检索结果-内蒙古大学图书馆

2023 International Conference on Neuromorphic Computing, ICNC 2023

作者： Chao, Chengke Huang, Shengchao Lv, Yuezu Shan, Dan Beijing Institute of Technology School of Automation Beijing China Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing China Shenyang Jianzhu University School of Electrical and Control Engineering Liaoning China

ISBN: (纸本)9798350316889

This paper investigates the problem of specific-time state estimation for Lur'e systems with unknown inputs. By analyzing nonlinear Lur'e systems, sufficient conditions for the design of unknown input observers are provided. Then, a specific-time observer is designed, with convergence analysis illustrated. The main advantage of the designed observer can realize accurate estimation of Lur'e system in specific time. Finally, a simulation example of the third-order Chua's circuit is conducted to verify the validity of the proposed specific-time unknown input observer. © 2023 IEEE.

关键词： lur'e systems specific-time observer unknown input observer

来源：评论

学校读者我要写书评

暂无评论

Robust Consensus Tracking control of Uncertain Multi-Agent Systems With Local Disturbance Rejection

引用

IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 427-438页

作者： Pan Yu Kang-Zhi Liu Xudong Liu Xiaoli Li Min Wu Jinhua She the Faculty of Information Technology and the Beijing Institute of Artificial Intelligence Beijing University of TechnologyBeijing 100124China IEEE the Department of Electrical and Electronic Engineering Chiba UniversityChiba 263-8522Japan the Beijing Aerospace Automatic Control Institute Beijing 100854China the School of Automation China University of GeosciencesWuhan 430074China the School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan

In this paper,a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for a multi-agent system with heterogeneous dynamic uncertainties and disturbances over a directed *** is of two-degree-of-freedom ***,a robust distributed controller is designed for consensus tracking,while a local disturbance estimator is designed for each agent without requiring the input channel information of *** condition for asymptotic disturbance rejection is ***,even when the disturbance model is not exactly known,the developed method also provides good disturbance-rejection ***,a robust stabilization condition with less conservativeness is derived for the whole multi-agent ***,a design algorithm is ***,comparisons with the conventional one-degree-of-freedombased distributed disturbance-rejection method for mismatched disturbances and the distributed extended-state observer for matched disturbances validate the developed method.

关键词： Directed graph distributed control disturbance rejection dynamic uncertainties multi-agent systems robust control

来源：评论

学校读者我要写书评

暂无评论

CNS/INS Integrated Navigation Method Based on Improved Adaptive CKF Algorithm 49

CNS/INS Integrated Navigation Method Based on Improved Adapt...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wang, Dong Yang, Jing Xiong, Kai Li, Wenling School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350331820

Aiming at the problem that measurement model uncertainty restrains navigation accuracy in the celestial/ inertial (CNS/INS) integrated navigation system, a kind of CNS/INS integrated navigation method based on improved adaptive cubature Kalman filter (CKF) is proposed. In order to mitigate the influence of installation error and axis disturbance error of star camera, angular distance between starlight vector of stars and line of sight vector of space targets is employed to establish the measurement model;the measurement noise covariance matrix (MNCM) is estimated online to lower the model uncertainty;adaptive adjustment coefficient is constructed based on squared Mahalanobis distance (SMD) of measurement innovation to adjust forgetting factor online to further improve robustness and adaptability of the method. Simulation results demonstrate that the proposed method can achieve higher navigation accuracy compared to standard and classical method under measurement model mismatch. © 2023 IEEE.

关键词： Uncertainty analysis

来源：评论

学校读者我要写书评

暂无评论

Consensus-Based Aggregation control and Formation Tracking control for Fixed-Wing UAV Swarm System 7th

Consensus-Based Aggregation Control and Formation Tracking ...

引用

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Hao, Ze Yu, Jianglong Chen, Yang Hu, Yangxiu Dong, Xiwang Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Institute of Artificial Intelligence Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Shanghai Academy of Spaceflight Technology Shanghai201109 China

ISBN: (纸本)9789819733279

This paper investigates the problem of aggregation control and robust formation tracking control for the fixed-wing UAV swarm system after aggregation. Firstly, the dynamic models for aggregation control and formation tracking control of the fixed-wing UAV swarm system are established. Secondly, to solve the problem of large initial takeoff position deviation for multiple unmanned aerial vehicles, a consensus-based aggregation control algorithm is designed to converge the UAV swarm system to any position on a hovering circle to provide proper initial conditions for subsequent tasks. Thirdly, in the formation tracking control process, a nonlinear path tracking control algorithm is employed for leader UAV, and a formation tracking control algorithm based on leader-following navigation is designed for follower UAV swarm system. Finally, simulation results demonstrate that the proposed aggregation control algorithm enables rapid convergence of the UAV swarm system’s initial positions, and the designed formation tracking control achieves algorithm achieves fine formation tracking performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning

引用

IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 47-63页

作者： Yongliang Yang Zihao Ding Rui Wang Hamidreza Modares Donald C.Wunsch Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation&Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China School of Automation Beijng Institute TechnologyBeijing 100081China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Mechanical Engineering Department Michigan State UniversityEast LansingMI 48824 USA Department of Electrical&Computer Engineering Missouri University of Science&TechnologyRollaMO 65401 USA

In this paper,we present a novel data-driven design method for the human-robot interaction(HRI)system,where a given task is achieved by cooperation between the human and the *** presented HRI controller design is a two-level control design approach consisting of a task-oriented performance optimization design and a plant-oriented impedance controller *** task-oriented design minimizes the human effort and guarantees the perfect task tracking in the outer-loop,while the plant-oriented achieves the desired impedance from the human to the robot manipulator end-effector in the ***-driven reinforcement learning techniques are used for performance optimization in the outer-loop to assign the optimal impedance *** the inner-loop,a velocity-free filter is designed to avoid the requirement of end-effector velocity *** this basis,an adaptive controller is designed to achieve the desired impedance of the robot manipulator in the task *** simulation and experiment of a robot manipulator are conducted to verify the efficacy of the presented HRI design framework.

关键词： Adaptive impedance control data-driven method human-robot interaction(HRI) reinforcement learning velocity-free

来源：评论

学校读者我要写书评

暂无评论

Positioning Method for Covered Vehicles Based on Neutrino Detection and Reinforcement Learning 3

Positioning Method for Covered Vehicles Based on Neutrino De...

引用

3rd International Conference on Electronic Information Engineering and Computer, EIECT 2023

作者： Han, Mingren Gao, Jiashan Zhou, Peng Zhang, Yixin Beijing Institute of Control Engineering China Academy of Space Technology Beijing China Beihang University School of Automation Science and Electrical Engineering Beijing China

ISBN: (纸本)9798350357707

In complex environments like underwater or underground, traditional navigation technologies face limitations due to the restricted penetration of optical and radio signals. Neutrino signals, which have extremely strong penetration capabilities, offer a new possibility. This study explores the challenges of navigation and positioning of covered vehicles and proposes a neutrino-based navigation and positioning technology to overcome the limitations of traditional navigation technologies in complex environments. This research combines reinforcement learning methods and Kalman filters, using the Proximal Policy Optimization (PPO) algorithm to tune the parameters of the Kalman filter to improve navigation and positioning accuracy. In the study, a Kalman filter estimation system model for vehicles in navigation signal denied environment environments was first established, then a navigation and positioning method based on neutrino detection was designed, and finally, a parameter adaptive PPO Extended Kalman Filter (PPOEKF) state estimation method was proposed. Through mathematical simulation and comparative analysis, the research results show that using reinforcement learning methods to tune the parameters of the Kalman filter can improve the accuracy of navigation and positioning, especially in complex environments. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Design and research of hydraulic support self-power supply system based on hydraulic motor power generation 6

Design and research of hydraulic support self-power supply s...

引用

6th International Conference on Energy, Power and Grid, ICEPG 2024

作者： Zhang, Xin Wang, Peng Zhang, Luhong Ren, Wei College of Mechanical and Electronic Engineering Shandong University of Science and Technology Shandong Qingdao266590 China Institute of Electrical Automation Ccteg Beijing Tianma Intelligent Control Technology CO. Ltd Beijing101399 China

ISBN: (纸本)9798350377798

At present, the underground coal mine power supply environment is very complicated, electronic equipment is constantly put into use, and the safety of coal mine power supply is becoming increasingly serious. In order to realize the lightweight power supply of low-power electrical appliances for the hydraulic bracket in the underground coal mine, and improve the underground power supply environment, a set of hydraulic bracket self-power supply system has been designed. The basic design principle of the system, the design of each module are introduced in detail and the field industrial test is carried out. Through the data analysis of the energy loss of the system, the input and output parameters of the battery, as well as the thermal runaway analysis of the battery, it is determined that the system can achieve a stable power supply to the electrical appliances;the system has a high degree of integration, strong maintainability, and provides a safety guarantee for the power supply of low-power electrical appliances of the hydraulic bracket in the underground mine. © 2024 IEEE.

关键词： Hydraulic motors

来源：评论

学校读者我要写书评

暂无评论

A new Interleaved Full-Bridge Converter for AC battery 12

A new Interleaved Full-Bridge Converter for AC battery

引用

12th IEEE International Conference on control, automation and Information Sciences, ICCAIS 2023

作者： Do, Tuan Anh Le, Quang Nghia Nguyen, Thang Long Dich, Nguyen Quang Hoang, Phuong Vu Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam Hanoi University of Science and Technology Institute for Control Engineering and Automation Hanoi Viet Nam

ISBN: (纸本)9798350328783

Home battery storage systems using Second-life time batteries (SLBs) are of recent research interest for resilient homes. The AC Battery is chosen for this application due to its flexibility, in which the Interleaved Full Bridge (IFB) converter is studied in this paper for the Power Correction Factor (PFC) stage. The pulse width modulation and control strategy are introduced for the IFB converter in this research. To verify the operation and the feasibility of the proposed structure in the grid-tied mode, a real-time simulation is carried out with the results meeting a good agreement with the theoretical analyst. © 2023 IEEE.

关键词： Electric power factor correction

来源：评论

学校读者我要写书评

暂无评论

An aircraft brake control algorithm with torque compensation based on RBF neural network

引用

Chinese Journal of Aeronautics 2024年第1期37卷 438-450页

作者： Ning BAI Xiaochao LIU Juefei LI Zhuangzhuang WANG Pengyuan QI Yaoxing SHANG Zongxia JIAO School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100191China Key Laboratory of Advanced Aircraft Systems(Beihang University) Ministry of Industry and Information TechnologyBeijing 100091China Research Institute for Frontier Science Beihang UniversityBeijing 100191China Ningbo Institute of Technology of Beihang University Ningbo 315800China Tianmushan Laboratory Xixi Octagon CityYuhang DistrictHangzhou 310023China

The wheel brake system of an aircraft is the key to ensure its safe landing and rejected takeoff.A wheel’s slip state is determined by the brake torque and ground adhesion torque,both of which have a large degree of *** is this nature that brings upon the challenge of obtaining high deceleration rate for aircraft brake *** overcome the disturbances caused by the above uncertainties,a braking control law is designed,which consists of two parts:runway surface recognition and wheel’s slip state *** runway surface recognition,the identification rules balancing safety and braking efficiency are defined,and the actual identification process is realized through recursive least square method with forgetting *** slip state tracking,the LuGre model with parameter adaptation and a brake torque compensation method based on RBF neural network are proposed,and their convergence are *** effectiveness of our control law is verified through simulation and ground *** in the experiments on the ground inertial test bench,compared to the improved pressure-biased-modulation(PBM)anti-skid algorithm,fewer wheel slips occur,and the average deceleration rate is increased by 5.78%,which makes it a control strategy with potential for engineering applications.

关键词： Aircraft landing Brakes Disturbance observer Neural networks Runway identification

来源：评论

学校读者我要写书评

暂无评论

Multi-objective Optimal Operation of Centralized Battery Swap Charging System with Photovoltaic

引用

Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 149-162页

作者： Yuanzheng Li Yihan Cai Tianyang Zhao Yun Liu Jian Wang Lei Wu Yong Zhao School of Artificial Intelligence and Automation Ministry of Education Key Laboratory of Image Processing and Intelligence ControlHuazhong University of Science and TechnologyWuhanChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore College of Mechatronics and Control Engineering Shenzhen UniversityShenzhenChina Department of Electrical&Computer Engineering Stevens Institute of TechnologyHobokenUSA

Electric vehicles(EVs)are widely deployed throughout the world,and photovoltaic(PV)charging stations have emerged for satisfying the charging demands of EV *** paper proposes a multi-objective optimal operation method for the centralized battery swap charging system(CBSCS),in order to enhance the economic efficiency while reducing its adverse effects on power *** proposed method involves a multi-objective optimization scheduling model,which minimizes the total operation cost and smoothes load fluctuations,***,we modify a recently proposed multi-objective optimization algorithm of non-sorting genetic algorithm III(NSGA-III)for solving this scheduling ***,simulation studies verify the effectiveness of the proposed multi-objective operation method.

关键词： Multi-objective optimization electric vehicle battery swap charging system scheduling photovoltaic

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：