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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Han, Yongsheng Natali, Alberto Leus, Geert Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

ISBN: (纸本)9798350368741

This paper addresses graph topology identification for applications where the underlying structure of systems like brain and social networks is not directly observable. Traditional approaches based on signal matching and spectral templates have limitations, particularly in handling scale issues and sparsity assumptions. We introduce a novel covariance matching methodology that efficiently reconstructs the graph topology using observable data. For the structural equation model (SEM) using an undirected graph, we demonstrate that our method can converge to the correct result under relatively soft conditions. Furthermore, we extend our methodology to polynomial models and any known distribution of latent variables, broadening its applicability and utility in diverse graph-based systems. © 2025 IEEE.

关键词： covariance matching graph topology identification polynomial model structural equation model

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Large Signal Stability Assessment of MPC-based Control for HVDC Electrical Grid

Large Signal Stability Assessment of MPC-based Control for H...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Tarcar, Rohan Kamat Shetgaonkar, Ajay Popov, Marjan Lekić, Aleksandra Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science DelftCD 2628 Netherlands

ISBN: (纸本)9789531842976

The stability of an HVDC transmission network is very important for the reliable transfer of power from renewable energy resources. Therefore, this paper proposes a region of attraction stability analysis method for grid-forming-based modular multilevel converters. The grid forming control uses a model predictive control-based controller for the inner current loop. The stability analysis is carried out using the direct Lyapunov method. For the model predictive control, the modified version of the cost function is used;the same function is also used as the cost function for the direct Lyapunov method. Furthermore, the boundaries formed by the limiters and Lyapunov function entirely explain transient event behavior. © 2024 IEEE.

关键词： Renewable energy

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Real-Time Supervised Spiking Neural Network for Cerebellar Purkinje Cells Spike Detection and Classification

Real-Time Supervised Spiking Neural Network for Cerebellar P...

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2024 International Conference on Neuromorphic Systems, ICONS 2024

作者： Raisiardali, Alireza Siddiqi, Ali Strydis, Christos Hamdioui, Said Muratore, Dante Gabriel Bishnoi, Rajendra Delft University of Technology Computer Engineering Group Delft Netherlands Erasmus Medical Center Neuroscience Department Rotterdam Netherlands Delft University of Technology Bioelectronics Group Delft Netherlands

ISBN: (纸本)9798350368659

The investigation of neural activity in the murine brain through electrophysiological recordings stands as a fun-damental pursuit within the domain of neuroscience. A specific area of keen interest within this field pertains to the scrutiny of Purkinje cells, nestled within the cerebellum, in order to gain insights into the mechanisms underlying brain injuries and the impairment of motor functions. Notably, Purkinje cells manifest two distinct types of spikes - complex and simple - a pivotal aspect for subsequent classification purposes. However, a critical challenge has persisted in the experimental paradigm: the prevailing setups necessitate the use of wired connections linking the mouse's head stage to data acquisition systems. This constraint substantially curtails the mouse's natural behavior during the course of experimentation, limiting the ability to study essential neural processes and motor function aspects over extended periods. In this paper, we propose a new architectural framework for the detection and classification of neuronal spikes originating from Purkinje cells. This system is engineered to exploit the distinct attributes of these neural entities, effectively winnowing out extraneous data while retaining the pertinent information. The resultant output is a refined dataset, amenable to convenient storage within the mouse's head stage, obviating the need for unwieldy wiring configurations. Our proposed implementation attains a classification accuracy of up to 98% on an in-vivo dataset. Furthermore, its compact form factor en-sures unhindered mobility for the experimental mouse, fostering naturalistic behaviors during the course of scientific inquiry. © 2024 IEEE.

关键词： Mammals

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Multi-level forming-free HfO2-based ReRAM for energy-efficient computing 82

Multi-level forming-free HfO2-based ReRAM for energy-efficie...

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82nd Device Research Conference, DRC 2024

作者： Hua, Erbing Abunahla, Heba Gaydadjiev, Georgi Hamdioui, Said Ishihara, Ryoichi Delft University of Technology Qutantum and Computer Engineering Mekelweg 4 Delft2628CD Netherlands

ISBN: (纸本)9798350373738

Memristor technology has shown great promise for energy-efficient computing [1] , though it is still facing many challenges [1 , 2]. For instance, the required additional costly electroforming to establish conductive pathways is seen as a significant drawback as it contributes to power and area overheads, and limited device endurance. In this work, we propose a novel forming-free HfO2 -based ReRAM device with low operating voltages , multi-level capability , and less sensitivity to device-to-device (D2D) and cycle-to-cycle (C2C) variations. The device is fabricated using CMOS-compatible processes, excluding the undesirable complex steps mandatory to manufacture the state-of-the-art forming-free devices [3, 4, 5]. This is accomplished by utilizing the desirable formation energy of Pd-O bonds [6, 7], which creates conducting paths at room temperature while maintaining the analog switching ability of the devices. The proposed ReRAM device holds a great value for dense memories and energy-efficient compute architectures. © 2024 IEEE.

关键词： RRAM

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DAMPING OPTIMIZATION IN LOCALLY RESONANT METASTRUCTURES VIA HYBRID GA-PSO ALGORITHMS AND MODAL ANALYSIS 17

DAMPING OPTIMIZATION IN LOCALLY RESONANT METASTRUCTURES VIA ...

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17th Annual Conference of the Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2024

作者： Alimohammadi, Hossein Vassiljeva, Kristina Nia, S. Hassan Hossein Ellervee, Peeter Petlenkov, Eduard Department of Computer Systems Tallinn University of Technology Tallinn Estonia Department of Precision and Microsystems Engineering Delft University of Technology Delft Netherlands

ISBN: (纸本)9780791888322

This study explores the optimization of bandgap characteristics in locally resonant metastructures through advanced artificial intelligence (AI) and optimization algorithms, focusing on the accurate estimation of resonator damping ratios. By developing a novel mathematical framework for metastructure analysis, this research diverges from traditional methods, offering a more nuanced approach to bandgap manipulation. This research significantly improves metastructure modeling accuracy by precisely estimating resonator and structural damping ratios, enhancing model fidelity crucial for analysis, control strategies, and design optimization. Through a combination of model simulations and experimental validation, the efficacy of the Hybrid Genetic Algorithm-Particle Swarm Optimization (GA-PSO) algorithm is demonstrated, highlighting its potential for practical applications in engineering metastructures. This paper not only provides a robust method for estimating damping ratios but also opens new avenues for future research, including the application of machine learning techniques and the development of intelligent materials. The findings of this study contribute to the foundational understanding necessary for the advancement of mathematical modeling metamaterials, with broad implications for industries where precise vibration control is crucial. Copyright © 2024 by The United States Government.

关键词： Damping

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Specification of Complex Analytics Workflows: A Formal Language Model of Decision Options 20th

Specification of Complex Analytics Workflows: A Formal Lang...

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20th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2024

作者： Miri, Pouriya Kochovski, Petar Tuler de Oliveira, Marcela Stankovski, Vlado Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Department of Engineering Systems Delft University of Technology Delft Netherlands

ISBN: (纸本)9783031812255

The specification of experiments expressed as Complex Analytics Workflows is a complex task that involves many decision-making steps with various degrees of complexity. The use of the context, the expert knowledge, and the potential for its sharing and reuse in the context of experiment specification have not been addressed sufficiently until now. Moreover, to make such knowledge instrumental, it should be coupled with specific probabilistic measures, such as particular assurances, ranking, and verification of various options. The paper aims to present a novel semantic model for probabilistic reasoning in any experimentation context coupled with a functional system for knowledge generation, reuse, and sharing. The result of our work can be used within existing experimentation engines. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Markov processes

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Enhancing Bandgap Depth in Locally Resonant Metastructures via Notch-Filtered Piezoelectric Actuation 25

Enhancing Bandgap Depth in Locally Resonant Metastructures v...

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25th IEEE International Conference on Industrial technology, ICIT 2024

作者： Alimohammadi, H. Vassiljeva, K. Hosseinnia, S.H. Petlenkov, E. Tallinn University Of Technology Department Of Computer Systems Tallinn Estonia Delft University Of Technology Department Of Precision And Microsystems Engineering Delft Netherlands

ISBN: (纸本)9798350340266

This paper proposes an effective approach to en-hance bandgap depth in metastructures with high damping ratios, utilizing piezoelectric actuators coupled with notch filters for improved vibration isolation. The active control strategy focuses on dynamically attenuating specific resonant frequencies through the application of notch filters within the actuator control loops. AI algorithm, in particular Reinforcement Learning, is employed to optimize the notch filter parameters, thereby fine-tuning the system's response. Numerical validation reveals that this approach not only maintains system stability but also significantly deepens the bandgap. The results highlight that utilizing notched piezo-actuation achieves a more pronounced bandgap depth in overdamped systems compared to traditional piezo-actuated resonators, marking a substantial advancement in vibration control technologies. © 2024 IEEE.

关键词： Energy gap

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Numerical Predictions of Laminar Forced Convection Heat Transfer with and without Buoyancy Effects from an Isothermal Horizontal Flat Plate to Supercritical Nitrogen

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Frontiers in Heat and Mass Transfer 2024年第3期22卷 889-917页

作者： K.S.Rajendra Prasad Sathya Sai T.R.Seetharam Adithya Garimella Department of Mechanical and Industrial Engineering Manipal Institute of Technology BengaluruManipal Academy of Higher EducationManipal576104India Sustainable Energy Technology Faculty of Electrical EngineeringMathematics and Computer ScienceDelft University of TechnologyDelft2600 AANetherlands Department of Mechanical Engineering PES UniversityBengaluru560085India

Numerical predictions are made for Laminar Forced convection heat transfer with and without buoyancy effects for Supercritical Nitrogen flowing over an isothermal horizontal flat plate with a heated surface facing *** are performed by varying the value ofΔT from5 to 30 K and P_(∞)/P_(cr)ratio from1.1 to *** of all the thermophysical properties of supercritical Nitrogen is *** wall temperatures are chosen in such a way that two values of Tw are less than T∗(T*is the temperature at which the fluid has a maximum value of Cp for the given pressure),one value equal to T∗and two values greater than T∗.Three different values of U∞are used to obtain Re∞range of 3.6×10_(4)to 4.74×10^(5)for forced convection without buoyancy effects and Gr_(∞)/Re^(2)_(∞)range of 0.011 to 3.107 for the case where buoyancy effects are *** different forms of correlations are proposed based on numerical predictions and are compared with actual numerical *** has been found that in all six forms of correlations,the maximum deviations are found to occur in those cases where the pseudocritical temperature TT∗lies between the wall temperature and bulk fluid temperature.

关键词： Supercritical nitrogen laminar flow numerical methods forced convection heat transfer isothermal horizontal surface

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Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths 38

Paths, Proofs, and Perfection: Developing a Human-Interpreta...

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38th AAAI Conference on Artificial Intelligence, AAAI 2024

作者： Sidorov, Konstantin de Almeida Correia, Gonçalo Homem de Weerdt, Mathijs Demirović, Emir Algorithmics Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Faculty of Civil Engineering and Geosciences Delft University of Technology Netherlands

ISBN: (纸本)1577358872

People want to rely on optimization algorithms for complex decisions but verifying the optimality of the solutions can then become a valid concern, particularly for critical decisions taken by non-experts in optimization. One example is the shortest-path problem on a network, occurring in many contexts from transportation to logistics to telecommunications. While the standard shortest-path problem is both solvable in polynomial time and certifiable by duality, introducing side constraints makes solving and certifying the solutions much harder. We propose a proof system for constrained shortest-path problems, which gives a set of logical rules to derive new facts about feasible solutions. The key trait of the proposed proof system is that it specifically includes high-level graph concepts within its reasoning steps (such as connectivity or path structure), in contrast to using linear combinations of model constraints. Using our proof system, we can provide a step-by-step, human-auditable explanation showing that the path given by an external solver cannot be improved. Additionally, to maximize the advantages of this setup, we propose a proof search procedure that specifically aims to find small proofs of this form using a procedure similar to A* search. We evaluate our proof system on constrained shortest path instances generated from real-world road networks and experimentally show that we may indeed derive more interpretable proofs compared to an integer programming approach, in some cases leading to much smaller proofs. Copyright © 2024, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Integer programming

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Optimistic Online Non-stochastic Control via FTRL 63

Optimistic Online Non-stochastic Control via FTRL

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Mhaisen, Naram Iosifidis, George Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Netherlands

ISBN: (纸本)9798350316339

This paper brings the concept of 'optimism' to the new and promising framework of online Non-stochastic Control (NSC). Namely, we study how NSC can benefit from a prediction oracle of unknown quality responsible for forecasting future costs. The posed problem is first reduced to an optimistic learning with delayed feedback problem, which is handled through the Optimistic Follow the Regularized Leader (OFTRL) algorithmic family. This reduction enables the design of OptFTRL-C, the first Disturbance Action Controller (DAC) with optimistic policy regret bounds. These new bounds are commensurate with the oracle's accuracy, ranging from O (1) for perfect predictions to the order-optimal O(ST) even when all predictions fail. By addressing the challenge of incorporating untrusted predictions into online control, this work contributes to the advancement of the NSC framework and paves the way toward effective and robust learning-based controllers. © 2024 IEEE.

关键词： Stochastic control systems

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