检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Niederwieser, Helmut Tranninger, Markus Seeber, Richard Reichhartinger, Markus Institute of Automation and Control Graz University of Technology Graz Austria BEST - Bioenergy and Sustainable Technologies GmbH Graz Austria Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria

In various applications in the field of control engineering the estimation of the state variables of dynamic systems in the presence of unknown inputs plays an important role. Existing methods require the so-called observer matching condition to be satisfied, rely on the boundedness of the state variables or exhibit an increased observer order of twice the plant order. In this article, a novel observer normal form for strongly observable linear time-invariant multivariable systems is proposed. In contrast to classical normal forms, the proposed approach also takes the unknown inputs into account. The proposed observer normal form allows for the straightforward construction of a higher-order sliding mode observer, which ensures global convergence of the estimation error within finite time even in the presence of unknown bounded inputs. Its application is not restricted to systems which satisfy the aforementioned limitations of already existing unknown input observers. The proposed approach can be exploited for the reconstruction of unknown inputs with bounded derivative and robust state-feedback control, which is shown by means of a tutorial example. Numerical simulations confirm the effectiveness of the presented work. Copyright © 2021, The Authors. All rights reserved.

关键词： Multivariable systems

来源：评论

学校读者我要写书评

暂无评论

The Robust Exact Differentiator Toolbox revisited: Filtering and Discretization Features

The Robust Exact Differentiator Toolbox revisited: Filtering...

引用

International Conference on Mechatronics (ICM)

作者： Benedikt Andritsch Martin Horn Stefan Koch Helmut Niederwieser Maximilian Wetzlinger Markus Reichhartinger Institute of Automation and Control Graz University of Technology Graz Austria Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria Institute of Automation and Control Graz University of Technology BEST - Bioenergy and Sustainable Technologies GmbH Graz Austria

ISBN: (数字)9781728144429

ISBN: (纸本)9781728144436

An extended version of a Simulink ® -block providing on-line differentiation algorithms based on discretized sliding-mode concepts is presented. Based on user-specified settings it computes estimates of the time-derivatives of the input signal up to order ten. Different discrete-time estimation algorithms as well as optional filtering properties can be selected. The paper includes an overview of the implemented algorithms, a detailed explanation of the developed Simulink ® -block and two examples. The first example illustrates the application of the toolbox in a numerical simulation environment whereas the second one shows results obtained via an electrical laboratory setup.

关键词： Filtering Observers Numerical simulation Robustness Signal denoising Noise measurement Tuning

来源：评论

学校读者我要写书评

暂无评论

Implementing prescribed-time convergent control: sampling and robustness

引用

IFAC-PapersOnLine 2023年第2期56卷 1621-1626页

作者： Hernan Haimovich Rodrigo Aldana-Lopez Richard Seeber David Gomez-Gutierrez International French-Argentine Center for Information and Systems Science (CIFASIS) CONICET-UNR Ocampo y Esmeralda 2000 Rosario Argentina University of Zaragoza Departamento de Informatica e Ingenieria de Sistemas (DIIS) Zaragoza Spain Graz University of Technology Institute of Automation and Control Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz Austria Intel Tecnología de México Intel Labs Intelligent Systems Research Lab Jalisco Mexico Tecnológico Nacional de México Instituto Tecnológico José Mario Molina Pasquel y Henríquez Unidad Académica Zapopan Jalisco Mexico

According to recent results, convergence in a prespecified or prescribed finite time can be achieved under extreme model uncertainty if control is applied continuously over time. This paper shows that this extreme amount of uncertainty cannot be tolerated under sampling, not even if sampling could become infinitely frequent as the deadline is approached, unless the sampling strategy were designed according to the growth of the control action. Robustness under model uncertainty is analyzed and the amount of uncertainty that can be tolerated under sampling is quantified in order to formulate the least restrictive prescribed-time control problem that is practically implementable. Some solutions to this problem are given for a scalar system. Moreover, either under a-priori knowledge of bounds for initial conditions, or if the strategy can be selected after the first measurement becomes available, it is shown that the real, practically achievable objectives can also be reached with linear time-invariant control and uniform sampling. These derivations serve to yield insight into the real advantages that implementation of prescribed-time controllers may have.

关键词： Prescribed-time finite-time fixed-time convergence sampling

来源：评论

学校读者我要写书评

暂无评论

DETECTABILITY CONDITIONS AND STATE ESTIMATION FOR LINEAR TIME-VARYING AND NONLINEAR systems

arXiv

引用

arXiv 2021年

作者： Tranninger, Markus Seeber, Richard Steinberger, Martin Horn, Martin Pötzsche, Christian Institute of Automation and Control Graz University of Technology Graz Austria Christian Doppler Laboratory for Model-Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria Department of Mathematics Alpen-Adria Universität Klagenfurt Klagenfurt Austria

This work proposes a detectability condition for linear time-varying systems based on the exponential dichotomy spectrum. The condition guarantees the existence of an observer, whose gain is determined only by the unstable modes of the system. This allows for an observer design with low computational complexity compared to classical estimation approaches. An extension of this observer design to a class of nonlinear systems is proposed and local convergence of the corresponding estimation error dynamics is proven. Numerical results show the efficacy of the proposed observer design *** Codes 93B07, 34D08, 34D09 © 2021, CC BY.

关键词： Nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

Efficient Temperature Profile Estimation for Silicon Wafers based on Subspace Observers ⁎

引用

IFAC-PapersOnLine 2020年第2期53卷 5952-5957页

作者： Markus Tranninger Richard Seeber Martin Steinberger Martin Horn Institute of Automation and Control Graz University of Technology 8010 Graz Austria Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria

This work proposes a computationally efficient observation algorithm for the surface temperature profile of heated silicon wafers. The observer exploits the fact that only a few modes of the original large-order model are unstable or slowly converging. In this case, it suffices to modify only these modes by the observer’s output feedback gain. Compared to classical observation techniques, the proposed method allows to compute the feedback gain for a state space of lower dimension, which reduces computational complexity. A comparison of the approach with the extended Kalman-Bucy filter using experimental data shows its appealing performance.

关键词： Subspace Observer Design Lyapunov Exponents Nonlinear systems Extended Kalman-Bucy Filter Linear Time Varying systems Reduced Riccati Equation Wafer Temperature Estimation Rapid Thermal Processing

来源：评论

学校读者我要写书评

暂无评论

Stable Force Reconstruction from Acceleration Measurements - Theory and Experiment

引用

IFAC-PapersOnLine 2020年第2期53卷 4189-4195页

作者： Roland Falkensteiner Richard Seeber Martin Horn Robert Tafner Institute of Automation and Control Graz University of Technology 8010 Graz Austria Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria

This paper presents an unknown input observer for the estimation of external forces acting on mechanical systems from only acceleration measurements. To circumvent arising stability issues, a classical unknown input observer extended with an additional filter is proposed. The influence of the design parameter of the filter is analyzed. A guideline for the parameter tuning depending on predefined estimation goals is given. In contrast to existing methods, no prior knowledge about the unknown acting force is assumed in the design process. The performance of the presented concept is compared to a state-of-the-art approach in both simulation studies and on a experimental test setup.

关键词： observer design unknown input observer force reconstruction strong observability detectability

来源：评论

学校读者我要写书评

暂无评论

Robust Boundary control of a Diffusion System: An Integral Sliding Mode control Approach

Robust Boundary Control of a Diffusion System: An Integral S...

引用

IEEE Conference on Decision and control

作者： Stefan Koch Richard Seeber Martin Horn Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria

ISBN: (数字)9781728174471

ISBN: (纸本)9781728174488

The present work extends the integral sliding mode control approach to the boundary control of systems described by an uncertain heat equation. The proposed controller entirely skips the reaching phase and thus ensures the robustness of the feedback loop to a certain class of external disturbances for all times. A formal stability analysis as well as a tutorial example and simulation results demonstrate the applicability and effectiveness of the proposed approach.

关键词： Sliding mode control Mathematical model Closed loop systems Integral equations Boundary conditions Heating systems Aerospace electronics

来源：评论

学校读者我要写书评

暂无评论

Exact Differentiator with Lipschitz Continuous Output and Optimal Worst-Case Accuracy Under Bounded Noise

Exact Differentiator with Lipschitz Continuous Output and Op...

引用

IEEE Conference on Decision and control

作者： Rodrigo Aldana-López Richard Seeber Hernan Haimovich David Gómez-Gutiérrez Department of Computer Science and Systems Engineering University of Zaragoza Zaragoza Spain Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria Centro Internacional Franco-Argentino de Ciencias de la Información y de Sistemas (CIFASIS) CONICET-UNR Rosario Argentina Intel Tecnología de México Intel Labs Intelligent Systems Research Lab Jalisco Mexico Tecnológico Nacional de México Instituto Tecnológico José Mario Molina Pasquel y Henríquez Unidad Académica Zapopan Jalisco Mexico

The online differentiation of a signal contaminated with bounded noise is addressed. A differentiator is developed that generates a Lipschitz continuous output, is exact in the absence of noise, and provides the optimal worst-case accuracy among all possible exact differentiators when noise is present. This combination of features is not shared by any previously existing differentiator. Tuning of the developed differentiator is very simple, requiring only the knowledge of a bound for the second-order derivative of the signal. The approach consists in regularizing the possibly highly noisy output of a recently introduced linear adaptive robust exact differentiator and feeding it to a first-order sliding-mode filter designed to maintain optimal accuracy. The proposed regularization and filtering of this output allows trading the speed with which exactness is obtained for the feature of a Lipschitz continuous, hence less noisy, output. An illustrative example is provided to highlight the features of the developed differentiator.

关键词：

来源：评论

学校读者我要写书评

暂无评论

How to Simulate Networked control systems with Variable Time Delays? ⁎

引用

IFAC-PapersOnLine 2020年第2期53卷 3098-3103页

作者： Martin Steinberger Markus Tranninger Martin Horn Karl Henrik Johansson Institute of Automation and Control Graz University of Technology8010 Graz Austria Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria Division of Decision and Control Systems Royal Institute of Technology 100 44 Stockholm Sweden

Techniques to accurately simulate networked control systems with bounded time-varying delays are proposed. They link delays in transmission channels to individual packets and can take into account packet disordering that may occur in wireless multi-hop networks. Examples underpin the properties of the proposed approach and show why other simulation and modeling approaches may fail.

关键词： networked control systems time-varying delays delay modeling network modeling simulation with variable delays packet disordering large delay case true time

来源：评论

学校读者我要写书评

暂无评论

Differentiator for Noisy Sampled Signals with Best Worst-Case Accuracy

arXiv

引用

arXiv 2021年

作者： Haimovich, Hernan Seeber, Richard Aldana-López, Rodrigo Gómez-Gutiérrez, David CONICET-UNR Rosario2000 Argentina The Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria The Department of Computer Science and Systems Engineering University of Zaragoza Zaragoza Spain Intel Labs Intel Corporation and with Tecnologico de Monterrey Jalisco Mexico

This paper proposes a differentiator for sampled signals with bounded noise and bounded second derivative. It is based on a linear program derived from the available sample information and requires no further tuning beyond the noise and derivative bounds. A tight bound on the worst-case accuracy, i.e., the worst-case differentiation error, is derived, which is the best among all causal differentiators and is moreover shown to be obtained after a fixed number of sampling steps. Comparisons with the accuracy of existing high-gain and sliding-mode differentiators illustrate the obtained results. Copyright © 2021, The Authors. All rights reserved.

关键词： Linear programming

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：