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arXiv 2024年

作者： Rahman, Salahuddin Abdul Karabacak, Özkan Wisniewski, Rafal Section of Automation and Control Department of Electronic Systems Aalborg University Aalborg Denmark Department of Mechatronics Engineering Kadir Has University Istanbul Turkey

Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum algorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calculating excited states. Inspired by the weighted subspace-search variational quantum eigensolver algorithm, we propose a novel weighted feedback-based quantum algorithm for excited state calculation. We show that depending on how we design the weights and the feedback law, we can prepare the pth excited state or lowest energy states up to the pth excited state. Through an application in quantum chemistry, we show the effectiveness of the proposed algorithm, evaluating its efficacy via numerical simulations. © 2024, CC BY.

关键词： Hamiltonians

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Local Rational Modeling for Identification Beyond the Nyquist Frequency: Applied to a Prototype Wafer Stage

arXiv

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arXiv 2025年

作者： van Haren, Max Blanken, Lennart Classens, Koen Oomen, Tom Control Systems Technology Section Department of Mechanical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Sioux Technologies Eindhoven5633 AA Netherlands Delft Center for Systems and Control Delft University of Technology Delft2628 CD Netherlands

Fast-rate models are essential for control design, specifically to address intersample behavior. The aim of this paperis to develop a frequency-domain non-parametric identification technique to estimate fast-rate models of systems that have relevant dynamics and allow for actuation above the Nyquist frequency of a slow-rate output. Examples of such systems include vision-in-the-loop systems. Through local rational models over multiple frequency bands, aliased components are effectively disentangled, particularly for lightly-damped systems. The developed technique accurately determines non-parametric fast-rate models of systems with slow-rate outputs, all within a single identification experiment. Finally, the effectiveness of the technique is demonstrated through experiments conducted on a prototype wafer stage used for semiconductor manufacturing. © 2025, CC BY-NC-ND.

关键词： Frequency domain analysis

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Artificial neural network-based direct power control to enhance the performance of a PMSG-wind energy conversion system under real wind speed and parameter uncertainties: An experimental validation

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Energy Reports 2024年 11卷 4356-4378页

作者： Majout, Btissam Bossoufi, Badre Karim, Mohammed Skruch, Pawel Mobayen, Saleh El Mourabit, Youness El Zair Laggoun, Zakaria Laboratory of Engineering Modelling and Systems Analysis SMBA University Fez Morocco Department of Automatic Control and Robotics AGH University of Krakow Poland Graduate School of Intelligent Data Science National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan National School of Applied Sciences Abdelmalek Essaadi University Tetouan Morocco Laboratory of Electrotechnique Constantine Mentouri Brothers Constantine 1 University Constantine Algeria

With the increasing emphasis on embedding advanced technology into system controls, the Direct Power control (DPC) approach has garnered considerable attention due to its simple and highly adaptable algorithm. This approach has been increasingly recognized in numerous applications. However, the variable frequency, harmonic distortion of the currents, and power ripples caused by Hysteresis controllers and switching tables decrease its effectiveness and robustness, affecting the system's performance. For this reason, this paper proposed a new DPC based on Artificial Neural Network (ANN) approaches. In this approach, the hysteresis comparator and the switching table are substituted with ANN controllers and then applied on both sides: machine-side converter (MSC) and grid-side converter (GSC) of a Permanent Magnet Synchronous Generator based Wind Energy Conversion System (PMSG-WECS). Moreover, to make the system more efficient in varying wind conditions, this study expands the utilization of the artificial neural networks (ANN) to encompass the maximum power point tracking (MPPT) control strategy. To demonstrate the effectiveness of the proposed approach on the system behaviors, a simulation test was carried out in the Matlab/Simulink environment, using a real wind profile of a Moroccan city (Essaouira). In comparison to the classical DPC control, the simulation results showed the superior performance of the proposed ANN-DPC control in terms of reference tracking, response time, overshoot, precision, and its capacity to reduce the rate of power ripples and total harmonic distortion (THD) in the injected currents. Furthermore, a robustness test was also included in this work to check the robustness of the proposed control against parameters variation. In conclusion, the feasibility and effectiveness of the ANN-DPC control approach were confirmed through experimental validation using the dSPACE DS1104 board. © 2024 The Authors

关键词： MATLAB

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Iterative Robust Experiment Design for MIMO System Identification via the S-Lemma

Iterative Robust Experiment Design for MIMO System Identific...

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control Technology and Applications (CCTA),

作者： Nic Dirkx Koen Tiels Tom Oomen ASML Veldhoven The Netherlands Dept. of Mechanical Engineering Control Systems Technology Eindhoven University of Technology Eindhoven The Netherlands Department of Mechanical Engineering Control Systems Technology Section Eindhoven University of Technology Eindhoven The Netherlands Delft Center for Systems and Control Delft University of Technology Delft The Netherlands

Optimal input design plays an important role in system identification for complex and multivariable systems. A known paradox in input design is that the optimal inputs depend on the true but unknown system. The aim of this paper is to design inputs for multivariable systems that are robust to all system variations within a given continuous uncertainty set. In the presented approach, the robust design problem is cast as an infinite-dimensional min-max optimization problem, and tackled via the S-lemma in an iterative approximation scheme. Experimental results from a multivariable motion system show that the algorithm enables significant robustness improvements.

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Electrified Solutions as Required by a Specific Strategic Research Agenda for Mitigating the Environmental Impact of Future Aircraft

Electrified Solutions as Required by a Specific Strategic Re...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Oyori, Hitoshi Hirakawa, Karin Chiaki, Kaori Yamamoto, Yasuhiko Muraoka, Mikio Strategic Technologies Div IHI corporation Koto-ku Tokyo135-8710 Japan Control Systems Engineering Dept IHI corporation Koto-ku Tokyo135-8710 Japan Advanced functional element development section Akita industrial technology center Akita-shi Akita010-1623 Japan Engineering Science Akita University Akita-shi Akita010-8502 Japan

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Progress is being made in the technological development of Electrified Solutions (EleX) to improve fuel efficiency and the application of hydrogen in the next generation of passenger aircraft in the 2030s. This paper discusses the feasibility of EleX, which has not yet been achieved and the challenges of electrification as a life cycle beyond decarbonization, as well as future electrification technology strategies for the 2040s and beyond. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Aircraft fuels

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Entropy for incremental stability of nonlinear systems under disturbances

Entropy for incremental stability of nonlinear systems under...

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IEEE Conference on Decision and control

作者： Michelle S. Chong Department of Mechanical Engineering Control Systems Technology section Eindhoven University of Technology

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Entropy notions for ε-incremental practical stability and incremental stability of deterministic nonlinear systems under disturbances are introduced. The entropy notions are constructed via a set of points in state space which induces the desired stability properties, called an approximating set. We provide conditions on the system which ensures that the approximating set is finite. Lower and upper bounds for the two estimation entropies are computed. The construction of the finite approximating sets induces a robust state estimation algorithm for systems under disturbances using quantized and time-sampled measurements.

关键词： Upper bound Approximation algorithms Entropy Nonlinear systems State estimation

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Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors

arXiv

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arXiv 2023年

作者： van Meer, Max González, Rodrigo A. Witvoet, Gert Oomen, Tom The Control Systems Technology section Department of Mechanical Engineering Eindhoven University of Technology Netherlands The Department of Optomechatronics TNO Delft Netherlands The Delft Center for Systems and Control Delft University of Technology Delft Netherlands

Switched Reluctance Motors (SRMs) enable power-efficient actuation with mechanically simple designs. This paper aims to identify the nonlinear relationship between torque, rotor angle, and currents, to design commutation functions that minimize torque ripple in SRMs. This is achieved by conducting specific closed-loop experiments using purposely imperfect commutation functions and identifying the nonlinear dynamics via Bayesian estimation. A simulation example shows that the presented method is robust to position-dependent disturbances, and experiments suggest that the identification method enables the design of commutation functions that significantly increase performance. The developed approach enables accurate identification of the torque-current-angle relationship in SRMs, without the need for torque sensors, an accurate linear model, or an accurate model of position-dependent disturbances, making it easy to implement in production. © 2023, CC BY-NC-ND.

关键词： Reluctance motors

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A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain systems

A Two-dimensional Spatial Optimization Framework for Vehicle...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Jorn van Kampen Mauro Salazar Theo Hofman Department of Mechanical Engineering Control Systems Technology section Eindhoven University of Technology (TU/e) Eind-hoven MB The Netherlands

This paper presents a modeling framework to optimize the two-dimensional placement of powertrain elements inside the vehicle, explicitly accounting for the rotation, relative placement and alignment. Specifically, we first capture the multi-level nature of the system mathematically, and construct a model that captures different powertrain component orientations. Second, we include the relative element placement as variables in the model and derive alignment constraints for both child components and parent subsystems to automatically connect mechanical ports. Finally, we showcase our framework on a four-wheel driven electric vehicle. Our results demonstrate that our framework is capable of efficiently generating system design solutions in a fully automated manner, only using basic component properties.

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Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors

Nonlinear Bayesian Identification for Motor Commutation: App...

引用

IEEE Conference on Decision and control

作者： Max van Meer Rodrigo A. González Gert Witvoet Tom Oomen Department of Mechanical Engineering Control Systems Technology section Eindhoven University of Technology The Netherlands Department of Optomechatronics TNO Delft The Netherlands Delft Center for Systems and Control Delft University of Technology Delft The Netherlands

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System Identification Beyond the Nyquist Frequency: A Kernel-Regularized Approach

arXiv

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arXiv 2025年

作者： van Haren, Max Smith, Roy S. Oomen, Tom Department of Mechanical Engineering Control Systems Technology Section Eindhoven University of Technology Groene Loper 5 Eindhoven5612 AE Netherlands Automatic Control Laboratory ETH Zürich Zürich8092 Switzerland Delft Center for Systems and Control Delft University of Technology Mekelweg 2 Delft2628 CN Netherlands

Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique for fast-rate models of systems where only slow-rate output measurements are available, e.g., vision-in-the-loop systems. In this paper, the intersample response is estimated by identifying fast-rate models through least-squares criteria, and the limitations of these models are determined. In addition, a method is developed that surpasses these limitations and is capable of estimating unique fast-rate models of arbitrary order by regularizing the least-squares estimate. The developed method utilizes fast-rate inputs and slow-rate outputs and identifies fast-rate models accurately in a single identification experiment. Finally, both simulation and experimental validation on a prototype wafer stage demonstrate the effectiveness of the framework. © 2025, CC BY-NC-ND.

关键词： Decentralized systems

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