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AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023

作者： de Frutos, Víctor M. Parra, Juan R. Esteban, Sergio Bordons, Carlos Systems Engineering and Automatic Control Escuela Técnica Superior de Ingeniería de Sevilla Universidad de Sevilla Sevilla Spain Aeroespace Engineering Department Escuela Técnica Superior de Ingeniería de Sevilla Universidad de Sevilla Sevilla Spain

ISBN: (纸本)9781624107047

This work presents a methodology to analyze the hybridization use of fuel cells, batteries, and combustion engines to supply the power needed for flight in all the phases. The analysis is performed on a case study analyzing the diagram Payload vs. Range for different degrees of hybridization and solutions as well as different technology levels of the main components of the propulsion system based on fuel cells. The penalty in the utilization of hydrogen with fuel cells in the aircraft is high. Several hybridization strategies are analyzed to comply with more demanding sizing requirements as take-off. The calculation methodology is applied for regional aircraft to evaluate the impact of the introduction of fuel cell as a propulsion system in an existing platform and extended to other aviation segments. The objective of the presented work is to determine if green propulsion with fuel cells is possible, and in which flight segments is more suitable, so it is analyzed the improvement needed in the fuel cell technologies and energy storage and also different A/C are analyzed. Finally, it is faced the impact in the design point of the aircraft for the introduction of this new technology. © 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Fuel cells

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Dynamics Loads of the Automated Electric Drive for Moving FKM-500 Filter-Press Plates 5

Dynamics Loads of the Automated Electric Drive for Moving FK...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Khrebtova, Oksana Zachepa, Iurii Zachepa, Nataliia Nekrasov, Andriy Pavlo, Kvitash Hrytsai, Oleksandr Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Electrical Engineering Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Jurisprudence Sciences Kremenchuk Ukraine

ISBN: (纸本)9798350359787

Operational loads have both static and dynamic characteristics. Dynamic loads occur during the operation of the considered mechanism, both during acceleration and deceleration periods, as well as during steady motion due to the movement of the moving element along an uneven path caused by the presence of the working environment on the elements over which the filter-press plates are moving. The dynamic loading is significant and affects the formation of plate-side displacements during their movement while performing the technological operation. Experimental studies of the load on the movement elements were conducted to determine optimal control modes for the filter-press plate movement mechanism, aiming to avoid overloading during stopping and filter jamming. To analyze the loading, discretization of random processes of the filter movement mechanism loading was performed. The sequence of calculating the statistical characteristics of the schematized dynamic process is presented. Based on experimental data, mathematical calculation of the results of schematization and the type of probability distribution law was carried out. To select the law that best reflects the experimental data distribution of load amplitudes, the Kolmogorov-Smirnov goodness-of-fit criterion was applied. According to the calculation results, it was found that the Weibull distribution law adequately reflects the distribution of amplitudes since its corresponding Kolmogorov-Smirnov criterion value is the smallest. © 2023 IEEE.

关键词： Dynamic loads

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On Convergence in Distribution of Stein's Unbiased Risk Hyper-parameter Estimator for Regularized System Identification 41

On Convergence in Distribution of Stein's Unbiased Risk Hype...

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第41届中国控制会议

作者： Yue Ju Tianshi Chen Biqiang Mu Lennart Ljung School of Data Science and Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and System ScienceChinese Academy of Sciences Division of Automatic Control Department of Electrical EngineeringLink?ping University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Asymptotic theory for the regularized system identification has received increasing interests in recent *** this paper,for the finite impulse response(FIR) model and filtered white noise inputs,we show the convergence in distribution of the Stein's unbiased risk estimator(SURE) based hyper-parameter estimator and find factors that influence its convergence *** particular,we consider the ridge regression case to obtain closed-form expressions of the limit of the regression matrix and the variance of the limiting distribution of the SURE based hyper-parameter estimator,and then demonstrate their relation numerically.

关键词： Asymptotic theory Stein's unbiased risk estimator Hyper-parameter estimator Regularized system identification

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On output consensus of heterogeneous dynamical networks

arXiv

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arXiv 2024年

作者： Su, Yongkang Su, Lanlan Khong, Sei Zhen Department of Automatic Control & Systems Engineering University of Sheffield Sheffield United Kingdom Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung80424 Taiwan

This work is concerned with interconnected networks with non-identical subsystems. We investigate the output consensus of the network where the dynamics are subject to external disturbance and/or reference input. For a network of output-feedback passive subsystems, we first introduce an index that characterises the gap between a pair of adjacent subsystems by the difference of their input-output trajectories. The set of these indices quantifies the level of heterogeneity of the networks. We then provide a condition in terms of the level of heterogeneity and the connectivity of the networks for ensuring the output consensus of the interconnected network. Copyright © 2024, The Authors. All rights reserved.

关键词： Heterogeneous networks

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Disturbance Attenuation in the Euler–Bernoulli Beam with Viscous and Kelvin–Voigt Damping via Piezoelectric Actuators

Disturbance Attenuation in the Euler–Bernoulli Beam with Vi...

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IEEE Conference on Decision and control

作者： Anton Selivanov Emilia Fridman Department of Automatic Control and Systems Engineering The University of Sheffield UK School of Electrical Engineering Tel Aviv University Israel

We design a state-feedback controller, applied via piezoelectric actuators, that suppresses the effect of a distributed disturbance in the Euler-Bernoulli beam with viscous and Kelvin-Voigt damping. The controller is designed to improve performance on a finite number of modes. Its effect on the remaining (infinitely many) modes is analysed by constructing an appropriate Lyapunov functional, whose properties are guaranteed by the feasibility of linear matrix inequalities (LMIs). The LMIs allow us to design suitable controller gain and estimate the induced $L^2$ gain. A numerical example demonstrates how this modal decomposition approach leads to a controller that significantly reduces the $L^2$ gain.

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Enhancing 3D Human Skeleton Key-point Detection through Weakly Supervised Learning and Multi-level Attention Mechanisms

Enhancing 3D Human Skeleton Key-point Detection through Weak...

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Data Science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Meng Xu Yuanhao Gong Sanja Dogramadzi Department of Automatic Control and Systems Engineering University of Sheffield S10 2TN Sheffield Faculty of Electronics and Information Engineering Shenzhen University Department of Automatic Control and Systems Engineering University of Sheffield S10 2TN

With the soaring interest in understanding the dynamics of human body skeletons for applications such as action recognition and video understanding, the significance of precise 3D key-point detection has become increasingly prominent. Despite the advancements, existing approaches struggle to address the issues of occlusions and limited annotated data. This paper proposes a novel framework integrating a multilevel attention mechanism and weakly supervised 3D key-point generation to tackle these prevalent issues, enhancing both the accuracy and efficiency of human pose estimation.

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An Adaptive CUSUM Approach for Automating Sleep Apnoea Analysis Based on Pulse and Oximetry Data 20

An Adaptive CUSUM Approach for Automating Sleep Apnoea Analy...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Yang, Dongjin Bhargava, Eishaan Elphick, Heather Mihaylova, Lyudmila S. University of Sheffield Dept. of Automatic Control and Systems Engineering United Kingdom Sheffield Children's Hospital Department of Paediatric Otolaryngology Sheffield United Kingdom Sheffield Children's Hospital Department of Paediatric Respiratory and Sleep Medicine Sheffield United Kingdom

ISBN: (纸本)9798350320831

Sleep apnoea is a common sleep disorder during human sleep. It is usually diagnosed by a doctor after recording one nights' sleep signals. Patients have to go to the hospital to record sleep signals, which is time-consuming and resource-intensive. The study focused on two signals, pulse data and oximetry data, with the aim of detecting apnoea using a single signal. This paper introduced an anomaly detection approach using the adaptive cumulative sum (ACUSUM) change point detection algorithm to monitor outliers in the signal. In addition, the test results of ACUSUM will be compared with the test results of classical CUSUM. Besides, the threshold selection has been changed from an unchanging constant to a value related to the standard deviation of the selected signal based on a rational subgroup process. The results of the comparison confirm that ACUSUM is better than classical CUSUM in the accuracy of automatic detection. © 2023 IEEE.

关键词： Anomaly detection

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Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning

Uncertainty-Informed Model Selection Method for Nonlinear Sy...

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Mediterranean Conference on control and Automation (MED)

作者： Yuanlin Gu Hua-Liang Wei Division of Computer Science and Maths University of Stirling Stirling United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Sheffield

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

Modeling uncertainty has been an active and important topic in the fields of data-driven modeling and machine learning. Uncertainty ubiquitously exists in any data modeling process, making it challenging to identify the optimal models among many potential candidates. This article proposes an uncertainty-informed method to address the model selection problem. The performance of the proposed method is evaluated on a dataset generated from a complex system model. The experimental results demonstrate the effectiveness of the proposed method and its superiority over conventional approaches. This method has minimal requirements for the length of training data and model types, making it applicable for various modeling frameworks.

关键词： Data-driven modeling Adaptation models Uncertainty Recurrent neural networks Training data Machine learning Data models

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Reinforcement Learning-Based Output Stabilization control for Nonlinear systems With Generalized Disturbances

Reinforcement Learning-Based Output Stabilization Control fo...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Zezhi Tang J Anthony Rossiter Yi Dong George Panoutsos Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Department of Electronics and Computer Science University of Southampton Southampton United Kingdom

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

This paper proposes a new disturbance observer (DO)-based reinforcement learning (RL) control approach for nonlinear systems with unmatched (generalized) disturbances. While a nonlinear disturbance observer (NDO) is utilized to measure the plant uncertainties, disturbances can exist in the plant via distinct channels from those of the control signals; so-called mismatched disturbances are theoretically difficult to attenuate within the channel of the system's states. A generalized disturbance observer-based compensator is implemented to address the uncertainty cancellation problem by removing the influence of uncertainties from the output channels. Con-currently, a composite actor-critic RL scheme is utilized for approximating the optimal control policy as well as the ideal value function pertaining to the compensated system by solving a Hamilton-Jacobi-Bellman (HJB) equation for both online and offline iterations simultaneously. Stability analysis verifies the convergence of the proposed framework. Simulation results are included to illustrate the effectiveness of the proposed scheme.

关键词： Uncertainty Simulation Measurement uncertainty Optimal control Estimation Reinforcement learning Disturbance observers

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Homotopic Optimization for Autonomous Vehicle Maneuvering

Homotopic Optimization for Autonomous Vehicle Maneuvering

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IEEE Symposium on Intelligent Vehicle

作者： Jian Zhou Arvind Balachandran Björn Olofsson Lars Nielsen Erik Frisk Department of Electrical Engineering Division of Vehicular Systems Linköping University Linköping Sweden Department of Automatic Control Lund University Lund Sweden

ISBN: (数字)9798350348811

ISBN: (纸本)9798350348828

Optimization of vehicle maneuvers using dynamic models in constrained spaces is challenging. Homotopic optimization, which has shown success for vehicle maneuvers with kinematic models, is studied in the case where the vehicle model is governed by dynamic equations considering road-tire interactions. This method involves a sequence of optimization problems that start with a large free space. By iteration, this space is progressively made smaller until the target problem is reached. The method uses a homotopy index to iterate the sequence of optimizations, and the method is verified by solving challenging maneuvering problems with different road surfaces and entry velocities using a double-track vehicle dynamics model. The main takeaway is that homotopic optimization is also efficient for dynamic vehicle models at the limit of road-tire friction, and it demonstrates capabilities in solving demanding maneuvering problems compared with alternative methods like stepwise initialization and driver model-based initialization.

关键词： Space vehicles Roads Friction Kinematics Mathematical models Indexes Vehicle dynamics

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