检索结果-内蒙古大学图书馆

Space-Filling Input Design for Nonlinear State-Space Identification ⁎

IFAC-PapersOnLine 2024年第15期58卷 562-567页

作者： Máté Kiss Roland Tóth Maarten Schoukens Control System group Eindhoven University of Technology Eindhoven the Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

The quality of a model resulting from (black-box) system identification is highly dependent on the quality of the data that is used during the identification procedure. Designing experiments for linear time-invariant systems is well understood and mainly focuses on the power spectrum of the input signal. Performing experiment design for nonlinear system identification on the other hand remains an open challenge as informativity of the data depends both on the frequency-domain content and on the time-domain evolution of the input signal. Furthermore, as nonlinear system identification is much more sensitive to modeling and extrapolation errors, having experiments that explore the considered operation range of interest is of high importance. Hence, this paper focuses on designing space-filling experiments i.e., experiments that cover the full operation range of interest, for nonlinear dynamical systems that can be represented in a state-space form using a broad set of input signals. The presented experiment design approach can straightforwardly be extended to a wider range of system classes (e.g., NARMAX). The effectiveness of the proposed approach is illustrated on the experiment design for a nonlinear mass-spring-damper system, using a multisine input signal.

关键词： Experiment Design Nonlinear System Identification State-Space

来源：评论

学校读者我要写书评

暂无评论

Unified Behavioral Data-Driven Performance Analysis A Generalized Plant Approach

Unified Behavioral Data-Driven Performance Analysis A Genera...

引用

European control Conference (ECC)

作者： L.M. Spin C. Verhoek W.P.M.H. Heemels N. van de Wouw R. Tóth Control Systems Group Eindhoven University of Technology Netherlands Control Systems Technology Group Eindhoven University of Technology Netherlands Dynamics and Control Group Eindhoven University of Technology Netherlands Institute for Computer Science and Control Budapest Hungary

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this paper, we present a novel approach to com-bine data-driven non-parametric representations with model-based representations of dynamical systems. Based on a data-driven form of linear fractional transformations, we introduce a data-driven form of generalized plants. This form can be leveraged to accomplish performance characterizations, e.g., in the form of a mixed-sensitivity approach, and LMI-based conditions to verify finite-horizon dissipativity. In particular, we show how finite-horizon $l$ 2 -gain under weighting filter-based general performance specifications can be verified for implemented controllers on systems for which only input-output data is available. The overall effectiveness of the proposed method is demonstrated by simulation examples.

关键词： Weight measurement Analytical models Filters Frequency-domain analysis Europe Data models Performance analysis

来源：评论

学校读者我要写书评

暂无评论

Discrete Sliding Mode Predictive control of networked control systems 42

Discrete Sliding Mode Predictive Control of Networked Contro...

引用

42nd Chinese control Conference, CCC 2023

作者： Chi, Chuanguo Liu, Guo-Ping Ionescu, Clara-Mihaela Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin150001 China Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Ghent University Research Group on Dynamical Systems and Control GhentB-9052 Belgium

ISBN: (纸本)9789887581543

This article studies the application of discrete sliding mode predictive control (SMPC) in networked control systems, introducing sliding mode control (SMC) into model predictive control (MPC), and prediction the state and output vector based on sliding mode control. By combining the strong robustness of sliding mode control and the advantage of model predictive control in dealing with communication constraints in network control, an incremental SMPC trajectory tracking control scheme based on a state observer is designed. The effectiveness and practicability of the designed control scheme is verified by tracking experiments on reference inputs in a dSPACE-based networked lighting control system. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Measurement of SPT-140 Hall Thruster Swirl Torque during the Psyche Mission

Measurement of SPT-140 Hall Thruster Swirl Torque during the...

引用

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

作者： Snyder, John Steven Nicholas, Austin K. Collins, Steven M. Ortega, Alejandro Lopez Electric Propulsion Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Navigation and Control Systems Engineer Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Guidance and Control Systems Section Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Hall-thruster swirl torque is small enough that it is difficult to measure in ground-based facilities, but large enough that its effects on interplanetary spacecraft can be significant and must be actively managed. NASA’s Psyche mission has provided the first opportunity to directly measure the swirl torque produced by a Hall thruster operating at powers greater than 1.5 kW. When the electric propulsion system is operating, the spacecraft attitude control methodology forces the net torque on the spacecraft to align with a pre-determined direction in the body frame, after which the thruster-induced swirl torque can be separated from the other torques acting on the spacecraft. The swirl torques produced by three of the four thrusters on the Psyche spacecraft were determined over the full operating discharge power range of 1.0 to 4.5 kW, and the maximum value of that torque was 0.86 mN-m at full power. It is shown that the SPT-140 swirl torque results can be scaled from full power to lower powers by the product of the discharge current and the magnet current, and evaluation of cruise thrusting data as the thruster is throttled down in power suggests that swirl torque is not changing significantly with time as a function of operating condition. Finally, calculations of swirl torque using updated numerical simulations are shown to agree reasonably well with the flight data, thus providing confidence in their use for other thrusters prior to flight. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： NASA

来源：评论

学校读者我要写书评

暂无评论

Data-Driven LIDAR Feedforward Predictive Wind Turbine control

Data-Driven LIDAR Feedforward Predictive Wind Turbine Contro...

引用

2023 IEEE Conference on control technology and Applications, CCTA 2023

作者： Dinkla, Rogier Oomen, Tom Wingerden, Jan-Willem Van Mulders, Sebastiaan P. Delft University of Technology Delft Center for Systems and Control Faculty of Mechanical Engineering Mekelweg 2 Delft2628 CD Netherlands Eindhoven University of Technology Control Systems Technology Group Department of Mechanical Engineering Eindhoven5600 MB Netherlands

ISBN: (纸本)9798350335446

Light Detection and Ranging (LIDAR)-assisted Model Predictive control (MPC) for wind turbine control has received much attention for its ability to incorporate future wind speed disturbance information in a receding horizon optimal control problem. However, the growth of wind turbine sizes results in increasing system complexity and system interactions, and complicates the design of model-based controllers like MPC. Together with increasing data availability, this obstacle motivates the use of direct data-driven predictive control approaches like Subspace Predictive control (SPC). An SPC implementation is developed that both does not suffer from traditional, potentially detrimental closed-loop identification bias and incorporates past and future (not necessarily periodic) disturbance information. Simulations of the presented method for above-rated wind turbine rotor speed regulation using pitch control demonstrate the capabilities of the data-driven SPC algorithm for increasing degrees of wind speed disturbance information in the developed framework. © 2023 IEEE.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

Effect of Blade Gap Angle on Performance of Gas–Liquid Multiphase Pump

引用

International Journal of Fluid Machinery and systems 2024年第3期17卷 178-191页

作者： Li, Rennian Xing, Yifan Han, Wei Zhang, Wanyu Dang, Shujuan Qiang, Yan College of Energy and Power Engineering Lanzhou University of Technology Lanzhou730050 China Key Laboratory of Ministry of Education Special Pumps Valves and Flow Control Systems Lanzhou730050 China West Pipeline Company National Petroleum and Natural Gas Pipeline Network Group Co. Ltd. Xinjiang830013 China

This study investigates the impact of blade gap angle on spiral axial flow gas–liquid multiphase pump performance. Using five numerical models and the shear stress transport k-omega (SST k-ω) turbulence model, we incorporated gas compressibility to analyze the influence of blade gap angle on pump performance. Results revealed alterations in the gap angle affected gas–liquid slip velocity distribution, turbulence eddy frequency within the impeller region, and the distribution of gas separation areas at the gap inlet and outlet. Increasing the gap deflection angle inhibited gas flow separation at the hub-side inlet while simultaneously enlarging separation area at the outlet of the gap, with the optimal gap angles enhancing flow separation in a helicoaxial gas–liquid multiphase pump. © 2024, Turbomachinery Society of Japan. All rights reserved.

关键词： Turbulence models

来源：评论

学校读者我要写书评

暂无评论

Fault detection and diagnosis using the dynamic network framework ⁎

引用

IFAC-PapersOnLine 2024年第15期58卷 384-389页

作者： Yibo Shi Stefanie J.M. Fonken Paul M.J. Van den Hof Control Systems Group Department of Electrical Engineering Eindhoven University of Technology The Netherlands

A local model-based method for fault detection and diagnosis (FDD) in large-scale interconnected network systems is introduced, using models in a dynamic network framework. To this end, model validation methods are developed for validating single modules in a dynamic network, which are generalized from the classical auto- and cross-correlation tests for open- and closed-loop systems. Invalidation of the model can indicate the detection of a fault in the system. A fault diagnosis algorithm is developed that includes fault isolation and optimal placement of external excitation signals. Numerical illustrations demonstrate the method’s capability to detect a fault in a local module and isolate it within the entire network system.

关键词： Fault interconnected system dynamic network model validation correlation test

来源：评论

学校读者我要写书评

暂无评论

SYSDYNET - A MATLAB App and Toolbox for Dynamic network Identification ⁎ , ⁎⁎

引用

IFAC-PapersOnLine 2024年第15期58卷 574-579页

作者： Paul M.J. Van den Hof Shengling Shi Harm H.M. Weerts Xiaodong Cheng Karthik R. Ramaswamy Arne G. Dankers H.J. (Mannes) Dreef Stefanie J.M. Fonken Tom R.V. Steentjes Job B.T. Meijer Control Systems Group Department of Electrical Engineering Eindhoven University of Technology The Netherlands

Identification in interconnected systems requires the handling of phenomena that go beyond the classical open-loop and closed-loop type of identification problems. Over the last decade a comprehensive theory has been developed for addressing identification problems in linear dynamic networks, formulated in a module framework, where the network structure is characterized by a directed graph in which nodes are signals and links are transfer functions. The resulting methods and approaches have been collected in a MATLAB App and Toolbox, supported by an attractive graphical user interface that provides an interactive workflow for manipulating the structural properties of dynamic networks, applying basic network operations like immersion and module invariance testing, and for investigating network/module generic identifiability and selecting appropriate predictor model inputs and outputs. The workflow supports the allocation of external excitation signals (actuation) and measured node signals (sensing) so as to achieve generic identifiability and provide consistent estimation of target modules. The Toolbox includes algorithms for actual network simulation and identification.

关键词： System identification identifiability dynamic networks interconnected systems

来源：评论

学校读者我要写书评

暂无评论

Risk-Aware MPC for Stochastic systems with Runtime Temporal Logics

引用

IFAC-PapersOnLine 2024年第11期58卷 93-98页

作者： M.H.W. Engelaar Z. Zhang M. Lazar S. Haesaert Department of Electrical Engineering (Control Systems Group) Eindhoven University of Technology The Netherlands

This paper concerns the risk-aware control of stochastic systems with temporal logic specifications dynamically assigned during runtime. Conventional risk-aware control typically assumes that all specifications are predefined and remain unchanged during runtime. In this paper, we propose a novel, provably correct model predictive control scheme for linear systems with additive unbounded stochastic disturbances that dynamically evaluates the feasibility of runtime signal temporal logic specifications and automatically reschedules the control inputs accordingly. The control method guarantees the probabilistic satisfaction of newly accepted specifications without sacrificing the satisfaction of the previously accepted ones. The proposed control method is validated by a robotic motion planning case study.

关键词： Linear stochastic systems Probabilistic constraints Real-time control Stochastic model predictive control Temporal logic

来源：评论

学校读者我要写书评

暂无评论

Finite Dimensional Koopman Form of Polynomial Nonlinear systems*

引用

IFAC-PapersOnLine 2023年第2期56卷 6423-6428页

作者： Lucian C. Iacob Maarten Schoukens Roland Tóth Control Systems Group Eindhoven University of Technology Eindhoven The Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

The Koopman framework is a popular approach to transform a finite dimensional nonlinear system into an infinite dimensional, but linear model through a lifting process using so-called observable functions. While there is an extensive theory on infinite dimensional representations in the operator sense, there are few constructive results on how to select the observables to realize them. When it comes to the possibility of finite Koopman representations, which are highly important from a practical point of view, there is no constructive theory. Hence, in practice, often a data-based method and ad-hoc choice of the observable functions is used. When truncating to a finite number of basis, there is also no clear indication of the introduced approximation error. In this paper, we propose a systematic method to compute the finite dimensional Koopman embedding of a specific class of polynomial nonlinear systems in continuous-time, such that the embedding can fully represent the dynamics of the nonlinear system without any approximation.

关键词： Nonlinear systems Koopman operator Linear embedding

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：