检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Tegling, Emma Bamieh, Bassam Sandberg, Henrik Department of Automatic Control Lund University P.O. Box 118 LundSE-221 00 Sweden Department of Mechanical Engineering The University of California at Santa Barbara Santa BarbaraCA93106 United States School of Electrical Engineering and Computer Science KTH Royal Institute of Technology StockholmSE-100 44 Sweden

We consider distributed consensus in networks where the agents have integrator dynamics of order two or higher (n ≥ 2). We assume all feedback to be localized in the sense that each agent has a bounded number of neighbors and consider a scaling of the network through the addition of agents in a modular manner, i.e., without re-tuning controller gains upon addition. We show that standard consensus algorithms, which rely on relative state feedback, are subject to what we term scale fragilities, meaning that stability is lost as the network scales. For high-order agents (n ≥ 3), we prove that no consensus algorithm with fixed gains can achieve consensus in networks of any size. That is, while a given algorithm may allow a small network to converge, it causes instability if the network grows beyond a certain finite size. This holds in families of network graphs whose algebraic connectivity, that is, the smallest non-zero Laplacian eigenvalue, is decreasing towards zero in network size (e.g. all planar graphs). For second-order consensus (n = 2) we prove that the same scale fragility applies to directed graphs that have a complex Laplacian eigenvalue approaching the origin (e.g. directed ring graphs). The proofs for both results rely on Routh-Hurwitz criteria for complex-valued polynomials and hold true for general directed network graphs. We survey classes of graphs subject to these scale fragilities, discuss their scaling constants, and finally prove that a sub-linear scaling of nodal neighborhoods can suffice to overcome the issue. Copyright © 2022, The Authors. All rights reserved.

关键词： State feedback

来源：评论

学校读者我要写书评

暂无评论

A review of cooperative path planning of an unmanned aerial vehicle group

引用

Frontiers of Information technology & Electronic Engineering 2020年第12期21卷 1671-1694页

作者： Hao ZHANG Bin XIN Li-hua DOU Jie CHEN Kaoru HIROTA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081China Department of Computational Intelligence and Systems Science Tokyo Institute of TechnologyTokyo 1528550Japan

As a cutting-edge branch of unmanned aerial vehicle(UAV)technology,the cooperation of a group of UAVs has attracted increasing attention from both civil and military sectors,due to its remarkable merits in functionality and flexibility for accomplishing complex extensive tasks,e.g.,search and rescue,fire-fighting,reconnaissance,and *** path planning(CPP)is a key problem for a UAV group in executing tasks *** this paper,an attempt is made to perform a comprehensive review of the research on CPP for UAV ***,a generalized optimization framework of CPP problems is proposed from the viewpoint of three key elements,i.e.,task,UAV group,and environment,as a basis for a comprehensive classification of different types of CPP *** following the proposed framework,a taxonomy for the classification of existing CPP problems is proposed to describe different kinds of CPPs in a unified ***,a review and a statistical analysis are presented based on the taxonomy,emphasizing the coordinative elements in the existing CPP *** addition,a collection of challenging CPP problems are provided to highlight future research directions.

关键词： Unmanned aerial vehicle group Cooperation Path planning Optimization problem

来源：评论

学校读者我要写书评

暂无评论

Intelligent Technologies for Ecomonitoring Data Processing in Conditions of Technogenic Emergencies

Intelligent Technologies for Ecomonitoring Data Processing i...

引用

International Conference on Modern Electrical and Energy systems (MEES)

作者： Volodymyr Bakharev Andrii Perekrest Volodymyr Chenchevoi Olga Chencheva Svitlana Malyk Domanetskyi Andrii Department of Civil and Labour Safety Geodesy and Land Management Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Department of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Department of Systems of Automatic Control and Electric Drive Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Kremenchug Medical College named after V.I. Lytvynenko Kremenchuk Ukraine

ISBN: (纸本)9798350346848

The paper considers the importance of expanding the possibilities of environmental monitoring of environmental air parameters in the event of man-made emergencies. Software and hardware solutions have been developed for visualization and analysis of data from public environmental monitoring systems in normal and emergency situations using Power BI and Vaisala devices. The integration of various subsystems for measuring atmospheric air and microclimate indicators in a single computer system with a single software interface was carried out.

关键词： Atmospheric measurements Surface contamination Hydrogen Software Pollution measurement Environmental monitoring Sulfur

来源：评论

学校读者我要写书评

暂无评论

Stability and H∞ performance analysis of stochastic linear networked and quantized control systems

arXiv

引用

arXiv 2021年

作者： Ren, Wei Xiong, Junlin Division of Decision and Control Systems EECS KTH Royal Institute of Technology StockholmSE-10044 Sweden Department of Automation University of Science and Technology of China HefeiAnhui230026 China

This paper studies the stability and H∞performance analysis problem for linear networked and quantized control systems with both communication delays random packet losses. To deal with the network-induced uncertainties and random packet dropouts, a novel discrete-time stochastic system model is developed for continuous-time networked control systems, and further overapproximated via a polytopic system with norm-bounded uncertainty. Based on the overapproximated system model, sufficient conditions are established for linear networked and quantized control systems in different cases to guarantee input-to-state stability and H∞ performance with respect to the network-induced errors. Finally, a numerical example is presented to illustrated the developed results. Copyright © 2021, The Authors. All rights reserved.

关键词： Networked control systems

来源：评论

学校读者我要写书评

暂无评论

A Robust Method for Dual Faceted Linearization

引用

IFAC-PapersOnLine 2020年第2期53卷 6095-6100页

作者： Yusuke Igarashi Masaki Yamakita Jerry Ng H. Harry Asada Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan Department of Mechanical Engineering Massachusetts Institute of Technology Massachusetts USA

The dynamics of nonlinear systems become linear systems when lifted to higher or infinite dimensional spaces. We call such linear system representations and approximations, ‘lifting linear’ representations. The lifting linear representations are linear system representations that are closer to the original systems than Taylor series approximations. Once we have such a linear system representation, we can apply linear control theory to the nonlinear systems. In Model Predictive control (MPC), the computation time is reduced because the nonlinear optimization problem becomes a convex quadratic optimization problem. In this paper, we propose a method to make Dual Faceted Linearization (DFL) robust for uncertainties of the plants. It will be shown that the proposed method can yield a lifting linearization leading to better control results for MPC by numerical examples.

关键词： Lifting Linearization Model Predictive control(MPC) Nonlinear System control Robustification Optimal control

来源：评论

学校读者我要写书评

暂无评论

Effects of thermo-magneto-electro nonlinearity characteristics on the stability of functionally graded piezoelectric beam

引用

Applied Mathematics and Mechanics(English Edition) 2020年第2期41卷 313-326页

作者： Haohao BI Bo WANG Zichen DENG Shuodao WANG Department of Applied Mathematics Northwestern Polytechnical UniversityXi’an 710072China Ministry of Industry and Information Technology Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical UniversityXi’an 710072China Department of Mechanical Engineering Northwestern Polytechnical UniversityXi’an 710072China School of Mechanical and Aerospace Engineering Oklahoma State UniversityOklahoma 74078U.S.A.

Due to the increasing interests in using functionally graded piezoelectric materials(FGPMs) in the design of advanced micro-electro-mechanical systems, it is important to understand the stability behaviors of the FGPM beams. In this study, considering the effects of geometrical nonlinearity, temperature, and electricity in the constitutive relations and the effect of the magnetic field on the FGPM beam, the Euler-Bernoulli beam model is adopted, and the nonlinear governing equation of motion is derived via Hamilton's principle. A perturbation method, which can decompose the deflection into static and dynamic components, is utilized to linearize the nonlinear governing equation. Then,a dynamic stability analysis is carried out, and the approximate analytical solutions for the nonlinear frequency and boundary frequencies of the unstable region are *** examples are performed to verify the present analysis. The effects of the static deflection, the static load factor, the temperature change, and the magnetic field flux on the stability behaviors of the FGPM beam are discussed. From the proposed analytical solutions and numerical results, one can easily and clearly find the effects of various controlled parameters, such as geometric and physical properties of the system, on the mechanical behaviors of structures, and the conclusions are very important and useful for the design of micro-devices.

关键词： functionally graded piezoelectric material(FGPM) geometrical nonlinearity stability analysis

来源：评论

学校读者我要写书评

暂无评论

Induced OWA operators in linear regression

Induced OWA operators in linear regression

引用

作者： Flores-Sosa, Martha Avilés-Ochoa, Ezequiel Merigó, José M. University Autonomous of Occidente Culiacán Mexico School of Information Systems and Modelling Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW Australia Department of Management Control and Information Systems School of Economics and Business University of Chile Santiago Chile

The induced ordered weighted average (IOWA) is an aggregation operator that provides a parameterized family of operators between the minimum and the maximum. This work presents a new application that uses the simple linear regression (LR) and the IOWA operator in the same formulation. We study some of its main properties and particular cases. The main advantage of the linear regression IOWA operator is that it unifies the IOWA operator with the linear regression in the same formulation considering the degree of optimism and pessimism of the decision maker. Thus, we can under- or over- estimate the regression according to complex attitudes that the decision may have in the analysis. The work ends analyzing the applicability of this new approach in a problem regarding exchange rate forecasting. The objective of the new approach is to analyze the information in a more complete way. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Linear regression

来源：评论

学校读者我要写书评

暂无评论

SOLPS-ITER simulation of an X-point radiator in TCV

arXiv

引用

arXiv 2023年

作者： Sun, G. Pan, O. Bernert, M. Carpita, M. Duval, B.P. Février, O. Koenders, J.T.W. Reimerdes, H. Theiler, C. Wiesen, S. Colandrea, C. Gorno, S. Huett, E. Max-Planck-Institut für Plasmaphysik Garching85748 Germany DIFFER-Dutch Institute for Fundamental Energy Research Eindhoven Netherlands Department of Mechanical Engineering Control Systems Technology Group Eindhoven University of Technology Eindhoven Netherlands Forschungszentrum Jülich GmbH Institut für Energie- und Klimaforschung - Plasmaphysik Jülich52425 Germany LausanneCH-1015 Switzerland

SOLPS-ITER simulation is performed to reproduce the X-point radiator recently observed in nitrogen-seeded TCV experiments, which is a scenario that may be favorable to solve the power exhaust problems in future fusion devices. The simulations reveal the transition from the detached regime without XPR to the XPR regime, when increasing the nitrogen seeding rate. A cold X-point core surrounded by ionizing and radiative mentals is formed inside the separatrix and slightly above the X-point, where more than 90% of the total input power is dissipated. The cold X-point core exhibits a temperature of approximately 1eV and features high recombination rate to host the convective fluxes from the ionizing mental. Increasing nitrogen seeding rate also moves the nitrogen ionization front away from the target faster than the nitrogen stagnation point, which enhances the divertor nitrogen leakage to the main chamber and benefits the XPR region cooling. Carbon radiation decreases as the nitrogen seeding increases, and carbon radiation contributes to above 5% of the core impurity radiation before entering the XPR, which decreases to 2.8% when reaching the XPR. Both baffled and unbaffled divertor geometries are simulated and compared, showing that baffles facilitate the access to XPR by increasing the X-point neutral density, but requires higher seeding rate to enter the XPR regime. © 2023, CC BY.

关键词： Fusion reactor divertors

来源：评论

学校读者我要写书评

暂无评论

An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments

arXiv

引用

arXiv 2022年

作者： Han, Zhichao Wu, Yuwei Li, Tong Zhang, Lu Pei, Liuao Xu, Long Li, Chengyang Ma, Changjia Xu, Chao Shen, Shaojie Gao, Fei State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Huzhou Institute of Zhejiang University Huzhou313000 China Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

As a core part of autonomous driving systems, motion planning has received extensive attention from academia and industry. However, real-time trajectory planning capable of spatial-temporal joint optimization is challenged by nonholonomic dynamics, particularly in the presence of unstructured environments and dynamic obstacles. To bridge the gap, we propose a real-time trajectory optimization method that can generate a high-quality whole-body trajectory under arbitrary environmental constraints. By leveraging the differential flatness property of car-like robots, we simplify the trajectory representation and analytically formulate the planning problem while maintaining the feasibility of the nonholonomic dynamics. Moreover, we achieve efficient obstacle avoidance with a safe driving corridor for unmodelled obstacles and signed distance approximations for dynamic moving objects. We present comprehensive benchmarks with State-of-the-Art methods, demonstrating the significance of the proposed method in terms of efficiency and trajectory quality. Real-world experiments verify the practicality of our algorithm. We will release our codes for the research community.1 Copyright © 2022, The Authors. All rights reserved.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them

引用

IFAC-PapersOnLine 2021年第6期54卷 232-237页

作者： S.A.N. Nouwens B. de Jager M. Paulides W.P.M.H. Heemels Eindhoven University of Technology Mechanical Engineering - Control Systems Technology Rotterdam The Netherlands Electrical Engineering - Electromagnetics for Care & Cure Lab Rotterdam The Netherlands Eindhoven The Netherlands Erasmus University Medical Center Cancer Institute Department of Radiotherapy Rotterdam The Netherlands

Model Predictive control (MPC) is a successful control methodology, which is applied to increasingly complex systems. However, real-time feasibility of MPC can be challenging for complex systems, certainly when an (extremely) large number of constraints have to be adhered to. For such scenarios with a large number of state constraints, this paper proposes two novel MPC schemes for general nonlinear systems, which we call constraint-adaptive MPC. These novel schemes dynamically select at each time step a (varying) set of constraints that are included in the on-line optimization problem. Carefully selecting the included constraints can significantly reduce, as we will demonstrate, the computational complexity with often only a slight impact on the closed-loop performance. Although not all (state) constraints are imposed in the on-line optimization, the schemes still guarantee recursive feasibility and constraint satisfaction. A numerical case study illustrates the proposed MPC schemes and demonstrates the achieved computation time improvements exceeding two orders of magnitude without loss of performance.

关键词： Model Predictive control Large-Scale systems Adaptive Constraints

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：