检索结果-内蒙古大学图书馆

6th International Conference on Renewable Energies Offshore, RENEW 2024

作者： Ahmad, I. M’zoughi, F. Aboutalebi, P. Garrido, I. Garrido, A.J. Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Engineering School of Bilbao—EIB/BIE Faculty of Engineering of Bilbao—EIB/BIE University of the Basque Country—UPV/EHU Bilbao Spain

ISBN: (纸本)9781032905570

In the pursuit of sustainable electricity generation from offshore wind and wave energy, the combination of Floating Offshore Wind Turbines (FOWTs) and Oscillating Water Columns (OWCs) has emerged as a promising solution to enhance the working lifespan of this kind of systems. This study introduces a control-focused modeling approach, using empirical data collected from the widely accepted FAST environment, to implement advanced control laws for these integrated platforms. Leveraging Long Short-Term Memory (LSTM) and Artificial Neural Networks (ANN), the research yields predictive models that effectively capture the platform pitch dynamics so as to optimize control strategies. By integrating advanced machine learning techniques, these approaches address the challenges of modeling floating offshore structures in dynamic environments. In this sense, the neuro-estimators developed in this study closely match the original plant results, offering researchers a straightforward way to implement complex control schemes that could hardly be implemented over the original non-linear system. © 2025 The Author(s).

关键词： Offshore wind turbines

来源：评论

学校读者我要写书评

暂无评论

System Class Extensions of the Modulating Function based State Reconstruction for the Advection-Diffusion-Reaction Equation

引用

IEEE Transactions on Automatic control 2025年

作者： Friedrich, Folke Fokken, Nils Noack, Matti Reger, Johann Institute for Automation and Systems Engineering Technische Universität Ilmenau Control Engineering Group Ilmenau98693 Germany

In this paper, the state estimation of distributed parameter systems (PDEs) using the Modulating Function Method is extended to systems of two or higher spatial dimensions with spatially varying coefficients and general boundary conditions. At the center of the PDE observer approach lies the construction and solvability analysis of systematically obtained kernel equations determining the modulating functions. Additionally, a method for the state estimation of a class of parabolic systems with time-varying and nonlinear parameters based on Volterra integral transformations is presented. Furthermore, a linearization based strategy to deal with nonlinear reaction terms is presented. The stability of the resulting iterative feedback algorithm is proven. Numerical simulations show the validity and robustness of the methodology in two simulated examples. © 1963-2012 IEEE.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Swarming Without an Anchor (SWA): Robot Swarms Adapt Better to Localization Dropouts Then a Single Robot

引用

IEEE Robotics and Automation Letters 2025年第6期10卷 6207-6214页

作者： Horyna, Jiří Jung, Roland Weiss, Stephan Ferrante, Eliseo Saska, Martin Czech Technical University in Prague Multi-Robot Systems Group Faculty of Electrical Engineering Technicka 2 Prague Czech Republic University of Klagenfurt Control of Networked Systems Institute of Smart Systems Technologies Klagenfurt Lakeside Park Austria Vrije Universiteit Amsterdam Department of Computer Science Amsterdam Netherlands New York University Abu Dhabi Department of Computer Science United Arab Emirates Dubai Future Labs Dubai United Arab Emirates

In this paper, we present the Swarming Without an Anchor (SWA) approach to state estimation in swarms of Unmanned Aerial Vehicles (UAVs) experiencing ego-localization dropout, where individual agents are laterally stabilized using relative information only. We propose to fuse decentralized state estimation with robust mutual perception and onboard sensor data to maintain accurate state awareness despite intermittent localization failures. Thus, the relative information used to estimate the lateral state of UAVs enables the identification of the unambiguous state of UAVs with respect to the local constellation. The resulting behavior reaches velocity consensus, as this task can be referred to as the double integrator synchronization problem. All disturbances and performance degradations except a uniform translation drift of the swarm as a whole is attenuated which is enabling new opportunities in using tight cooperation for increasing reliability and resilience of multi-UAV systems. Simulations and real-world experiments validate the effectiveness of our approach, demonstrating its capability to sustain cohesive swarm behavior in challenging conditions of unreliable or unavailable primary localization. © 2016 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Learning for predictive control: A Dual Gaussian Process approach

引用

Automatica 2025年 177卷

作者： Liu, Yuhan Wang, Pengyu Tóth, Roland Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Flight Dynamics and Control Laboratory Department of Aerospace Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

An important issue in model-based control design is that an accurate dynamic model of the system is generally nonlinear, complex, and costly to obtain. This limits achievable control performance in practice. Gaussian Process (GP) based estimation of system models is an effective tool to learn unknown dynamics directly from input/output data. However, conventional GP-based control methods often ignore the computational cost associated with accumulating data during the operation of the system and how to handle forgetting in continuous adaption. In this paper, we present a novel Dual Gaussian Process (DGP) based Model Predictive control (MPC) strategy that enables efficient use of online learning based predictive control without the danger of catastrophic forgetting. The bio-inspired DGP structure is a combination of a long-term GP and a short-term GP, where the long-term GP is used to keep the learnt knowledge in memory and the short-term GP is employed to rapidly compensate unknown dynamics during online operation. A novel recursive online update strategy for the short-term GP is proposed to successively improve the learnt model during online operation without a "dictionary" update and re-computation of the Gram matrix at each time step. Effectiveness of the proposed strategy is demonstrated via numerical simulations. © 2025

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances

arXiv

引用

arXiv 2025年

作者： Teichrib, Dieter Darup, Moritz Schulze Control and Cyber-physical Systems Group Faculty of Mechanical Engineering TU Dortmund University Germany

We present a method for representing the closed-loop dynamics of piecewise affine (PWA) systems with bounded additive disturbances and neural network-based controllers as mixed-integer (MI) linear constraints. We show that such representations enable the computation of robustly positively invariant (RPI) sets for the specified system class by solving MI linear programs. These RPI sets can subsequently be used to certify stability and constraint satisfaction. Furthermore, the approach allows to handle nonlinear systems based on suitable PWA approximations and corresponding error bounds, which can be interpreted as the bounded disturbances from above. © 2025, CC BY-NC-ND.

关键词： Mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Demonstration of the Dyna Reinforcement Learning Framework for Reactive Close Proximity Operations

Demonstration of the Dyna Reinforcement Learning Framework f...

引用

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

作者： Majumdar, Ritwik Albee, Keenan Sternberg, David C. Jia-Richards, Oliver Department of Aerospace Engineering University of Michigan Ann ArborMI United States Payload/Instrument Pointing Control Systems Engineering Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Maritime and Multi-Agent Autonomy Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Lessons from the International Space Station (ISS) emphasize the necessity of exterior inspection for anomaly detection and maintenance, but current methods rely on costly and limited human extravehicular activities and robotic arms. Deployable free-flying small spacecraft offer a flexible, autonomous solution, capable of comprehensive exterior inspections without human involvement. However, the safety of these spacecraft during close proximity operations remains a concern, particularly given uncertain variability in thruster performance. This paper presents SmallSat Steward, a reactive and integrated architecture for online model learning and trajectory planning based on the Dyna reinforcement learning architecture. By combining model-based planning and direct reinforcement learning, Dyna offers a potentially flexible and computationally-efficient solution capable of adapting to changes in thruster performance and other system uncertainties. Preliminary results in both simulation and hardware environments demonstrate the potential of this architecture to successfully regulate position under single and double thruster failures. In simulation, the Dyna-based controller outperformed an PD-LQR controller in ∼70% of all cases. On hardware, Dyna was able to eliminate the steady state error caused by thruster failures. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Space stations

来源：评论

学校读者我要写书评

暂无评论

Model-based Optimization for Laboratory-Scale Upstream Processing in Monoclonal Antibody Production 11

Model-based Optimization for Laboratory-Scale Upstream Proce...

引用

11th Vienna International Conference on Mathematical Modelling, MATHMOD 2025

作者： Pimentel, Guilherme A. Garcia-Tenorio, Camilo Fekih-Salem, Radhouane Toussaint, Cédric Kanfoud, Ahmed Cornet, Thomas Helleputte, Thibault Boes, Adrien Marega, Riccardo Wouwer, Alain Vande Dewasme, Laurent Systems Estimation Control and Optimization Group University of Mons Belgium DNAlytics Ottignies-Louvain-la-Neuve Belgium Immunobiology Laboratory CER Groupe Belgium University of Tunis El Manar National Engineering School of Tunis LAMSIN Tunisia

The production of monoclonal antibodies (mAbs) is a complex pharmacological process involving upstream and downstream chains, focusing on mAbs production and purification, respectively. This paper presents a process optimization based on an end-To-end mechanistic model for the upstream process chain to enhance the production of mAbs. Upstream processing considers cell expansion, cell production, and primary harvesting steps by filtration. The optimization results offer users the optimal initial concentrations of the medium in the bioreactors, the duration of the cultures, the feed flow rate profiles, and the permeate flow profile in the filtration operation. Simulations incorporating interconnected reactors and process constraints led to optimized initial media concentrations and feed flow profiles, resulting in a 25% increase in mAb production compared to baseline conditions. Copyright © 2025 The Authors.

关键词： Monoclonal antibodies

来源：评论

学校读者我要写书评

暂无评论

On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach

arXiv

引用

arXiv 2025年

作者： Liu, Yuhan Kiss, Máté Tóth, Roland Schoukens, Maarten Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Systems and Control Laboratory HUN-REN Institute for Computer Science and Control Budapest1111 Hungary

While optimal input design for linear systems has been well-established, no systematic approach exists for nonlinear systems, where robustness to extrapolation/interpolation errors is prioritized over minimizing estimated parameter variance. To address this issue, we develop a novel identification-oriented space-filling input design strategy for efficient covering of a well-defined region of interest. By placing a Gaussian Process (GP) prior on the joint input-state space, the proposed strategy leverages the GP posterior variance to construct a space-filling promoting input design cost function from the Bayesian point of view. This accordingly enables maximization of the coverage in the region of interest, thereby facilitating the generation of informative datasets. Furthermore, we theoretically prove that minimization of the cost function indicates the space-filling behavior. The effectiveness of the proposed strategy is demonstrated on both an academic example and a mass-spring-damper system, highlighting its potential practical impact on efficient exploration in identification scenarios for nonlinear dynamical systems. © 2025, CC BY-NC-SA.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Dynamic modeling and simulation of blade-casing system with rubbing considering time-varying stiffness and mass of casing

引用

Applied Mathematics and Mechanics(English Edition) 2025年第5期46卷 849-868页

作者： Hui MA Hong GUAN Lin QU Xumin GUO Qinqin MU Yao ZENG Yanyan CHEN School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of ChinaNortheastern UniversityShenyang 110819China Sunny Optical Technology(Group)Co.Ltd. Ningbo 315400Zhejiang ProvinceChina Aircraft Strength Institute of China Xi’an 710065China AECC Sichuan Gas Turbine Research Institute Chengdu 610500China

As a common fault of the aero-engine,the blade-casing rubbing(BCR)has the potential to cause catastrophic *** this paper,to investigate the dynamic responses and wear characteristics of the system,the laminated shell element is used to establish the finite element model(FEM)of a flexibly coated casing *** the shell element,the blade is modeled,and the surface stress of the blade is *** stress-solving method of the blade is validated through comparisons with the measured time-domain waveform of the ***,a dynamic model of a blade-flexibly coated casing system with rubbing is proposed,accounting for the time-varying mass and stiffness of the casing caused by coating *** effects of the proposed flexible casing model are compared with those of a rigid casing model,and the stress changes induced by rubbing are *** results show that the natural characteristics of the coated casing decrease due to the coating *** flexibly coated casing model is found to be more suitable for studying casing ***,the stress changes caused by rubbing are slight,and the change in the stress maximum is approximately 5%under the influence of the abrasive coating.

关键词： dynamic modeling flexibly coated casing rubbing coating wear nonlinear vibration

来源：评论

学校读者我要写书评

暂无评论

Unraveling tensor structures in correct-by-design controller synthesis

arXiv

引用

arXiv 2025年

作者： Wang, Ruohan Sun, Zhiyong Haesaert, Sofie Department of Electrical Engineering Control Systems Group Eindhoven University of Technology Netherlands Department of Mechanics and Engineering Science State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China

Formal safety guarantees on the synthesis of controllers for stochastic systems can be obtained using correct-by-design approaches. These approaches often use abstractions as finite-state Markov Decision Processes (MDPs). As the state space of these MDPs grows, the curse of dimensionality makes the computational and memory cost of the probabilistic guarantees, quantified with dynamic programming, scale exponentially. In this work, we leverage decoupled dynamics and unravel, via dynamic programming operations, a tree structure in the Canonical Polyadic Decomposition (CPD) of the value functions. For discrete-time stochastic systems with syntactically co-safe linear temporal logic (scLTL) specifications, we provide provable probabilistic safety guarantees and significantly alleviate the computational burden. We provide numerical studies and validations of the theoretical results on several typical case studies and showcase that the uncovered tree structure enables efficient reductions in the computational burden. Copyright © 2025, The Authors. All rights reserved.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：