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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhang, Jiaojiao Zhu, Linglingzhi Johansson, Mikael Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science StockholmSE-100 44 Sweden Chinese University of Hong Kong Department of Systems Engineering and Engineering Management Hong Kong

ISBN: (纸本)9798350316339

We introduce a novel differentially private algorithm for online federated learning that employs temporally correlated noise to enhance utility while ensuring privacy of continuously released models. To address challenges posed by DP noise and local updates with streaming non-iid data, we develop a perturbed iterate analysis to control the impact of the DP noise on the utility. Moreover, we demonstrate how the drift errors from local updates can be effectively managed under a quasi-strong convexity condition. Subject to an (, δ) DP budget, we establish a dynamic regret bound over the entire time horizon, quantifying the impact of key parameters and the intensity of changes in dynamic environments. Numerical experiments confirm the efficacy of the proposed algorithm. © 2024 IEEE.

关键词： Federated learning

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Fault Grading Techniques for Evaluating Software-Based Self-Test with Respect to Small Delay Defects

Fault Grading Techniques for Evaluating Software-Based Self-...

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IEEE Symposium on On-Line Testing (IOLTS)

作者： Michelangelo Bartolomucci Nikolaos I. Deligiannis Riccardo Cantoro Matteo Sonza Reorda Department of Control and Computer Engineering Politecnico di Torino Italy

ISBN: (数字)9798350370553

ISBN: (纸本)9798350370560

A widely adopted practice for in-field testing of electronic devices uses Software-Based Self-Test (SBST) in the form of Software Test Libraries (STLs). Typically, STLs target the stuck-at and Transition Delay Fault (TDF) models. However, to face the new defects introduced by the most recent semiconductor technologies, new fault models must be adopted. Small Delay Defects (SDDs) play an increasingly important role in this scenario. Unlike TDFs, SDDs slightly increase the paths’ timing, whose size is not in the same order of magnitude of the clock period. These defects can cause failures during the operational phase if they affect the critical paths. Remarkably, in scan testing the propagation time of a fault is limited, as a fault effect has to reach the scan flip-flops to be detected. However, in functional testing, the fault effect may require several clock cycles before reaching an observable point. Thus, the delay due to the fault cannot be indefinitely *** there will be the need to move to delay faults when developing STLs, it is important to use the timing information correctly in functional fault simulations. SDDs are the typical choice. In this paper, we implemented a fault grading process for STLs to show how the fault coverage they can achieve changes when the delay defect increases (from SDDs to the extreme case of TDFs). The work uses static timing analysis; although this is known to yield pessimistic results in some cases, it gives a very good indication of the trend in fault coverage as the SDDs approximate TDFs. Differences in fault coverages with respect to the TDF model are highlighted, while an assessment of the effects of multi-cycle delays is also provided.

关键词： Industries Fault detection Built-in self-test Market research Software Libraries Delays

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Latency-aware Scheduling in the Cloud-Edge Continuum

Latency-aware Scheduling in the Cloud-Edge Continuum

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IEEE Symposium on Network Operations and Management

作者： Cristopher Chiaro Doriana Monaco Alessio Sacco Claudio Casetti Guido Marchetto Department of Control and Computer Engineering Politecnico di Torino Italy

ISBN: (数字)9798350327939

ISBN: (纸本)9798350327946

In recent years, containerized deployment models have gained favor across many domain of applications. Kubernetes, the de-facto standard for containers orchestration, can efficiently manage heterogeneous devices, but fails to adapt to possibly stringent requirements, as it only considers computing metrics for scheduling decisions. In addition, the rising prominence of distributed cloud environments, which enable the development of highly available, performant solutions, requires modifications to the default Kubernetes scheduler. To address these challenges, we introduce LAIS, a multi-cluster Kubernetes scheduler optimized for end-to-end latency measurements to enhance user Quality of Experience (QoE). Unlike existing approaches, we define a geographically distributed environment and deploy a solution that satisfies user-specified intents in terms of latency. Depending on user needs, LAIS can either meet a specific latency constraint or schedule pods in the cluster with the lowest latency. After implementing LAIS in a multi-cluster environment, we found it highly effective in accommodating a range of user intents, outperforming the default Kubernetes scheduler in this regard.

关键词： Performance evaluation Schedules Processor scheduling Computational modeling Containers Real-time systems Quality of experience

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Analyzing the Impact of Scheduling Policies on the Reliability of GPUs Running CNN Operations

Analyzing the Impact of Scheduling Policies on the Reliabili...

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VLSI Test Symposium

作者： Robert Limas Sierra Juan-David Guerrero-Balaguera Francesco Pessia Josie E. Rodriguez Condia Matteo Sonza Reorda Department of Control and Computer Engineering (DAUIN) Politecnico di Torino

ISBN: (数字)9798350363784

ISBN: (纸本)9798350363791

The programming flexibility and parallelism of Graphics Processing Units (GPUs) contribute to their effective adoption in complex and data-intensive fields like Machine Learning, especially in the deployment of Convolutional Neural Networks (CNNs). CNNs are also used in some safety-critical applications with severe reliability constraints, such as autonomous driving and robotics. Modern GPUs efficiently combine hardware schedulers controllers and in-chip accelerators (e.g., Tensor Core Units, or TCUs) to enhance CNN’s performance. Interestingly, fine-grain reliability analyses combining the operation of task scheduling policies in GPUs and TCUs have remained unexplored. This work analyses the reliability impact of scheduling policies on GPUs when permanent faults affect TCUs, during the execution of CNN operations. We developed a configurable architectural GPU model (in terms of clusters and parallel cores) that implements five selectable scheduling policies and supports the instruction-accurate execution of TCUs. Our results indicate that the GPU’s architecture and the scheduling policy play a crucial role in the application’s corruption from faulty TCUs. From the experiments, we found that some policies can reduce the corruption effects by up to 22% for large GPUs. In addition, we evaluated the dynamic variability of the scheduling policies and their complexity on identifying deterministic effects on the application’s outputs.

关键词： Tensors Graphics processing units computer architecture Very large scale integration Programming Dynamic scheduling Software

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Visual Tracking Nonlinear Model Predictive control Method for Autonomous Wind Turbine Inspection 21

Visual Tracking Nonlinear Model Predictive Control Method fo...

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21st International Conference on Advanced Robotics, ICAR 2023

作者： Amer, Abdelhakim Mehndiratta, Mohit Le Fevre Sejersen, Jonas Pham, Huy Xuan Kayacan, Erdal Department of Electrical and Computer Engineering Aarhus C8000 Denmark Gim Robotics Espoo Finland Automatic Control Group Paderborn University Department of Electrical Engineering and Information Technology Paderborn Germany

ISBN: (纸本)9798350342291

Automated visual inspection of on- and off-shorewind turbines using aerial robots provides several benefits, namely, a safe working environment by circumventing the need for workers to be suspended high above the ground, reduced inspection time, preventive maintenance, and access to hard-to-reach areas. A novel nonlinear model predictive control (NMPC) framework alongside a global wind turbine path planner is proposed to achieve distance-optimal coverage for wind turbine inspection. Unlike traditional MPC formulations, visual tracking NMPC (VT-NMPC) is designed to track an inspection surface, instead of a position and heading trajectory, thereby circumventing the need to provide an accurate predefined trajectory for the drone. An additional capability of the proposed VT-NMPC method is that by incorporating inspection requirements as visual tracking costs to minimize, it naturally achieves the inspection task successfully while respecting the physical constraints of the drone. Multiple simulation runs and real-world tests demonstrate the efficiency and efficacy of the proposed automated inspection framework, which outperforms the traditional MPC designs, by providing full coverage of the target wind turbine blades as well as its robustness to changing wind conditions. The implementation codes11https://***/open-airlab/VTNMPC-Autonomous-Wind-Turbine-Inspection are open-sourced. © 2023 IEEE.

关键词： Inspection

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A Distributed Optimization Algorithm Considering Inequality Constraints and its Application in Economic Dispatch Problem 7

A Distributed Optimization Algorithm Considering Inequality ...

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7th International Conference on Power and Energy Applications, ICPEA 2024

作者： Chen, Baitong Yang, Jianhua Lu, Wei Pedrycz, Witold Sun, Changhai School of Control Science and Engineering Dalian University of Technology Liaoning Dalian116023 China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada School of Electrical Engineering Dalian University of Technology Liaoning Dalian116023 China

ISBN: (纸本)9798350356113

The economic dispatch problem (EDP) is crucial in optimizing and controlling power systems. As modern power system become more complex, traditional centralized communication methods are becoming less reliable. Therefore, distributed optimization method that relie on communication between neighboring nodes without the need for a central node are proposed. Existing distributed optimization methods for economic dispatch problems mainly focus on equality constraints like supply-demand balance, while problems with global inequality constraints are rarely studied. To address this gap, we propose a distributed optimization algorithm based on the primal-dual method and gradient tracking technique that can handle both global equality and inequality constraints. We thoroughly analyze its convergence and successfully apply it to the EDP with emission constraints to demonstrate its effectiveness. © 2024 IEEE.

关键词： Optimization algorithms

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The forgotten pillar of sustainability: development of the S-assessment tool to evaluate Organizational Social Sustainability

arXiv

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arXiv 2024年

作者： Annarelli, Alessandro Catarci, Tiziana Palagi, Laura DIAG Department of Computer Control and Management Engineering Antonio Ruberti

Pursuing sustainable development has become a global imperative, underscored adopting of the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDG). At the heart of this agenda lies the recognition of social sustainability as a pivotal component, emphasizing the need for inclusive societies where every individual can thrive. Despite its significance, social sustainability remains a "forgotten pillar," often overshadowed by environmental concerns. In response, this paper presents the development and validation of the S-Assessment Tool for Social Sustainability, a comprehensive questionnaire designed to evaluate organizations' performance across critical dimensions such as health and wellness, gender equality, decent work, and economic growth, reducing inequalities, and responsible production and consumption. The questionnaire was constructed on the critical dimensions identified through a systematic and narrative hybrid approach to the analysis of peer-reviewed literature. The framework has been structured around the values of the SDGs. It aims to empower organizations to better understand and address their social impact, fostering positive change and contributing to the collective effort towards a more equitable and sustainable future. Through collaborative partnerships and rigorous methodology, this research underscores the importance of integrating social sustainability into organizational practices and decision-making processes, ultimately advancing the broader agenda of sustainable development. Copyright © 2024, The Authors. All rights reserved.

关键词： Sustainable development

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Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation

arXiv

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arXiv 2025年

作者： Borgi, Alessio Maiano, Luca Amerini, Irene Sapienza University of Rome Department of Computer Control and Management Engineering Italy

We introduce Z-SASLM, a Zero-Shot Style-Aligned SLI (Spherical Linear Interpolation) Blending Latent Manipulation pipeline that overcomes the limitations of current multi-style blending methods. Conventional approaches rely on linear blending, assuming a flat latent space leading to suboptimal results when integrating multiple reference styles. In contrast, our framework leverages the nonlinear geometry of the latent space by using SLI Blending to combine weighted style representations. By interpolating along the geodesic on the hypersphere, Z-SASLM preserves the intrinsic structure of the latent space, ensuring high-fidelity and coherent blending of diverse styles—all without the need for fine-tuning. We further propose a new metric, Weighted Multi-Style DINO VIT-B/8, designed to quantitatively evaluate the consistency of the blended styles. While our primary focus is on the theoretical and practical advantages of SLI Blending for style manipulation, we also demonstrate its effectiveness in a multi-modal content fusion setting through comprehensive experimental studies. Experimental results show that Z-SASLM achieves enhanced and robust style alignment. The implementation code can be found at: https://***/alessioborgi/ZSASLM. © 2025, CC BY.

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Review on guidance and control of aerospace vehicles: recent progress and prospect

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Aerospace Systems 2024年第2期7卷 175-192页

作者： Wang, Zian Cai, Pengcheng Gong, Zheng Zhang, Chengxi Zhao, Shunyi Wu, Jin Dong, Peng Department of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Key Laboratory of Advanced Control for Light Industry Processes Ministry of Education Jiangnan University Wuxi214122 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China

This paper expounds on the development status and relevant works of control and guidance methods of the aerospace vehicle in recent years. The control difficulties and the solutions in the related results are introduced briefly. Moreover, the guidance methods are then expounded in detail according to the flight phases of the whole flight mission. Guidance methods are usually included in each phase, and the corresponding trajectory design theories are also introduced where necessary. In addition, the potential future development direction prospects. Based on the above, a brief conclusion is then made as a summary. © Shanghai Jiao Tong University 2024.

关键词： Space flight

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GenSUMO: GenAI-Creation of Critical Scenarios for Autonomous Vehicle Testing 22

GenSUMO: GenAI-Creation of Critical Scenarios for Autonomous...

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22nd IEEE Consumer Communications and Networking Conference, CCNC 2025

作者： Angelini, Sergio Augusto Gasco, Diego Casetti, Claudio Politecnico di Torino Department of Control and Computer Engineering Turin Italy

ISBN: (纸本)9798331508050

Recent advancements in autonomous vehicle research highlight the importance of Machine Learning (ML) models in tasks like motion planning, trajectory prediction, and emergency management. To support AI development, we propose a novel approach for generating on-demand datasets using the Simulator of Urban Mobility (SUMO) and a Generative Adversarial Network (GAN). Our method focuses on capturing critical events such as sudden pedestrian crossings, near-misses, and collisions, providing essential data to improve vehicle models' responses to emergency situations. © 2025 IEEE.

关键词： Risk management

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