检索结果-内蒙古大学图书馆

Meta-Learning Online Control for Linear Dynamical Systems

IEEE Transactions on Automatic Control 2025年第6期70卷 4163-4169页

作者： Muthirayan, Deepan Kalathil, Dileep Khargonekar, Pramod P. University of California Irvine Department of Electrical Engineering and Computer Sciences IrvineCA United States Texas A&M University Department of Electrical and Computer Engineering United States

In this paper, we consider the problem of finding a meta-learning online control algorithm that can learn across the tasks when faced with a sequence of N (similar) control tasks. Each task involves controlling a linear dynamical system for a finite horizon of T time steps. The cost function and system noise at each time step are adversarial and unknown to the controller before taking the control action. Meta-learning is a broad approach where the goal is to prescribe an online policy for any new unseen task exploiting the information from other tasks and the similarity between the tasks. We propose a meta-learning online control algorithm for the control setting and characterize its performance by meta-regret, the average cumulative regret across the tasks. We show that when the number of tasks are sufficiently large, our proposed approach achieves a meta-regret that is smaller by a factor D/D∗ compared to an independent-learning online control algorithm which does not perform learning across the tasks, where D is a problem constant and D∗ is a scalar that decreases with increase in the similarity between tasks. Thus, when the sequence of tasks are similar the regret of the proposed meta-learning online control is significantly lower than that of the naive approaches without meta-learning. We also present experiment results to demonstrate the superior performance achieved by our meta-learning algorithm. © 1963-2012 IEEE.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Electromagnetic Interference on Unmanned Aerial Vehicles (UAVs): A Case Study of High Power Transmission Line Impacts

引用

IEEE Transactions on Transportation Electrification 2025年第3期11卷 7501-7513页

作者： Salehi Rad, Shervin Zheng, Zilong Kheirollahi, Reza Mostafa, Amr Zhao, Shuyan Wang, Yao Chevinly, Javad Nadi, Elias Bensala, Tarik Zhang, Hua Friedman, Gary Lu, Fei Drexel University Department of Electrical and Computer Engineering PhiladelphiaPA19104 United States Lehigh University Department of Electrical and Computer Engineering BethlehemPA18015 United States

Nowadays, unmanned aerial vehicles (UAVs) play a significant role in transmission line inspection. This article focuses on the inertial measurement unit (IMU) as a critical component to study the impacts of electromagnetic interference. A case study is conducted by selecting 500-kV/25-kA 60-Hz transmission lines as sources of strong electromagnetic fields and investigates their influences on an IMU unit and operation of an UAV. An experimental testing methodology is proposed to explore the impacts of magnetic and electric fields separately. A high-power inverter-based testing platform is implemented to excite a 2.2-kA planar coil and a 7.5-kA solenoid coil to generate magnetic fields and emulate high current impacts from transmission lines. Meanwhile, a pair of metal plates are adopted to generate a 2-kV/m electric field and study the high-voltage impacts. Multiple long-time continuous testings of the DJI Marvic 2 drone have been conducted in the generated magnetic and electric fields. It validates that the onboard magnetometer is sensitive to magnetic fields, while other sensors remain immune to both magnetic and electric fields, at least up to 3100 μT and 2 kV/m, respectively. © 2015 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Neural Network-Based Indirect Adaptive Force Control of a Two-Fingered Hand Exoskeleton Toward Robust Grasping Assistance

引用

IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3614-3629页

作者： Halder, Kaushik Roy, Arnab Felix Orlando, M. Indian Institute of Technology Roorkee Advanced Robotics Laboratory Department of Electrical Engineering Roorkee247667 India Indian Institute of Technology Roorkee Department of Electrical Engineering Roorkee247667 India

Grasping task is one of the crucial objectives in activities of daily living. However, elderly human subjects are facing significant challenges when attempting to perform grasping task. In this regard, a hand exoskeleton with a proper force control strategy is necessary to improve the performance of assistive technology. In this article, a lightweight, size-adjustable, underactuated, and force-controllable two-fingered exoskeleton prototype is developed for grasping assistance. A novel radial basis function network-based indirect adaptive force controller for robust grasping assistance is proposed along with the prototype design. We have conducted real-time grasping experiments on six elderly human subjects to verify the feasibility of the developed exoskeleton with a novel grasping force control strategy. Furthermore, we have performed force trajectory tracking experiment to validate the efficacy of the proposed force control scheme. Moreover, the robustness of the proposed grasping force control strategy has been validated through a disturbance rejection experiment. Extensive simulation and experimental studies with the developed kinematic model and feasibility tests involving elderly human subjects show that the newly developed hand exoskeleton with the proposed robust intelligent control strategy is efficient for object-grasping tasks aimed at the assistance of elderly human subjects. © 2025 IEEE.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

Harnessing metamaterials for efficient wireless power transfer for implantable medical devices

引用

Bioelectronic Medicine 2024年第1期10卷 1-8页

作者： Mahmud, Sultan Nezaratizadeh, Ali Satriya, Alfredo Bayu Yoon, Yong-Kyu Ho, John S. Khalifa, Adam Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore

Wireless power transfer (WPT) within the human body can enable long-lasting medical devices but poses notable challenges, including absorption by biological tissues and weak coupling between the transmitter (Tx) and receiver (Rx). In pursuit of more robust and efficient wireless power, various innovative strategies have emerged to optimize power transfer efficiency (PTE). One such groundbreaking approach stems from the incorporation of metamaterials, which have shown the potential to enhance the capabilities of conventional WPT systems. In this review, we delve into recent studies focusing on WPT systems that leverage metamaterials to achieve increased efficiency for implantable medical devices (IMDs) in the electromagnetic paradigm. Alongside a comparative analysis, we also outline current challenges and envision potential avenues for future advancements. © The Author(s) 2024.

关键词： Metamaterials

来源：评论

学校读者我要写书评

暂无评论

A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data

引用

IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2220-2235页

作者： Jiufang Chen Kechen Liu Xin Luo Ye Yuan Khaled Sedraoui Yusuf Al-Turki MengChu Zhou IEEE the College of Computer Science and Technology Chongqing University of Posts and Telecommunications the Department of Computer Science Columbia University the College of Computer and Information Science Southwest University the Department of Electrical and Computer Engineering Faculty of Engineeringand also with K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University the Center of Research Excellence in Renewable Energy and Power Systems the Department of Electrical and Computer EngineeringFaculty of Engineeringand also with K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University the Department of Electrical and Computer Engineering New Jersey Institute of Technology

High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation learning to an HDI matrix,whose hyper-parameter adaptation can be implemented through a particle swarm optimizer(PSO) to meet scalable ***, conventional PSO is limited by its premature issues,which leads to the accuracy loss of a resultant LFA model. To address this thorny issue, this study merges the information of each particle's state migration into its evolution process following the principle of a generalized momentum method for improving its search ability, thereby building a state-migration particle swarm optimizer(SPSO), whose theoretical convergence is rigorously proved in this study. It is then incorporated into an LFA model for implementing efficient hyper-parameter adaptation without accuracy loss. Experiments on six HDI matrices indicate that an SPSO-incorporated LFA model outperforms state-of-the-art LFA models in terms of prediction accuracy for missing data of an HDI matrix with competitive computational ***, SPSO's use ensures efficient and reliable hyper-parameter adaptation in an LFA model, thus ensuring practicality and accurate representation learning for HDI matrices.

关键词： Data science generalized momentum high-dimensional and incomplete(HDI)data hyper-parameter adaptation latent factor analysis(LFA) particle swarm optimization(PSO)

来源：评论

学校读者我要写书评

暂无评论

Joint Optimization of UAV Trajectory, Task Offloading, and Resource Allocation in UAV-Aided Emergency Response Operations

引用

IEEE Internet of Things Journal 2025年第12期12卷 21944-21959页

作者： Akter, Shathee Duong, Dat Van Anh Yoon, Seokhoon University of Ulsan Department of Electrical Electronic and Computer Engineering Korea Republic of

In emergency response operations, the role of unmanned aerial vehicles (UAVs) has become vital for performing tasks such as human detection. However, these tasks are computationally intensive, and UAVs have limited resources. Therefore, fixed-wing UAV mother-ships with edge servers (UMECs), which usually have more speed and payload capacity than rotary-wing UAVs, can be deployed near UAV scouts (generate the tasks) to provide processing services. However, the design of fixed-wing UAVs requires adherence to a minimum turning radius, which limits maneuverability and impacts both energy consumption and task execution time, thus necessitating careful trajectory planning. Furthermore, UMECs may lack the capacity to process all types of tasks due to memory restrictions and require both central processing units and graphics processing units for faster execution of tasks. Therefore, this paper aims to minimize the energy consumption in the network and task execution time by jointly optimizing the trajectory of UMECs, task offloading, and resource allocation (TTR) problem while taking into account UMECs movement constraints, task performance limitations, and computational resource budgets. In this regard, we first propose a particle swarm optimization (PSO)-based TTR scheme (P-TTR), where a PSO algorithm finds the trajectory solution, and a block coordinate descent-based method is developed to solve the task offloading and resource allocation problem. Then, for real-time decision-making, a deep reinforcement learning-based algorithm, namely soft-actor-critic-based TTR (S-TTR), is introduced to address the problem, which can adapt to dynamic environments and have lower computational overhead. Simulation results confirm that the proposed approaches can outperform the baseline method. © 2014 IEEE.

关键词： Fixed wings

来源：评论

学校读者我要写书评

暂无评论

Connected Lane Merge System Through Driving Trajectory Sharing Based on 5G-NR-V2X

引用

Journal of Institute of Control, robotics and Systems 2024年第4期30卷 492-499页

作者： Kim, Kana Mun, Giyoung Lee, Gyuseok Kim, Dayoung Kim, Hakil Department of Electrical and Computer Engineering Inha University Korea Republic of

This study aims to verify the reliability of Vehicle-to-Everything (V2X) communication systems for improving safety in advanced driving scenarios. Current autonomous driving systems that rely on sensors such as GPS or LiDAR have limitations. Additionally, slight delays when changing lanes can cause traffic congestion. Connected autonomous vehicles can solve this problem by exchanging driving data and controlling movements through 5G New Radio V2X (5G-NR-V2X) communication. In this study, 5G-NR-V2X is utilized to facilitate trajectory sharing as well as driving information exchange. Sharing driving trajectories can allow the proactive management of risks due to lane merging and increase maneuvering efficiency. Comparing the proposed method with experiments using LiDAR sensors revealed similar performance, and the former was more cost-effective. This study reveals how connected driving through trajectory sharing can alleviate problems related to road congestion and transportation efficiency. © ICROS 2024.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Analysis and Optimization of Boost Converter Parameters in Internal Model Control for Voltage Source Converter-based AC Microgrids

引用

CSEE Journal of Power and Energy Systems 2024年第5期10卷 2038-2054页

作者： Chiebuka Eyisi Qifeng Li Department of Electrical and Computer Engineering University of Central FloridaOrlandoFL 32816 USA.

This paper investigates integration of distributed energy resources(DERs)in microgrids(MGs)through two-stage power conversion structures consisting of DC-DC boost converter and DC-AC voltage source converter(VSC)*** contrast to existing investigations that treated DC-link voltage as an ideal constant voltage,this paper considers the non-ideal dynamic coupling between both subsystems for completeness and higher accuracy,which introduces additional DC-side dynamics to the *** analysis shows parameters of the boost converter’s power model that impact stability through the *** selecting these parameters can mitigate this effect on stability and improve dynamic performance across the ***,an optimization framework is developed to facilitate in selecting adequate boost converter parameters in designing a stable voltage source converter-based microgrid(VSC-MG).The developed optimization framework,based on particle swarm optimization,considers dynamic coupling between both subsystems and is also effective in avoiding inadequate boost converter parameters capable of propagating instability through the DC-link to the *** are performed with MATLAB/Simulink to validate theoretical analyses.

关键词： AC microgrid boost converter dead-time droop control internal model control particle swarm optimization small-signal analysis time delay virtual impedance voltage source converter

来源：评论

学校读者我要写书评

暂无评论

Kalman Filter based Image Re-selection: Handling Collinear and High Co-visibility Situations in Image Retrieval based Visual Localization

引用

Journal of Institute of Control, robotics and Systems 2024年第9期30卷 954-959页

作者： Mun, Giyoung Kim, Hakil Department of Electrical and Computer Engineering Inha University Korea Republic of

Autonomous driving systems must maintain consistent position estimation across various environments. However, conventional GPS-based position estimation technologies often yield inaccurate results in environments with weak signal reception, necessitating alternative solutions. Image retrieval based visual localization, unaffected by radio wave conditions, presents a robust alternative for accurate position estimation. Image retrieval, widely utilized in visual localization research, typically calculates precise positions by incorporating relative poses. However, accuracy may diminish in collinear and high co-visibility scenarios, requiring supplementary approaches. This paper proposes a method to overcome collinear and high co-visibility situations encountered in image retrieval. The proposed method applies retrieval results to a Kalman filter based system. Compared to conventional methods, the proposed approach demonstrated an average improvement of 11.12 meters in GPS error. © ICROS 2024.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

A Farewell and a New Special Issue

引用

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 2024年第4期12卷 4-5页

作者： Gamba, Paolo Department of Electrical Biomedical and Computer Engineering University of Pavia Pavia Italy

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：