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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Yang, Wenji Feng, Yanxiang Yang, Yikang Xing, Keyi School of Automation Science and Engineering Xi'an Jiaotong University Faculty of Electronic and Information Engineering The State Key Laboratory for Manufacturing Systems Engineering Xi'an710049 China

ISBN: (纸本)9798350365221

With the rapid development of the 6G network, the proliferation of Internet of Things (IoT) devices and demand for high-bandwidth and low-latency communications are driving the need for more efficient paradigms. However, due to inherent limitations, IoT devices cannot handle complex tasks independently, necessitating offloading to more powerful resources. As an extension of 6G, the Space-Air-Ground Integrated Networks (SAGIN) achieve broader coverage and efficient resource utilization. Nevertheless, task offloading to SAGIN faces challenges in inefficient resource utilization and security concerns. To address these issues, this paper proposes a novel framework integrating blockchain technology. First, we present a joint task offloading and resource allocation framework in a blockchain-empowered SAGIN (BE-SAGIN). Based on network topology and communication characteristics, a customized blockchain consensus mechanism is designed. Furthermore, the joint task offloading and resource allocation problem is formulated as an optimization problem, considering the cost of tasks and the blockchain system, including delay and energy consumption. Extensive experiments demonstrate that the proposed scheme can significantly reduce system costs, improve resource utilization, and enhance system efficiency compared to baseline approaches. © 2024 IEEE.

关键词： Blockchain

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Application Prospects of Artificial Intelligence technology in Joint All-Domain Command and Control 10th

Application Prospects of Artificial Intelligence Technology ...

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10th China Conference on Command and Control, C2 2022

作者： Chen, Tao Lin, Menglong Wang, He Chen, Honghui Zhang, Mengmeng Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789811960512

Joint All-Domain Command and Control (JADC2) is a military development strategy proposed by the U.S. military in response to a new type of competition between major powers;JADC2 focus on breaking barriers between various operational domains, realizing rapid information sharing and dynamic allocation of combat resources, shortening the time of decision making and improving the quality of decision making. The successful application of artificial intelligence (AI) technologies in the fields of image recognition, natural language processing, and task planning reveals the potential of applying related technologies to the field of JADC2. This paper analyzes the core concepts and latest progress of JADC2, summarizes the typical application scenarios of AI technologies, divides the AI technologies into cognitive and perceptual AI technologies according to the characteristics of the research field, then introduces specific AI technologies and model training methods that can be applied in the field of JADC2. Finally, a typical joint operation case illustrates the application of AI technologies in the process of specific operational activities. © 2022, Chinese Institute of Command and Control.

关键词： Decision making

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Research on automatic switching of hydraulic feed dual process in honing processing 4

Research on automatic switching of hydraulic feed dual proce...

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2024 4th International Conference on Mechatronics, Automation and Intelligent Control, MAIC 2024

作者： Lu, Yong Pei, Hailong Li, Guang Deng, Haijun Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems School of Automation Science and Engineering South China University of Technology Guangzhou510640 China School of Information Guangdong Polytechnic of Science and Trade Guangzhou510440 China

Honing is a finishing process used for the inner cylindrical surfaces of engine blocks or liners. The process involves abrasive particles bonded to the surface of a honing head, which come into contact with the inner bore surface, performing an oscillating and rotational motion. These motions follow a specific pattern, allowing for the creation of crosshatch patterns on the inner bore surface, thereby improving dimensional accuracy, form accuracy and reducing surface roughness. Common honing processes are divided into four distinct phases: material removal, crosshatching, finish honing, and plateau honing. Each phase corresponds to specific tasks such as material removal from the bore, creating crosshatch patterns, honing the peaks in the crosshatch, and final surface finishing. In computer numerical control (CNC)-based honing machine, individual control commands are typically used to manage each of these phases separately. The commands are combined according to process requirements to achieve the desired honing results. To enhance the efficiency of the honing process, this study focuses on the hydraulic feed of the abrasive strips on the honing head, specifically examining the automatic continuous switching between finish honing and plateau honing. The research analyzes the honing principles, develops a control algorithm for dual-process automatic switching, and validates the process through machining tests. Compared to single-process control, the proposed algorithm significantly improves processing efficiency. Additionally, this algorithm can be applied to other dual-process automatic switching controls, providing valuable insights for the design of CNC honing systems. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Honing machines

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Predefined Performance Control for Saturation Nonlinear systems in Finite-Time 7

Predefined Performance Control for Saturation Nonlinear Syst...

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7th International Symposium on Autonomous systems, ISAS 2024

作者： Ju, Hanzheng Tao, Fazhan Fu, Zhumu Henan University of Science and Technology College of Information Engineering Luoyang China Intelligent System Science and Technology Innovation Center Longmen Laboratory Luoyang China

ISBN: (纸本)9798350363173

This paper investigates predefined performance control (PPC) in finite-time for nonlinear systems under saturation nonlinearity and immeasurable states. A modified finite-time performance function is devised to obtain expected performance indexes within finite-time. Meanwhile, the impact of input saturation is overcome by using mean-value theorem. By integrating backstepping method with adaptive technique, an observer-based PPC algorithm is presented, which guarantees that tracking error converges into predefined range within finite-time. Finally, the validity of presented control algorithm is demonstrated via simulation. © 2024 IEEE.

关键词： Backstepping

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A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control systems

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 584-602页

作者： Boqian Li Shiping Wen Zheng Yan Guanghui Wen Tingwen Huang Australian AI Institute Faculty of Engineering and Information TechnologyUniversity of Technology SydneyNSW 2007Australia Department of Systems Science School of MathematicsSoutheast UniversityNanjing 210096China Science Program Texas A&M University at QatarDoha 23874Qatar IEEE

This survey provides a brief overview on the control Lyapunov function(CLF)and control barrier function(CBF)for general nonlinear-affine control *** problem of control is formulated as an optimization problem where the optimal control policy is derived by solving a constrained quadratic programming(QP)*** CLF and CBF respectively characterize the stability objective and the safety objective for the nonlinear control *** objectives imply important properties including controllability,convergence,and robustness of control *** this framework,optimal control corresponds to the minimal solution to a constrained QP *** uncertainties are explicitly considered,the setting of the CLF and CBF is proposed to study the input-to-state stability and input-to-state safety and to analyze the effect of *** recent theoretic progress and novel applications of CLF and CBF are systematically reviewed and discussed in this ***,we provide research directions that are significant for the advance of knowledge in this area.

关键词： Control barrier function(CBF) control Lyapunov function(CLF) nonlinear-affine control systems

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Construction Method of Resilience Killing Chain Based on Two-Layer Optimization Model 1

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10th China Conference on Command and Control, C2 2022

作者： Zhang, Lu Zhu, Xianqiang Xiao, Kaiming Zhang, Weiming Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha410073 China

ISBN: (数字)9789811960529

ISBN: (纸本)9789811960512

Killing-chain is the core mode of energy accumulation and release of the system. Under the concept of multi domain cooperative operation, the structure mode of killing-chain has been converted from one-way superposition and series chain structure to complex and multi-dimensional network structure. In order to efficiently plan the killing-chain, it is necessary to optimize the combination mode of killing chain based on two-layer optimization. Firstly, a networked description method of combat network is introduced based on heterogeneous network model. Secondly, the optimization model is established based on the two-layer optimization method, and two novel evaluation metrics: effectiveness index and robustness index, are proposed. Finally, we compare the proposed optimization model with the stochastic optimization method through a simulation case study and verify the superiority of the two-layer optimization model. © 2022, Chinese Institute of Command and Control.

关键词： Optimization

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Deliberate design of MOF-based pre-catalyst rationalizing the structural reconstruction toward efficient oxygen evolution reaction

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science China Chemistry 2025年第6期68卷 2388-2398页

作者： Yunhui Chen Meng Tian Zhongqi Zhang Guangzhao Wang Yan Guo Jing Wu Dawei Qi Zhenhua Yan Xiangyu Liu Xi Liu State Key Laboratory of High-efficiency Coal Utilization and Green Chemical Engineering College of Chemistry and Chemical EngineeringNingxia University Key Laboratory of Extraordinary Bond Engineering and Advanced Materials Technology of Chongqing School of Electronic Information Engineering Yangtze Normal University Frontiers Science Center for New Organic Matter Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) State Key Laboratory of Advanced Chemical Power Sources College of Chemistry Nankai University School of Chemistry and Chemical Engineering In-situ Center for Physical Sciences Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong University

Metal-organic frameworks（MOFs）, that have emerged as promising electrocatalysts in oxygen evolution reaction（OER）,usually undergo structural reconstruction to form metal hydroxides as active sites. However, it remains a great challenge to design and synthesize ideal MOF-based pre-catalysts for properly cognizing and utilizing the reconstruction process toward efficient OER activity. Herein, the well-defined MOF-808 is post-modified by 2-hydroxyphosphonoacetic acid（HPAA） to form a micro-adsorber that enables to capture of metal ions effectively. Fe3+and Ni2+ions are synergistically anchored into the microadsorber, developing a Fe/Ni-containing pre-catalyst that can be dynamically electrooxidized to be an active and stable dual-site electrocatalyst denoted by R-MOF-HPAA@Fe Ni with abundant metal sites. As a result, R-MOF-HPAA@Fe Ni exhibits an excellent OER performance with a low overpotential of 272 m V and Tafel slope of 35.9 m V dec-1, as well as long-term stability over 300 h at 10 m A cm-2. Experiments and theoretical calculations suggest the resulting catalyst mainly follows a lattice oxygen mechanism（LOM） of dual-metal-site mechanism（DMSM）. Owing to the chelating role of HPAA, the post-synthesized MOFHPAA behaves as a trap to uniformly and firmly adhere Fe3+and Ni2+ions, leading to a functionalized MOF-based pre-catalyst which can be structurally evolved into atomic level-distributed OER electrocatalysts.

关键词： metal-organic frameworks functionalization electrochemical reconstruction electrocatalyst oxygen evolution reaction

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A Multi-channel Chinese Text Correction Method Based on Grammatical Error Diagnosis 8

A Multi-channel Chinese Text Correction Method Based on Gram...

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8th International Conference on Big Data and information Analytics, BigDIA 2022

作者： Xu, Hao He, Chunhui Zhang, Chong Tan, Zhen Hu, Shengze Ge, Bin National University of Defense Technology Changsha Science and Technology on Information Systems Engineering Laboratory 410073 China

ISBN: (数字)9781665487962

ISBN: (纸本)9781665487962

Text error correction is a key research direction in natural language processing (NLP). Using a single model to diagnose and correct grammatical errors is the current mainstream approach. Although these methods have high performance in diagnosing grammatical errors. They also have the problem of low error correction performance. In order to improve the error correction performance, this paper proposes a multi-channel Chinese text correction method based on grammatical error diagnosis (GED-MCCTC). First, in order to accurately identify the types of grammatical errors and error position information, the Bi-LSTM-CRF model is utilized to give the labels of grammatical error types and positions. Then, four corresponding correction channels are designed according to the five different types of grammatical errors defined to complete the error correction task. Experimental results on shared datasets show that the proposed method improves the average F1 score by 4.83% compared with the optimal baseline model. The multi-channel correction model can greatly improve the text correction performance, on the SIGHAN15 and Corpus500 test datasets, the average F1 score has reached 76.07% and 72.62%. © 2022 IEEE.

关键词： Error correction

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A Quantitative Investigation on the Impact of Microring Modulator Coupling States to 112 Gbps PAM4 Signal Transmission

A Quantitative Investigation on the Impact of Microring Modu...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Tan, Junxiong Zhu, Kejia Meng, Weiyi Wang, Qian Sun, Yu Lu, Junde Li, Yueqin Sun, Jian Miao, Min Qin, Jun Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing100192 China Beijing Information Science and Technology University Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing100192 China

ISBN: (纸本)9798350312614

In this paper, we conduct a comprehensive quantitative analysis on the impact of silicon microring modulators (Si-MRM) coupling states to 112 Gbps PAM4 transmission system based on a system-level model of Si-MRM, which include a dynamic ring resonator and a linearized equivalent electrical circuit. The simulation results reveal that among three of the coupling states, the critical coupling state yields the most optimal extinction ratio (ER) and bit error rate (BER) performances. Within the range of 0.70 to 0.85 for round-trip loss a and self-coupling coefficient t (a=t), an optimal system performance is attainable. In the cases of overcoupling and undercoupling, favorable performance can be achieved when t is approximately 0.75 (∼ 0.05 smaller than a) and 0.79 (∼0.04 larger than a, respectively. At BER of 3.8× 10-3, the power penalty for the critical coupling state under a=t= 0.70 to a=t=0.94 is ∼6.61 dB. And there's ∼7.13 dB power penalty for the overcoupling state at t= 0.55 (a=0.80)) compared to the critical coupling benchmark when t=0.80 at BER of 1.5× 10-2. For undercoupling, the power penalty for the state of t=0.95 (a=0.75) is ∼ 7.07 dB compared to t=0.75 at BER of 3.8× 10-3. These results clearly reveal the influence of coupling states of MRM to the system performance, offering insights that applicable to modulator design, compensating for fabrication errors, and employing Si-MRM at the system level. © 2023 IEEE.

关键词： coupling states microring modulator PAM4 Silicon photonics

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Deep Learning-Based Modulation Recognition for Imbalanced Classification 4

Deep Learning-Based Modulation Recognition for Imbalanced Cl...

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4th International Conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Luo, Runqing Sun, Jian Guo, Yanan Beijing Information Science and Technology University 100101 China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9798400709449

Automatic modulation recognition (AMR) is a crucial task in intelligent receiver systems, with significant applications in both civilian and military scenarios. Deep learning-based modulation recognition algorithms have achieved high recognition accuracy and good robustness. However, the performance of DL-AMR heavily relies on a large amount of training data. When the training dataset has a limited number of samples or an imbalanced distribution across different classes, the accuracy of automatic modulation recognition for minority class samples may significantly decrease. Therefore, a CNN model with a focal loss as the output layer's loss function is proposed to address the issue of decreased recognition accuracy for minority classes in the deep learning model when faced with imbalanced training data. Simulation results demonstrate that this model improves the recognition accuracy of classes with a limited number of samples. © 2023 ACM.

关键词： Deep learning

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