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IEEE International Smart Cities Conference (ISC2)

作者： Georgios Mylonas Athanasios Kalogeras Sobah Abbas Petersen Luis Muñoz Ioannis Chatzigiannakis Industrial Systems Institute Athena Research Center Patras Greece Dpt. of Computer Science Norwegian University of Science and Technology Trondheim Norway Dpt. of Communications Engineering Universidad de Cantabria Santander Spain Dpt. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9798350364316

ISBN: (纸本)9798350364323

Smart cities have been a very active research area in the past 20 years, while continuously adapting to new technological advancements and keeping up with the times regarding sustainability and climate change. In this context, there have been numerous proposals to expand the scope of smart cities, focusing on resilience and sustainability, among other aspects, resulting in terms like smart sustainable cities. At the same time, there is an ongoing discussion regarding the degree in which smart cities put people at their centre. In this work, we argue toward expanding the current smart city definition by integrating the circular economy as one of its central pillars and adopting the term smart (and) circular city. We discuss the ways a smart and circular city encompasses both sustainability and smartness in an integral manner, while also being well-positioned to foster novel business activity and models and helping to place citizens at the heart of the smart city. In this sense, we also argue that previous research in smart cities and technologies, such as those related to Industry 4.0, can serve as a cornerstone to implement circular economy activities within cities, at a scale that exceeds current activities that are based on more conventional approaches. We also outline current open challenges in this domain and research questions that still need to be addressed.

关键词： Heart Climate change Smart cities Ecosystems Focusing Fourth Industrial Revolution Proposals Sustainable development Resilience Business

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The Impact of Grid Harmonics on Commutation Failure

The Impact of Grid Harmonics on Commutation Failure

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China International Electrical and Energy Conference (CIEEC)

作者： Ming Li Xiaolin Shen Yucheng Wu Yiqi Liu State Grid Economic and Technology Research Institute Co. Ltd. Beijing China College of Mechanical and Electrical Engineering Northeast Forestry University Harbin China College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Commutation failure is a common fault in Line Commutated Converter High Voltage Direct Current (LCC-HVDC) systems. LCC-HVDC relies on the AC power grid to provide reverse voltage to naturally turn off thyristors. Faults in the AC system on the inverter side can lead to commutation failures. In practical engineering applications, AC network harmonics also affect the commutation of thyristors. This paper further elucidates the impact of AC network harmonics on commutation failure and validates the effect of non-characteristic harmonics of different orders on LCC-HVDC commutation failure using the PSCAD/EMTDC simulation platform.

关键词： Thyristors Voltage High-voltage techniques Power system stability Harmonic analysis Stability analysis Power grids

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Blockage-Resilient Integrated Sensing and Communication in mmWave Networks: Multi-View Collaboration and Efficient Task Allocation

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IEEE Transactions on Mobile Computing 2025年

作者： Cui, Yue Ding, Haichuan Ma, Ying Li, Xuanheng Zhang, Haixia Fang, Yuguang Beijing Institute of Technology School of Cyberspace Science and Technology Beijing100081 China Beijing Institute of Technology School of Information and Electronics Beijing100081 China Dalian University of Technology School of Information and Communication Engineering Dalian116023 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Shandong University Shandong Provincial Key Laboratory of Wireless Communication Technologies School of Control Science and Engineering Jinan250061 China City University of Hong Kong Department of Computer Science Hong Kong Hong Kong

Integrated sensing and communication (ISAC) has emerged as a promising technology for future millimeter wave (mmWave) networks. However, the susceptibility of mmWave signals to blockages poses considerable challenges for ISAC as it can result in unreliable links and disrupted sensing. As a result, this paper investigates the blockage-resilient ISAC design that leverages the robustness offered by multi-base station (BS) collaboration. Given the dynamic blockages and the fluctuation in the targets' radar cross section (RCS), the blockage-resilient multiBS collaborative ISAC design is cast as a chance constrained integer programming (CCIP) by jointly considering the diverse deadlines of different sensing tasks and the spatial/temporal user-target pairing for dual-functional radar and communication (DFRC) waveform scheduling. To facilitate efficient solution finding, we develop a group concatenating assisted reinforcement learning (GCRL) algorithm, where we linearize the chance constraints via variable grouping and concatenation, enabling the RL agent to understand the problem structure with bipartite graphs so as to develop an efficient branching policy. Extensive experiments demonstrate the resilience of the obtained ISAC scheme to dynamic blockages. © 2025 IEEE. All rights reserved.

关键词： Integer programming

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CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive control

arXiv

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arXiv 2023年

作者： Zhang, Baozhe Chen, Xinwei Li, Zhehan Beltrame, Giovanni Xu, Chao Gao, Fei Cao, Yanjun Huzhou Institute of Zhejiang University Huzhou313000 China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China The Chinese University of Hong Kong Shenzhen518172 China Department of Computer Engineering and Software Engineering Poly-technique Montreal Canada

This paper presents a novel solution for UAV control in cooperative multi-robot systems, which can be used in various scenarios such as leader-following, landing on a moving base, or specific relative motion with a target. Unlike classical methods that tackle UAV control in the world frame, we directly control the UAV in the target coordinate frame, without making motion assumptions about the target. In detail, we formulate a nonlinear model predictive controller of a UAV, referred to as the agent, within a non-inertial frame (i.e., the target frame). The system requires the relative states (pose and velocity), the angular velocity and the accelerations of the target, which can be obtained by relative localization methods and ubiquitous MEMS IMU sensors, respectively. This framework eliminates dependencies that are vital in classical solutions, such as accurate state estimation for both the agent and target, prior knowledge of the target motion model, and continuous trajectory re-planning for some complex tasks. We have performed extensive simulations to investigate the control performance with varying motion characteristics of the target. Furthermore, we conducted real robot experiments, employing either simulated relative pose estimation from motion capture systems indoors or directly from our previous relative pose estimation devices outdoors, to validate the applicability and feasibility of the proposed approach. © 2023, CC BY.

关键词： Unmanned aerial vehicles (UAV)

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Analyzing Aerial 3D Maps to Guide a Ground Vehicle to Complement the Regions Not Visible from Above

Analyzing Aerial 3D Maps to Guide a Ground Vehicle to Comple...

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International Conference on Advanced Robotics (ICAR)

作者： Barnabás Bugár-Mészáros András L. Majdik Machine Perception Research Laboratory HUN-REN Institute for Computer Science and Control (HUN-REN SZTAKI) Budapest Hungary Department of Material Handling and Logistics Systems Budapest University of Technology and Economics Budapest

The detailed reconstruction of complex unknown environments is a challenging task in several robotic applications. Multi-robot systems combining the advantages of aerial and ground vehicles are often used for this purpose, where the different perspectives of sensors are leveraged to reduce the proportion of uncovered areas. Since the lower speed of ground robots in cluttered environments compared to aerial vehicles can significantly limit the efficiency of the exploration, in this paper we propose a cooperative mapping system in which only the necessary regions are assigned to the ground vehicle. These regions are selected based on the structural analysis of the 3D model built by an aerial robot and a global path is computed connecting them which only passes traversable parts of the environment. A ground 3D map is also created and the two models are fused when the robot reaches the last waypoint of the path. We tested our solution in multiple simulated environments to verify its functionality.

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A Generation Directrix-Based Regulation Energy Market Mechanism for Fairer Competition in Power Systems with High Renewable Energy Penetration

SSRN

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SSRN 2024年

作者： Gu, Jiu Zhou, Shichao Wang, Lingling Jiang, Chuanwen Li, Zuyi Key Laboratory of Control of Power Transmission and Conversion Ministry of Education SEIEE Shanghai Jiao Tong University Minhang District Shanghai200240 China Electrical and Computer Engineering Department Illinois Institute of Technology ChicagoIL60616 United States

Building a power system with a high proportion of renewable energy is the prevailing developmental trajectory of most countries. However, the current spot market mechanism is predominantly tailored for conventional generators (CGs, e.g., thermal units), which ignores the notable differences between renewable energy sources (RESs) and CGs in terms of generation cost and adjustment capability. Consequently, RESs benefit from priority in market-clearing without assuming regulation responsibility during the bidding process alongside CGs, thereby impacting the fairness of the spot market. In this paper, we propose the concept of RES generation directrix (RGD) to quantify the regulation responsibility that RESs need to bear when participating in the spot market. Subsequently, a regulation energy market is constructed between RESs and CGs to reshape the power generation curve of RESs. Finally, the validity of the proposed market mechanism is verified across different test systems. Numerous experiments indicate the proposed RGD-based market mechanism provides a more level playing field for RESs and CGs, helps form an independent offer price for RESs, thereby relieving the "missing money" problem and prolonging the effectiveness and sustainability of energy markets. © 2024, The Authors. All rights reserved.

关键词： Renewable energy resources

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Path-Integral Formula for Computing Koopman Eigenfunctions

Path-Integral Formula for Computing Koopman Eigenfunctions

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IEEE Conference on Decision and control

作者： Shankar A. Deka Sriram S.K.S. Narayanan Umesh Vaidya Dept. of Electrical Engr. and Computer Science Decision and Control Systems division KTH Royal Institute of Technology Sweden Dept. of Mechanical Engr. Clemson University Clemson SC

The paper is about the computation of the principal spectrum of the Koopman operator (i.e., eigenvalues and eigenfunctions). The principal eigenfunctions of the Koopman operator are the ones with the corresponding eigenvalues equal to the eigenvalues of the linearization of the nonlinear system at an equilibrium point. The main contribution of this paper is to provide a novel approach for computing the principal eigenfunctions using a path-integral formula. Furthermore, we provide conditions based on the stability property of the dynamical system and the eigenvalues of the linearization towards computing the principal eigenfunction using the path-integral formula. Further, we provide a Deep Neural Network framework that utilizes our proposed path-integral approach for eigenfunction computation in high-dimension systems. Finally, we present simulation results for the computation of principal eigenfunction and demonstrate their application for determining the stable and unstable manifolds and constructing the Lyapunov function.

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A Robust Guaranteed Cost Formation control for a Class of Uncertain Multi-Agent Systems for Event-Trigger-Based Variable Gain controllers

A Robust Guaranteed Cost Formation Control for a Class of Un...

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International Conference on Electrical, control and Instrumentation Engineering (ICECIE)

作者： Daiki Asada Hidetoshi Oya Shunya Nagai Yoshikatsu Hoshi Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan The Department of Computer Science Tokyo City University Tokyo Japan Department of Electronics and Control Engineering National Institute of Technology (KOSEN) Niihama College Ehime Japan

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

In this paper, we propose a design method for a new event-trigger-based variable gain robust controller which achieves both consensus and guaranteed cost performance for a class of uncertain multi-agent systems (MASs) with the leader-follower structure. The proposed variable gain robust controller is composed of stabilizing state feedback laws, state feedback inputs for consensus, and compensation inputs with adjustable parameters, and is designed for giving consideration to relative positions explicitly. In this paper, we show that sufficient conditions for the existence of the proposed robust guaranteed cost formation controller are given in terms of Linear Matrix Inequalities (LMIs). Finally, a simple example is included.

关键词： Sufficient conditions State feedback Costs Uncertainty Design methodology Formation control Linear matrix inequalities Gain Output feedback Multi-agent systems

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IOT based wearable sensor system architecture for classifying human activity

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Measurement: Sensors 2025年 39卷

作者： Mahalakshmi, V. Kumar, Pramod Bhende, Manisha Keshta, Ismail Rathod, Swatiben Yashvantbhai Ramesh, Janjhyam Venkata Naga Department of Computer Science College of Engineering and computer science Jazan University Jazan45142 Saudi Arabia Computer science and Technology Ganga Institute of Technology and Management Kablana Haryana Jhajjar124104 India Dr. D. Y. Patil Vidyapeeth Pune India Dr. D. Y. Patil School of Science & Technology Tathawade Pune India Computer Science and Information Systems Department College of Applied Sciences AlMaarefa University Riyadh Saudi Arabia Instrumentation And Control Department Vishwakrma Government Engineer College Chandkheda Ahmedabad382424 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Dist. Andhra Pradesh 522302 India

Human Activity Recognition (HAR) has applications in diverse fields, including sports management and behavior classification. Existing HAR methods can be categorized into three main approaches: camera-based, wearable sensor-based, and Wi-Fi sensing-based. Camera-based methods suffer from privacy concerns, while wearable sensor-based methods face limitations in battery longevity and continuous monitoring. Wi-Fi sensing methods mitigate privacy and battery issues but rely on costly Intel 5300 network cards or software-defined radio (SDR) platforms, limiting scalability. This paper presents a cost-effective IoT-based human activity recognition system using ESP32, leveraging its Wi-Fi sensing capabilities. The proposed system follows a structured workflow: (i) channel state information (CSI) is extracted from ESP32 modules, (ii) data preprocessing is performed using Hampel and Gaussian filters for noise and outlier removal, (iii) dimensionality reduction is achieved through Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT), and (iv) activity classification is conducted using Dynamic Time Warping (DTW) and the K-Nearest Neighbors (KNN) algorithm. Experimental evaluations demonstrate that the proposed system achieves an average recognition accuracy of 98.6 % across six human activities, comparable to high-end Intel 5300-based HAR systems, while significantly reducing hardware costs and improving ease of deployment. © 2025

关键词： Discrete wavelet transforms

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Synthesis of Variable Gain Robust State Observer for a Class of Uncertain Nonlinear Systems

Synthesis of Variable Gain Robust State Observer for a Class...

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International Conference on Electrical, control and Instrumentation Engineering (ICECIE)

作者： Kazuhiro Hirasawa Daiki Asada Shunya Nagai Hidetoshi Oya Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Department of Electronics and Control Engineering National Institute of Technology (KOSEN) Niihama College Ehime Japan The Department of Computer Science Tokyo City University Tokyo Japan

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

This paper proposes a new variable gain robust state observer for a class of uncertain nonlinear systems. The variable gain robust state observer proposed in this paper consists of fixed observer gain matrices and nonlinear modification functions which are determined by appropriate updating rules. It is shown that sufficient conditions for the existence of the proposed variable gain robust state observer can be reduced to solvability of Linear Matrix Inequalities (LMIs). Finally, we give a simple numerical example.

关键词： Linear systems Sufficient conditions Instruments Delay effects Riccati equations Interconnected systems Observers Linear matrix inequalities Nonlinear systems Gain

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