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作者： Shen, Xiuyu Li, Dequan Fang, Runyue Zhou, Yuejin Wu, Xiongjun School of Mathematics and Big Data Anhui University of Science and Technology Huainan China National Defense Key Laboratory of Science and Technology on Electromagnetic Scattering The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Shanghai China

This paper investigates an adaptive gradient-based online convex optimization problem over decentralized networks. The nodes of a network aim to track the minimizer of a global time-varying convex function, and the communication pattern among nodes is captured as a connected undirected graph. To tackle such optimization problems in a collaborative and distributed manner, a weight decay distributed adaptive online gradient algorithm, called WDDAOG, is firstly proposed, which incorporates distributed optimization methods with adaptive strategies. Then, our theoretical analysis clearly illustrates the difference between weight decay and L2 regularization for distributed adaptive gradient algorithms. The dynamic regret bound for the proposed algorithm is further analyzed. It is shown that the dynamic regret bound for convex functions grows with order of (Formula presented.), where T and n represent the time horizon and the number of nodes associated with the network, respectively. Numerical experiments demonstrate that WDDAOG works well in practice and compares favorably to existing distributed online optimization schemes. © 2020 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd.

关键词： Convex optimization

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A genetic algorithm-calibrated heat source model for reconstructing thermal history and precipitate evolution in additive friction stir multilayer deposition

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CIRP Journal of Manufacturing science and technology 2025年 61卷 70-87页

作者： Lyu, Wancheng Guo, Xunzhong Shen, Yizhou Huang, Chunping Liu, Fencheng College of Materials Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 211100 China State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 China of Chinese Aeronautical Establishment Yangzhou 225003 China National Defense Key Discipline Laboratory of Light Alloy Processing Science and Technology Nanchang Hangkong University Nanchang 330063 China

Additive friction stir deposition (AFSD) has shown significant potential for additive manufacturing of large structures, which involves unique thermal cycling effects in multilayer deposition. The present endeavor firstly attempts to develop a universal moving heat source model (the double-hump model) for finite element multilayer thermal simulation, which mathematically simplifies the non-uniform distribution of macroscopic heat flux densities in the deposition zone. By adopting a planar heat source formulation, the model consequently neglects the radial contribution of plastic dissipation. The main objective is to seek a convenient simulation means to reconstruct the thermal history of the multilayer deposition and to get its impact on the precipitate evolution and mechanical properties. The heat source model parameters were determined by a genetic algorithm based on the principle of monarch selection and uniform crossover strategy to match the experimental data. The temperatures predicted by the finite element model for the preheating and multilayer deposition stages agreed well with those obtained experimentally. The location of the maximum heat flux density in the deposition zone was evaluated for the first time. The simulation data and characterization results show that the simulation of the multilayer AFSD process based on the heat source model can effectively reflect the second phase evolution in the thermal cycle and the influence on the mechanical properties. Furthermore, this study presents a novel thermal analysis of distinctive phenomena occurring in the AFSD process, showing the potential of heat source modelling in the thermal simulation of multilayer deposition. © 2025 Elsevier Ltd

关键词： Additive friction stir deposition Additive manufacturing Finite element method Genetic algorithm Heat source model

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Supermaneuverable Flipping control and Planning Based on Multi-Rotor Mode of Tilt-Rotor UAVs

Supermaneuverable Flipping Control and Planning Based on Mul...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Wang, Hongpeng Zhang, Qinghao Fei, Yue Deng, Kun Liang, Jun Sun, Chuanyu Xu, Li Civil Aviation University of China The Key Laboratory of Civil Aviation Smart Airport Theory and System China College of Artificial Intelligence Nankai University Tianjin300071 China National University of Defense Technology Laboratory of Science and Technology on Integrated Logistics Support Changsha410073 China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute Nankai University Shenzhen518083 China China Nuclear Power Technology Research Institute Co. Ltd Shenzhen518000 China

ISBN: (纸本)9781665481090

Maneuverability is a critical factor for UAV s to survive in high-intensity combat scenarios. Traditional UAV s typically operate in a stable motion state to ensure flight safety. However, in highly contested environments, special missions require high mobility while maintaining safety. Tilt-rotor UAV s, which combine the characteristics of fixed-wing and multi-rotor UAVs, can perform extreme maneuvers, such as high angles of attack and post-stall maneuvers, to rapidly change posture and complete tasks like positioning and defense. Therefore, integrating and optimizing safety and maneuverability metrics is necessary for enabling UAV s to achieve extreme maneuverability. In this paper, extreme maneuver planning and control for tilt-rotor UAV s are realized through a method based on third-order Bezier curve planning of body angular velocity. Experimental results demonstrate tilt-rotor UAVs can perform extreme super-maneuverable flips while maintaining overall process control. © 2024 IEEE.

关键词： Maneuverability

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A Self-Organized Constrained Flocking Protocol Design Subject to Sensor Detection Failure

A Self-Organized Constrained Flocking Protocol Design Subjec...

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2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Wu, Xiongjun Wang, Man Meng, Xiangyu The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation National Defense Key Laboratory of Science and Technology on Electromagnetic Scattering Shanghai China Shanghai Jiao Tong University Department of Automation Shanghai China Louisiana State University Division of Electrical and Computer Engineering Baton Rouge United States

ISBN: (纸本)9798350316308

This paper proposes a constrained flocking algorithm to achieve the velocity consensus of multiple agents subject to exogenous disturbances. The Reynolds boids model is adapted to capture the dynamic behavior of agents in flocks. Both collision avoidance and disturbance attenuation are considered in the flocking problem. The collision avoidance is designed to prevent a crash with static obstacles and among agents. The disturbance attenuation is solved by optimizing the energy-to-energy system gain. Stability and system gain conditions are provided in the form of linear matrix inequalities by exploiting the dissipative property of an energy storage function. Illustrative examples of no-fly zone simulations are presented to verify the effectiveness of the suggested approach, as well as the control protocol's feasibility. © 2023 IEEE.

关键词： Multi agent systems

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Study on reflection separation based on orthogonal polarization images 4

Study on reflection separation based on orthogonal polarizat...

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2021 4th International Conference on Advanced Algorithms and control Engineering, ICAACE 2021

作者： Zhang, Jinghua Zhang, Yan Shi, Zhiguang Li, Biao Zhang, Yu Ling, Feng Suo, Yuchang Liu, Di National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Changsha410073 China

In this paper, a deep learning method based on polarization image is proposed. Firstly, the polarization characteristics of reflected light and transmitted light are analyzed by using the Fresnel's law. Then, based on the polarization characteristics that the reflected light is polarized in the perpendicular direction and the transmitted light is polarized in the parallel direction, the polarization images obtained from the parallel direction and the perpendicular direction are input into the Encoder-Decoder net at the same time, and the net is trained by L1 loss. The experimental results show that by combining the polarization information and deep learning method, the reflected component and transmitted component can be effectively separated. © Published under licence by IOP Publishing Ltd.

关键词： Light transmission

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Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 239-253页

作者： Yang Xiu Dongfang Li Miaomiao Zhang Hongbin Deng Rob Law Yun Huang Edmond Q.Wu Xin Xu the School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China the School of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Antai College of Economics&Management Shanghai Jiao Tong UniversityShanghai 200240China the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China the Asia-Pacific Academy of Economics and Management University of MacaoMacao 999078China the Department of Decision Science Macao University of Science and TechnologyMacao 999078China the Department of Automation Shanghai Jiao Tong Universityand also with the Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaShanghai 200240China the College of Mechatronics and Automation National University of Defense TechnologyChangsha 410073China IEEE

This paper presents a finite-time sideslip differentiator-based line-of-sight(LOS)guidance method for robust path following of snake ***,finite-time stable sideslip differentiator and adaptive LOS guidance method are proposed to counteract sideslip drift caused by cross-track *** proposed differentiator can accurately observe the cross-track error and sideslip angle for snake robots to avoid errors caused by calculating sideslip angle *** our method,the designed piecewise auxiliary function guarantees the finite-time stability of position ***,for the case of external disturbances and state constraints,a Barrier Lyapunov functionbased backstepping adaptive path following controller is presented to improve the robot’s *** uniform ultimate boundedness of the closed-loop system is proved by analyzing ***,a gait frequency adjustment-based virtual velocity control input is derived to achieve the exponential convergence of the tangential *** last,the availability and superiority of this work are shown through simulation and experiment results.

关键词： Line-of-sight(LOS) path following sideslip snake robot

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Learning-Based Model Predictive control for Vehicles with Modeling Bias 42

Learning-Based Model Predictive Control for Vehicles with Mo...

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42nd Chinese control Conference, CCC 2023

作者： Qi, Xudong Zhang, Libin Wang, Ping Han, Yu Lin, Wanquan School of Electronics and Control Engineering Chang'An University Xi'an710064 China School of Intelligent Systems Engineering Sun Yat-Sen University Shenzhen518107 China Guangdong Key Laboratory of Fire Science and Intelligent Emergency Technology Guangzhou528406 China

ISBN: (纸本)9789887581543

The dynamic uncertainty system has modeling bias, which has led to an increasing interest in learning-based model-driven control technology. In order to integrate the advantages of self-exploration of reinforcement learning (RL) and high robustness of model predictive control (MPC), we propose a learning-based model predictive control (LMPC) method. This algorithm is a method that can find the optimal control strategy under the guidance of simplified model and fuzzy cost function. The results show that taking vehicle motion control as an example. By adjusting the variable horizon, the vehicle model built can quickly and effectively achieve the control objectives. Compared with DDQN, LMPC reduces the disorder enumeration of RL, accelerates the optimization process of the control system to the target, and makes the exploration process more stable. Compared with MPC, it solves the problem that the control accuracy of the control system is not high and the model and parameters cannot be adjusted adaptively under the simplified modeling. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Model predictive control

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Security Issues and Defensive Approaches in Deep Learning Frameworks

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Tsinghua science and technology 2021年第6期26卷 894-905页

作者： Hongsong Chen Yongpeng Zhang Yongrui Cao Jing Xie Department of Computer Science University of Science and Technology Beijing(USTB)Beijing 100083China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing 100083China Department of Computer Science and Technology University of Science and Technology Beijing(USTB)Beijing 100083China Defense Electronics Institute China Industrial Control System Cyber Emergency Response TeamBeijing 100040China

Deep learning frameworks promote the development of artificial intelligence and demonstrate considerable potential in numerous ***,the security issues of deep learning frameworks are among the main risks preventing the wide application of *** on deep learning frameworks by malicious internal or external attackers would exert substantial effects on society and *** start with a description of the framework of deep learning algorithms and a detailed analysis of attacks and vulnerabilities in *** propose a highly comprehensive classification approach for security issues and defensive approaches in deep learning frameworks and connect different attacks to corresponding defensive ***,we analyze a case of the physical-world use of deep learning security *** addition,we discuss future directions and open issues in deep learning *** hope that our research will inspire future developments and draw attention from academic and industrial domains to the security of deep learning frameworks.

关键词： adversarial examples deep learning frameworks defensive approaches security issues

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Toward parallel intelligence: An interdisciplinary solution for complex systems

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The Innovation 2023年第6期4卷 152-164页

作者： Yong Zhao Zhengqiu Zhu Bin Chen Sihang Qiu Jincai Huang Xin Lu Weiyi Yang Chuan Ai Kuihua Huang Cheng He Yucheng Jin Zhong Liu Fei-Yue Wang College of Systems Engineering National University of Defense TechnologyChangsha 410073China Hunan Institute of Advanced Technology Changsha 410073China Shanghai Institute of Infectious Disease and Biosecurity Shanghai 200032China Institute of Epidemiology Helmholtz Zentrum Minchen-German Research Center for Environmental Health(GmbH)NeuherbergGermany Department of Computer Science Hong Kong Baptist UniversityHong KongChina State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling,analysis,management,and *** meet these demands,the parallel systems method rooted in the artificial systems,computational experiments,and parallel execution(ACP)approach has been *** method cultivates a cycle termed parallel intelligence,which iteratively creates data,acquires knowledge,and refines the actual *** the past two decades,the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines,offering vers atile interdisciplinary solutions for complex systems across diverse *** review explores the origins and fundamental concepts of the parallel systems method,showcasing its accomplishments as a diverse array of parallel technologies and applica-tions while also prognosticating potential *** posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.

关键词： execution artificial offering

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Spanning tree trajectory optimization in the galaxy space

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Astrodynamics 2021年第1期5卷 27-37页

作者： Tian-Jiao Zhang Dietmar Wolz Hong-Xin Shen Ya-Zhong Luo State Key Laboratory of Astronautic Dynamics Xi’an Satellite Control CenterXi’an 710043China University of Jena Jena 07737Germany National University of Defense Technology Changsha 410073China

The 10th edition of the Global Trajectory Optimization Competition considered the problem of the galaxy settlement wherein competitors from all over the world were expected to design the trajectories of different settler vessels to maximize the given multi-faceted merit *** synthesis methods used by the winning team,led jointly by the national University of defense technology(NUDT)and Xi’an Satellite control Center(XSCC),are described along with a greedy search method and the improved solution obtained by University of ***,we presented a layout-first topology-second approach that allows an efficient settlement tree search guided by the pre-specified ideal spatial *** also explained how the problem of constructing settlement trees can be modeled as the widely studied minimum spanning tree ***,University of Jena explored the possibility that a greedy search can generate even better settlement trees,based on the same initial conditions,when compared to that of the winning solution.

关键词： trajectory optimization Settlers of the Galaxy minimum spanning tree ant colony optimization greedy search

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