frequency deviation caused by the large step search cannot meet the requirement of the tracking loop design, a fine frequency estimation method based on numerical approximation is proposed in this paper. The proposed method applied the preferred frequency slot and approximated the capture correlation peak combined with the curve fitting method, which can reduce the frequency deviation, and improve the accuracy of acquisition, then simplify the complexity of tracking loop design. Simulation results show that it has higher accuracy than the other two algorithm at different SNR (Signal to Noise Ratio).

关键词： Frequency estimation

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Towards Energy-Efficiency: Integrating MATD3 Reinforcement Learning Method for Computational Offloading in RIS-Aided UAV-MEC Environments

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IEEE Internet of Things Journal 2025年

作者： Wu, Liangshun Zhang, Cong Zhang, Bin Du, Jianbo Qu, Junsuo Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai201210 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Xi'an Key Laboratory of Advanced Control and Intelligent Process School of Automation Xi'an University of Posts & Telecommunications Xi'an710061 China Xinjiang University of Political Science and Law Tumushuke832003 China School of Remote Sensing and Information Engineering Wuhan University Wuhan430079 China Department of Computer City University of Hong Kong 999077 Hong Kong School of Communications and Information Engineering Xi'an University of Posts & Telecommunications Xi'an710061 China

With the proliferation of IoT devices, there is an escalating demand for enhanced computing and communication capabilities. Mobile Edge Computing (MEC) addresses this need by relocating computing resources to the network edge, thereby delivering swifter and more efficient services. This paper introduces a computation offloading and energy consumption optimization framework that leverages Reconfigurable intelligent Surfaces (RIS), Unmanned Aerial Vehicles (UAVs), and MEC. The scheme aims to maximize energy efficiency through the optimization of task allocation, RIS phase shifts, and UAV trajectories. By employing the Multi-Agent Twin Delayed Deep Deterministic Policy Gradient (MATD3) reinforcement learning algorithm, the paper further refines UAV trajectories and RIS configurations. The simulation results indicate that the proposed method surpasses the traditional Concave-Convex Procedure (CCCP) algorithm in both UAV trajectory control and RIS configuration, demonstrating quicker convergence and enhanced stability. The method proves to be adaptable to diverse environments and tasks, showcasing notable benefits in RIS-assisted interference suppression, particularly with large RIS, thereby enhancing UAV data reception rates. Additionally, MATD3 exhibits faster and smoother convergence for extended task durations and smaller RIS scenarios. Simulation results reveal that UAVs tend to move closer to RIS, with energy efficiency falling as IoT tasks increase, affirming the proposed algorithm's high energy efficiency and effectiveness. © 2025 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Influence of Si Buffer Layer on the Crystal Quality of SiGe Films in Ge/Si/SiGe Heterostructures: A Molecular Dynamics Investigation

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Surface Science 2025年

作者： Jianan Xie Tao Lin Cailin Wang College of Automation and Information Engineering Xi’an University of Technology Xi’an 710048 China Shannxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an 710048 China

SiGe materials have become a research hotspot due to their important applications in semiconductor devices, especially in optoelectronic and high-speed electronic devices. In this study, based on molecular dynamics simulations, the influence of the Si buffer layer on the quality of films in Ge/Si/SiGe heterostructures is investigated. By simulating the growth process of the Ge/Si/SiGe heterostructure, a deposition model based on Ge(100) substrates is established. Inspired by the concept of reverse gradient buffer layers, Si buffer layers are directly grown on Ge substrates, followed by the deposition of SiGe films. This study primarily investigates the effects of the growth temperature and deposition thickness of the Si buffer layer on the quality of SiGe films. Based on the deposition parameters identified as suitable under the current simulation conditions (620 °C, 9.7 nm), the influence of the buffer layer on SiGe films with varying Ge compositions is further analyzed. The results show that the dislocations and stacking faults formed in the Si buffer layer effectively relieve the stress caused by lattice mismatch, thus improving the crystal quality of the subsequent SiGe films. This study provides theoretical insights into the Ge/Si/SiGe heterostructure film growth process, which helps enhance the quality of SiGe films and expands their applications in semiconductor devices.

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Microwave filter tuning based on reflection characteristics 5

Microwave filter tuning based on reflection characteristics

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5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Wu, Shengbiao Cao, Weihua Liu, Can School of Automation China University of Geoscience Wuhan Hubei430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Japan

Traditional microwave filter tuning is mainly based on the optimization method, which needs to extract the coupling matrix of scattering parameters in the process of tuning. However, due to actual microwave filter has phase loading and resistance loss, the extraction result of the coupling matrix may not be accurate, which leads to tuning inefficiency. In order to solve this problem, we present a novel intelligent tuning method by using an improved implicit space mapping algorithm which can optimize the zero pole position. This method is divided into two stages. In the first stage the phase error is used to initial the filter tuning, guaranteeing the return loss of the filter appear in the passband. The second stage realizes the fine tune of the filter. Firstly, the polynomial coefficients of the filter reflection characteristics are extracted by the Cauchy method. Secondly, the relationship between the Screw variation and the polynomial coefficients of the reflection parameters is established based on neural networks. Finally, the mapping relation between the variation of the screw and the variation of poles and zeros position is established by improved implicit space mapping algorithm. The tuning experiment of eight order coaxial cavity filter shows that the method has good tuning effect and quick tuning speed.

关键词： Microwave filters

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Dissipativity Analysis for Markovian Jump Neural Networks with Time-Varying Delay via An Extended Relaxed Integral Inequality 37

Dissipativity Analysis for Markovian Jump Neural Networks wi...

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37th Chinese control Conference, CCC 2018

作者： Wen-Juan, Lin Yong, He Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geosciences School of Automation Wuhan430074 China

ISBN: (纸本)9789881563941

This paper investigates the problem of the strictly (\mathcal{Q}, \mathcal{S}, \mathcal{R})-\gamma -dissipativity analysis for Markovian jump neural networks with a time-varying delay. By employing an appropriate Lyapunov-Krasovskii functional and using the extended relaxed integral inequality to estimate its derivative, a delay-dependent and mode-dependent condition that guarantee the considered Markovian jump neural networks strictly (\mathcal{Q}, \mathcal{S}, \mathcal{R})-\gamma -dissipative is derived. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method. © 2018 Technical Committee on control Theory, Chinese Association of automation.

关键词： Lyapunov functions

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Polarization-independent Dual Mode Silicon Spot Size Converter Using Gradual Index Distributed Subwavelength Gratings 8

Polarization-independent Dual Mode Silicon Spot Size Convert...

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8th Optoelectronics Global Conference, OGC 2023

作者： Liu, Jie Ye, Mengyuan Ma, Hong Zeng, Duowei Chen, Yang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Wuhan430074 China

We propose and demonstrate a polarization-independent dual mode spot size converter (SSC) on silicon integrated platform. By utilizing gradual index distributed subwavelength gratings (GRIN-SWG). The proposed device c... 详细信息

ISBN: (纸本)9798350325324

关键词： Silicon

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Fixed-Time and Preassigned-Time Synchronization of Delayed Inertial Neural Networks 36

Fixed-Time and Preassigned-Time Synchronization of Delayed I...

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36th Youth Academic Annual Conference of Chinese Association of automation, YAC 2021

作者： Zeng, Kan Wang, Leimin Cheng, Jiajun China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Wuhan430074 China

ISBN: (纸本)9781665437127

This paper investigates the fixed-Time synchronization (FXTS) and the preassigned-Time synchronization (PATS) of inertial neural networks (INNs) by improved control strategies. Firstly, using the order-reduce method, a proper Lyapunov function is constructed and a FXTS controller is designed. Then, some novel conditions for TXTS of INNs are derived and a more precise estimate for the settling time are provided. Moreover, depending on the FXTS, another PATS controller is proposed, with which the PATS of INNs is also achieved. Finally, the correctness and validity of the FXTS and PATS results are illustrated by a numerical example. © 2021 IEEE.

关键词： Lyapunov functions

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Fixed-/Preassigned-Time Stabilization of Memristive Neural Networks with Discontinuous Activations

Fixed-/Preassigned-Time Stabilization of Memristive Neural N...

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2021 International Conference on Neuromorphic Computing, ICNC 2021

作者： Li, Haoyu Wang, Leimin School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China

ISBN: (纸本)9781665412872

In this paper, the fixed-time stabilization (FTS) and preassigned-time stabilization (PTS) problems for memristive neural networks (MNNs) with discontinuous activation functions (DAF) is investigated by designing a unified controller. In addition, less conservative stabilization criteria are derived to ensure the FTS and PTS of MNNs. Besides, a more accurate estimate of settling time is obtained based on Lyapunov stability theory. Finally, a numerical simulation is illustrated to verify the validity of theoretical results. © 2021 IEEE.

关键词： Stabilization

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PDM control Strategy of Extremely High Gain ICPT system Applying for Electrical Isolation Aimed at Maximum Efficiency 48

PDM Control Strategy of Extremely High Gain ICPT System Appl...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Yue, Haojiang Fang, Zhijian Xia, Yuangeng China University of Geosciences Wuhan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Wuhan China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

In order to achieve electrical isolation, high-voltage transformers must use insulating materials. However, in some applications, such as medical treatment, transformers using insulating materials may cause problems of weight increase and flexible movement. As a result, the inductively coupled power transfer (ICPT) system are used to replace regular high transformers, with the air gap between the primary and secondary coils serving as electrical insulation. Under the SP resonance compensation structure, the ICPT system needs to achieve exceptionally high gain, which will result in the voltage gain being sensitive to frequency variations. When the frequency deviates slightly from the resonance point, more circulation and loss occurs, lowering the efficiency of the system. Therefore, this paper proposes a control strategy based on the combination of pulse-duration modulation (PDM) and maximum efficiency point tracking (MEPT) is proposed, at the first resonance point of the ICPT system based on the SP resonance compensation structure. This control method is capable of producing medium and high voltage constant voltage output, and the switch tube achieves zero current switching during operation. In the case of a wide load variation range, maximum efficiency point tracking may be obtained at the same time. Finally, a 100W high-gain ICPT experimental platform is built, and the constant voltage output with 25 times high gain is realized over the transmission distance of 11.2cm, which verifies the effectiveness of the control strategy. © 2022 IEEE.

关键词： Pulse width modulation

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