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11th China Conference on Command and control, C2 2023

作者： Peng, Siting Jun, Ren lei, Li Ma, Yichao Yang, Yanjiao Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819990207

In this paper, the engineering problems in scene matching positioning system are studied, according to the scene matching positioning of satellite under the condition of denial, establish a volume of physical model, kalman filtering method of indirect filtering residual envelope method is adopted to improve the mismatching points out and jumping back and forth, filtering results using backtracking method to solve the problem of less The precise positioning of the aircraft's own position under the condition of satellite rejection is realized, so as to achieve accurate guidance and strike to the target. The simulation results show that the method described in this paper is effective and has good academic and engineering significance. © Chinese institute of Command and control 2024.

关键词： Kalman filters

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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced control Applications

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 18-36页

作者： Ding Wang Ning Gao Derong Liu Jinna Li Frank L.Lewis IEEE the Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protectionand Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China the School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China the Department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA the School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China the UTA Research Institute the University of Texas at ArlingtonArlington TX 76118 USA

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, ***, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation ***, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

关键词： Adaptive dynamic programming(ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning(RL)

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Terminal Guidance Law Design for Compound control Missile Based on Time-Delay control Theory 3rd

Terminal Guidance Law Design for Compound Control Missile Ba...

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Zhao, Hui Xu, Cheng Pei, Yuxiao Hu, Ying Institute of Mechanical and Electrical Engineering Beijing100072 China Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100072 China

ISBN: (纸本)9789819711062

This paper proposes a new terminal guidance law based on zeroing line of sight rate using time delay control theory and back-stepping method. Firstly, the plane guidance model of the compound control missile is established accounting for dynamic characteristics of double actuator, where the unknown interferences such as target maneuver, time-varying relative velocity and parameter perturbation, constitute the system unmatched uncertain parts. Secondly, the guidance law is proposed by introducing the time delay control theory into the solution of terminal guidance, estimating target maneuver and accurate compensation of subsystems at each layer. Then the closed-loop stability of the whole system is demonstrated by giving the basis of parameter selection in the second half of this paper. Finally, the simulation analysis is carried out under the scenario of air targets with large maneuvering. The guidance law can independently estimate target maneuverability, verifying the correctness and effectiveness of combating unknown interfere systems. © beijing HIWING Scientific and Technological Information institute 2024.

关键词： Time delay

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Adaptive Fixed-Time Attitude Tracking control in Reentry Phase for Reusable Launch Vehicle 20

Adaptive Fixed-Time Attitude Tracking Control in Reentry Pha...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Qu, Guoxin Zhang, Litao Zhang, Xige Harbin Institute of Technology School of Astronautics Heilongjiang Harbin China Beijing Institute of Control and Electronic Technology Beijing China Beijing Institute of Astronautical System Engineering Beijing China

ISBN: (纸本)9798350320831

An adaptive fixed-time control method is proposed for reusable launch vehicles (RLV) subject to full state constraints, input saturation, dynamic coupling, parameter uncertainty and disturbance. By using the back-stepping control technique, an integrated adaptive fixed-time control law is designed, which combines the tan barrier Lyapunov function (BLF) to deal with the full-state constraints. At the same time, parameter uncertainty, unknown dynamic coupling, and perturbations are effectively attenuated by using adaptive estimation techniques and the designed saturation compensator effectively reduces the adverse effects caused by input saturation. Finally, six-degree-of-freedom simulation proves the advantages and effectiveness of the designed adaptive fixed-time control method. © 2023 IEEE.

关键词： Lyapunov functions

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SAR Image Registration Based on Feature Points Using Improved CSP-DenseNet 6

SAR Image Registration Based on Feature Points Using Improve...

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6th IEEE International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2023

作者： Wang, Ziwei Yang, Yanjiao Qu, Guangzhou Chi, Qingxi Beijing Electro-Mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (纸本)9798350325485

Synthetic aperture radar (SAR) image registration is widely used in integrated navigation system with development of guidance system in sensors and other applications. However, there exists some difficulty because of the quality and imaginary principle of SAR images. In this article, a brand-new method based on feature points using improved CSP-DenseNet is proposed to solve the problems of SAR image registration with weak and noisy texture. Deep features of interest points in SAR images are extracted using the proposed network from the crops of search image and template image respectively. The method has an advantage of preserving abundant feature information in SAR images under the influence of insufficient image information and noise of SAR images. The CSP-DenseNet architecture has a cross-stage construction optimizing fused by CSP-Net and DenseNet to extract matching features. The network is partially connected in specific convolutional layers for feature reusing and computation resources saving. Then, Brute Force Matcher and RANSAC voting are successively applied for a larger number of matching pairs and high-precise matching vertexes. Experimental results on various SAR image matching methods show that the proposed method provides better performance than other approaches compared. © 2023 IEEE.

关键词： Synthetic aperture radar

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New Impact-Time-control Guidance Law for Maneuvering Targets with Field-of-View Constraint 42

New Impact-Time-Control Guidance Law for Maneuvering Targets...

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42nd Chinese control Conference, CCC 2023

作者： Yuru, Bin Hui, Wang Kaiyang, Guo Xin, Dai Haorui, Yang School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Beijing Key Laboratory of Uav Autonomous Control Beijing100081 China Beijing Institute of Electronic System Engineering Beijing100854 China

ISBN: (纸本)9789887581543

In this paper, a novel guidance law aimed at intercepting targets of various motion forms with impact time and additional field-of-view (FOV) constraints is investigated. The polynomial function in range domain is designed to derive the guidance command in new-defined virtual relative frame, and the function of seeker's virtual FOV is introduced in the form of additional feedback term to achieve simultaneous constraints on impact time and FOV. Compared with existing methods based on numerical routines with open-loop formulations, the proposed guidance method has the potential to gain better performance in practical applications due to its analytical solution. The availability and practicability of the guidance method are demonstrated by simulations in various combat scenarios. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Numerical methods

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Uncovering Microstructure-Property Relationship in Ni-Alloyed Fe-Mn-Al-C Low-Density Steel Treated by Hot-Rolling and Air-Cooling Process

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Acta Metallurgica Sinica(English Letters) 2024年第4期37卷 713-725页

作者： Xiaoliang Jia Guhui Gao Xiaolu Gui Chun Feng R.D.K.Misra Bingzhe Bai School of Mechanical Electronicand Control EngineeringBeijing Jiaotong UniversityBeijing100044China CNPC Tubular Goods Research Institute Xi’an710077China Laboratory for Excellence in Advanced Steel Research University of Texas at El PasoEl PasoTX79968-0521USA School of Material Science and Engineering Key Laboratory of Advanced Materials of Ministry of EducationTsinghua UniversityBeijing100084China

This paper focuses on the relationship between the microstructure and tensile properties of Fe-Mn-Al-C low-density high-strength steel processes by hot-rolling and air-cooling process. The microstructure analysis reveals that the combination of hot-rolling and air-cooling results in the formation of heterogeneous structures comprising different-sized γ and B_(2) phases in the low-density steel with the addition of nickel (Ni). The addition of Ni promotes the formation of the B_(2) phase and induces the pinning of B_(2) phase particles at the γ grain boundaries. This pinning effect effectively hinders the growth of the γ grains, leading to grain refinement. The tensile test results demonstrate that LDS-5Ni (low-density steel, LDS) exhibits excellent high strength and ductility combination, e.g., a tensile strength of 1535 MPa, yield strength of 1482 MPa, and elongation of 23.3%. These remarkable mechanical properties are primarily attributed to the combined strengthening contributions of grain refinement and duplex nano-sized second-phase precipitation hardening.

关键词： Low-density steel Microstructure B_(2)phase κ-Carbide Tensile properties

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On convergence of covariance matrix of empirical Bayes hyper-parameter estimator

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control Theory and Technology 2024年第2期22卷 149-162页

作者： Yue Ju Biqiang Mu Tianshi Chen School of Data Science and Shenzhen Research Institute of Big Data The Chinese University of Hong KongShenzhenShenzhen518172GuangdongChina Division of Decision and Control Systems School of Electrical Engineering and Computer ScienceKTH Royal Institute of Technology10044StockholmSweden Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and System ScienceChinese Academy of SciencesBeijing100190China

Regularized system identification has become the research frontier of system identification in the past *** related core subject is to study the convergence properties of various hyper-parameter estimators as the sample size goes to *** this paper,we consider one commonly used hyper-parameter estimator,the empirical Bayes(EB).Its convergence in distribution has been studied,and the explicit expression of the covariance matrix of its limiting distribution has been ***,what we are truly interested in are factors contained in the covariance matrix of the EB hyper-parameter estimator,and then,the convergence of its covariance matrix to that of its limiting distribution is *** general,the convergence in distribution of a sequence of random variables does not necessarily guarantee the convergence of its covariance ***,the derivation of such convergence is a necessary complement to our theoretical analysis about factors that influence the convergence properties of the EB hyper-parameter *** this paper,we consider the regularized finite impulse response(FIR)model estimation with deterministic inputs,and show that the covariance matrix of the EB hyper-parameter estimator converges to that of its limiting ***,we run numerical simulations to demonstrate the efficacy of ourtheoretical results.

关键词： Regularized system identification Hyper-parameter estimator Empirical Bayes Convergence of covariance matrix

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Thermal Performance Comparisons of Different Spacer Structures in Double-Sided Cooling Power Modules

Thermal Performance Comparisons of Different Spacer Structur...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Yan, Yiyang Liu, Baihan Zhang, Yifan Liu, Jiaxin Chen, Cai Kang, Yong Chen, Haiyan Jin, Zhaosheng Yang, Lei Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Aecc Aero Engine Control System Institute Beijing China Beijing Institute of Precision Mechatronics and Controls Beijing China

ISBN: (纸本)9798350316445

The thermal performance of double-sided cooling (DSC) power module is influenced by different spacer structures. In this paper, thermal performance improvement principles of different kinds of spacer structures are described qualitatively and thermal performance of these structures are analyzed by finite element method (FEM) quantitatively. Both Expanding spacer area and connecting low temperature areas to high-temperature areas by thermal conductor are effective methods to improve overall thermal performance. Structure with spacer under the bare die have the best thermal performance among these structures due to larger heat conduction area. Furtherly, transient dual interface method is utilized to measure the thermal resistance of different structures. The body diode electrical characteristic is chosen as the temperature sensitive electrical parameter. © 2023 IEEE.

关键词： double-sided cooling power module spacer thermal performance

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Method for Evaluating the Performance of Aircraft Collaborative Decision-Making Based on Dynamic Bayesian Network

Method for Evaluating the Performance of Aircraft Collaborat...

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2024 International Conference on electronics and Devices, Computational science, ICEDCS 2024

作者： Zhang, Wenbo Yu, Boxiao Tong, Jiahui Li, Jing Beijing Electro-Mechanical Engineering Institute National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Beijing China Beijing Institute of Technology School of Computer Science and Technology Beijing China

ISBN: (纸本)9798331527624

This research addresses the challenge of assessing equipment decision-making effectiveness in environments characterized by uncertainty and multiple influencing factors. We propose a novel approach involving the creation and optimization of a dynamic Bayesian network-based model tailored for equipment decision-making processes. The model facilitates a systematic evaluation of decision-making effectiveness by incorporating various factors, including equipment performance, environmental conditions, and enemy defensive capabilities. A comprehensive assessment system has been developed to simulate the penetration capabilities of different equipment through enemy defenses. Moreover, this study identifies potential errors in the effectiveness evaluation model by analyzing its performance in typical scenarios, pinpointing areas for enhancement. © 2024 IEEE.

关键词： Decision-making Dynamic Bayesian networks Equipment Simulation Uncertainty Management

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