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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Shyam Sundar Kannan Vishnunandan L. N. Venkatesh Revanth Krishna Senthilkumaran Byung-Cheol Min Department of Computer and Information Technology SMART Lab Purdue University West Lafayette IN USA Department of Computer and Information Technology SMART Lab Purdue University School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for InspEction through Demonstration, which utilizes a demonstrated trajectory to generate a new trajectory to inspect other structures of the same kind. The demonstrated trajectory can inspect specific regions of the structure and the new trajectory generated by UPPLIED inspects similar regions in the other structure. The proposed method generates inspection points from the demonstrated trajectory and uses standardization to translate those inspection points to inspect the new structure. Finally, the position of these inspection points is optimized to refine their view. Numerous experiments were conducted with various structures and the proposed framework was able to generate inspection trajectories of various kinds for different structures based on the demonstration. The trajectories generated match with the demonstrated trajectory in geometry and at the same time inspect the regions inspected by the demonstration trajectory with minimum deviation. The experimental video of the work can be found at https://***/YqPx-cLkv04.

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Secure Solar Forecasting: Deep Learning Approaches for Cyber Attacks Detection and Mitigation

Secure Solar Forecasting: Deep Learning Approaches for Cyber...

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smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Ahmed Abughali Mohamad Alansari Ameena S. Al-Sumaiti Mohamed S. El Moursi APEC Electrical Engineering Department Smart OR Lab Khalifa University Abu Dhabi UAE Computer Science Department Khalifa University Abu Dhabi UAE APEC Electrical Engineering Department Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350368864

ISBN: (纸本)9798350368871

Due to the increasing integration of solar energy into the energy infrastructure, solar power forecasting has become an attractive target for malicious attackers. However, existing studies in the literature primarily focus on detecting a single type of cyber attack, namely False Data Injection Attacks (FDIAs), and they lack recovery approaches. This paper proposes two deep learning-based security schemes: a two-stage detection approach and a mitigation approach. The proposed schemes are designed to accurately detect and recover stealthy FDIAs and Denial of Service (DoS) attacks. The first stage in the detection model determines whether the sample has been attacked, while the second stage categorizes the type of attack if an attack is present. After identifying the attack type, the proposed mitigation model recovers the corrupted measurements. For comparative analysis, the performance of three different deep learning models is evaluated for both tasks: detection and mitigation. The proposed models are tested utilizing a real Global Horizontal Irradiance (GHI) dataset collected from Abu Dhabi between 2017 and 2019. The two-stage detection approach yielded significantly better results than tackling the problem directly as a multi-class classification task. Specifically, the best-performing two-stage detection model, the Long Short Term Memory (LSTM) model, showed an average improvement of 6.52% across the Area Under the Curve (AUC). Additionally, the best-performing proposed mitigation method, LSTM, substantially recovered the corrupted measurements by 92.53% for FDIAs and 99.62% for DoS attacks.

关键词： Deep learning Prevention and mitigation Noise Solar energy Internet Security Noise measurement Forecasting Cyberattack Long short term memory

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Gain and Impedance Bandwidth Enhancement of a Loop Antenna for X-Band Applications

Gain and Impedance Bandwidth Enhancement of a Loop Antenna f...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： Sagiru Gaya Mohamed Saeed AlShehhi Khaled Al-Wahedi Mohammed A. Abou-Khousa Department of Electrical Engineering and Computer Science Khalifa University of Science and Technology Abu Dhabi UAE smart sensing lab (SSL) Khalifa University of Science (KU)

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

This paper presents the new design for a rectangular loop antenna (RLA) with enhanced impedance bandwidth and realized gain. The newly proposed RLA includes a truncated rectangular loop and two parasitic elements positioned on either side of the loop, strategically employed to enhance bandwidth. Additionally, to concentrate radiated power, a metallic sheet is positioned beneath the antenna at a distance of 3.35 mm. Through simulations, the study illustrates that the suggested design achieves a notable 60% improvement in bandwidth and a gain enhancement of approximately 6.6 dBi. The antenna operates within the frequency range of 10.2 GHz to 11.7 GHz, achieving a maximum gain of 11 dBi at a resonance frequency of 11 GHz. Given its performance in the X-band frequency range, the proposed RLA emerges as a promising candidate for applications such as synthetic aperture radar (SAR) imaging.

关键词： Antenna measurements Resonant frequency Loop antennas Bandwidth Resonance Radar polarimetry Frequency measurement

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Truncation Based Reduction of Interconnected Hybrid Power System

Truncation Based Reduction of Interconnected Hybrid Power Sy...

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International Conference on Power Electronic Drives

作者： V. P. Sharma Akhilesh Mathur V. P. Singh Krishna Murari Mrityunjay Kumar Mishra Ameena Saad Al-Sumaiti Department of Electrical Engineering Malaviya National Institute of Technology Jaipur Rajasthan India Electrical Engineering and Computer Science Department The University of Toledo Toledo Ohio USA EECS Department Smart OR Lab APEC Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350372472

ISBN: (纸本)9798350372489

The objective of this paper is implementation of model reduction technique (MRT) to simplify hybrid power system. In this technique, both denominator and numerator polynomials of lower order system are determined by direct truncation technique. By applying direct truncation technique for MRT on hybrid power system, thirteen order transfer function is decreased to sixth, fifth, fourth, third, and second orders. These simplified models are very useful and preserve property of parameters with accuracy. The results of simplified models indicate the effectiveness of the method. The demonstrated diagrams like step, impulse, Bode, and Nyquist plots for higher-order model and its lower order reduced models are shown. The stability, steady state value and other features are similar to original higher-order system.

关键词： Analytical models Transfer functions Power system stability Reduced order systems Hybrid power systems Polynomials Stability analysis Power electronics Data models Steady-state

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UPPLIED: UAV Path Planning for Inspection through Demonstration

arXiv

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arXiv 2023年

作者： Kannan, Shyam Sundar Venkatesh, Vishnunandan L.N. Senthilkumaran, Revanth Krishna Min, Byung-Cheol SMART Lab Department of Computer and Information Technology Purdue University West LafayetteIN47907 United States SMART Lab Department of Computer and Information Technology Purdue University School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

— In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for InspEction through Demonstration, which utilizes a demonstrated trajectory to generate a new trajectory to inspect other structures of the same kind. The demonstrated trajectory can inspect specific regions of the structure and the new trajectory generated by UPPLIED inspects similar regions in the other structure. The proposed method generates inspection points from the demonstrated trajectory and uses standardization to translate those inspection points to inspect the new structure. Finally, the position of these inspection points is optimized to refine their view. Numerous experiments were conducted with various structures and the proposed framework was able to generate inspection trajectories of various kinds for different structures based on the demonstration. The trajectories generated match with the demonstrated trajectory in geometry and at the same time inspect the regions inspected by the demonstration trajectory with minimum deviation. The experimental video of the work can be found at https://***/YqPx-cLkv04. © 2023, CC BY.

关键词： Inspection

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RAISE: Optimizing RIS Placement to Maximize Task Throughput in Multi-Server Vehicular Edge Computing

arXiv

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arXiv 2025年

作者： Ma, Yanan Fang, Zhengru Yuan, Longzhi Deng, Yiqin Chen, Xianhao Fang, Yuguang Hong Kong JC Lab of Smart City the Department of Computer Science City University of Hong Kong Hong Kong Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong

Given the limited computing capabilities on autonomous vehicles, onboard processing of large volumes of latency-sensitive tasks presents significant challenges. While vehicular edge computing (VEC) has emerged as a solution, offloading data-intensive tasks to roadside servers or other vehicles is hindered by large obstacles like trucks/buses and the surge in service demands during rush hours. To address these challenges, Reconfigurable Intelligent Surface (RIS) can be leveraged to mitigate interference from ground signals and reach more edge servers by elevating RIS adaptively. To this end, we propose RAISE, an optimization framework for RIS placement in multiserver VEC systems. Specifically, RAISE optimizes RIS altitude and tilt angle together with the optimal task assignment to maximize task throughput under deadline constraints. To find a solution, a two-layer optimization approach is proposed, where the inner layer exploits the unimodularity of the task assignment problem to derive the efficient optimal strategy while the outer layer develops a near-optimal hill climbing (HC) algorithm for RIS placement with low complexity. Extensive experiments demonstrate that the proposed RAISE framework consistently outperforms existing benchmarks. © 2025, CC BY.

关键词： Computation offloading

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Adaptive parameter estimation with convergence analysis for the prandtl-ishlinskii hysteresis operator

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ASME Letters in Dynamic Systems and Control 2021年第4期1卷 041005页

作者： Xu, Rui Zhou, Miaolei Tan, Xiaobo Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China Department of Control Science and Engineering Jilin University Changchun130012 China Smart Microsystems Laboratory Department of Electrical and Computer Engineering Michigan State University East LansingMI48824 United States

Hysteresis is a nonlinear characteristic ubiquitously exhibited by smart material sensors and actuators, such as piezoelectric actuators and shape memory alloys. The Prandtl- Ishlinskii (PI) operator is widely used to describe hysteresis of smart material systems due to its simple structure and the existence of analytical inverse. A PI operator consists of a weighted superposition of play (backlash) operators. While adaptive estimation of the weights for PI operators has been reported in the literature, rigorous analysis of parameter convergence is lacking. In this article, we establish persistent excitation and thus parameter convergence for adaptive weight estimation under a rather modest condition on the input to the PI operator. The analysis is further supported via simulation, where a recursive least square (RLS) method is adopted for parameter estimation. Copyright © 2021 by ASME.

关键词： Hysteresis

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NetMind+: Adaptive Baseband Function Placement With GCN Encoding and Incremental Maze-Solving DRL for Dynamic and Heterogeneous RANs

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IEEE Transactions on Network and Service Management 2025年

作者： Li, Haiyuan Li, Peizheng Assis, Karcius Day Parra, Juan Marcelo Aijaz, Adnan Yan, Shuangyi Simeonidou, Dimitra University of Bristol High Performance Networks Group Smart Internet Lab Department of Electrical and Electronic Engineering BS8 1QU United Kingdom Toshiba Europe Ltd Bristol Research and Innovation Laboratory BS1 4ND United Kingdom Electrical and Computer Engineering Department Brazil

The disaggregated architecture of advanced Radio Access Networks (RANs) with diverse X-haul latencies, in conjunction with resource-limited multi-access edge computing networks, presents significant challenges in designing a general model in placing baseband and user plane functions to accommodate versatile 5G services. This paper proposes a novel approach, NetMind+, which leverages Deep Reinforcement Learning (DRL) to determine the function placement strategies in diverse and evolving RAN topologies, aiming at minimizing power consumption. NetMind+ resolves the problem with a maze-solving strategy, enabling a Markov Decision Process with standardized action space scales across different networks. Additionally, a Graph Convolutional Network (GCN) based encoding and an incremental learning mechanism are introduced, allowing features from different and dynamic networks to be aggregated into a single DRL agent. This facilitates the generalization capability of DRL and minimizes the negative retraining impact. In an example with three sub-networks, NetMind+ demonstrates a substantial 32.76% improvement in power savings and a 41.67% increase in service stability compared to benchmarks from the existing literature. Compared to traditional methods necessitating a dedicated DRL agent for each network, NetMind+ attains comparable performance with 70% of the training cost savings. Furthermore, it demonstrates robust adaptability during network variations, accelerating training speed by 50%. © 2004-2012 IEEE.

关键词： Deep reinforcement learning

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ITAE Index Based Control Design Strategy to Mitigate Frequency Deviation of Renewable Integrated Islanded-Microgrid

ITAE Index Based Control Design Strategy to Mitigate Frequen...

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International Conference on Power Electronic Drives

作者： T. K. Bashishtha V. P. Singh Akhilesh Mathur Krishna Murari Mrityunjay Kumar Mishra Ameena Saad Al-Sumaiti Electrical En-gineering M. National Institute of Technology Jaipur India Electrical Engineering and Computer Science Department The University of Toledo Ohio USA EECS Department Smart OR Lab APEC Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350372472

ISBN: (纸本)9798350372489

This work addresses the frequency stability issue of microgrids and eliminates frequency errors by incorporating a proportional-integral-derivative (PID) controller. PID controller mitigates frequency error by deriving controller gains with the help of integral time absolute error (ITAE) index as a key design criterion. To validate controller efficacy, various analyses are conducted. The results indicate that ITAE assisted-PID controller achieves good settling time, rise time, and requires minimum controller magnitude. The ITAE-PID controller provides a better frequency response of considered microgrid model.

关键词： Time-frequency analysis Transient response Control design Stability criteria Microgrids Frequency response Indexes PD control Frequency control Tuning

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Shipboard Microgrid Frequency Control Using Error Performance Criteria

Shipboard Microgrid Frequency Control Using Error Performanc...

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International Conference on Power Electronic Drives

作者： A. V. Waghmare V. P. Singh Akhilesh Mathur Krishna Murari Mrityunjay Kumar Mishra Ameena Saad Al–Sumaiti Electrical Engineering M. National Institute of Technology Jaipur RJ India Dept. of Electrical Engineering and Computer Science University of Toledo Ohio USA Smart OR Lab APEC EECS Department Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350372472

ISBN: (纸本)9798350372489

The rapid advancement of renewable energy technologies and strict regulations imposed by the marine pollution protocol have significantly increased interest in integrating renewable energy sources into marine vessel power systems. But this gives rise to deviating frequency due to irregularities in generation from renewable energy sources. This study primarily focuses on the frequency regulation of shipboard microgrids implementing PID controller. The study employs error performance criteria, namely integral square error (ISE) and integral square time error (ISTE), for fine-tuning the PID controller parameters. The frequency analysis of shipboard microgrids with controllers based on ISE and ISTE methods, are presented and discussed in the research. To improve comprehension of the results, a comparative study is carried out, presenting time domain specifications for shipboard microgrids with and without controllers.

关键词： Renewable energy sources Protocols PI control Microgrids Regulation Power electronics Power systems PD control Time-domain analysis Frequency control

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