检索结果-内蒙古大学图书馆

IEEE Conference on Decision and control

作者： Pieter Van Goor Robert Mahony Manuel Schaller Karl Worthmann Systems Theory and Robotics Group School of Engineering Australian National University Canberra Australia Optimization-based Control Group Institute of Mathematics Technische Universitat Ilmenau Ilmenau Germany

Extended Dynamic Mode Decomposition (eDMD) is a powerful tool to generate data-driven surrogate models for the prediction and control of nonlinear dynamical systems in the Koopman framework. In eDMD a compression of the lifted system dynamics on the space spanned by finitely many observables is computed, in which the original space is embedded as a low-dimensional manifold. While this manifold is invariant for the infinite-dimensional Koopman operator, this invariance is typically not preserved for its eDMD-based approximation. Hence, an additional (re-)projection step is often tacitly incorporated to improve the prediction capability. We propose a novel framework for consistent reprojectors respecting the underlying manifold structure. Further, we present a new geometric reprojector based on maximum-likelihood arguments, which significantly enhances the approximation accuracy and preserves known finite-data error bounds.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Physics-informed data-driven reduced-order models for Dynamic Induction control

引用

IFAC-PapersOnLine 2023年第2期56卷 8414-8419页

作者： Claudia Muscari Paolo Schito Axelle Viré Alberto Zasso Jan-Willem van Wingerden Delft Center for Systems and control (DCSC) Faculty of Mechanical Maritime and Material engineering Technical University of Delft Mechanical Department Politecnico di Milano Wind Energy group Faculty of Aerospace Engineering Technical University of Delft

In this work, we find a reduced-order model for the wake of a wind turbine controlled with dynamic induction control. We use a physics-informed dynamic mode decomposition algorithm to reduce the model complexity in a way such that the physics of the wake mixing can be investigated and that the model itself can be easily embedded into control-oriented frameworks. After discussing the advantage of forcing the linear system resulting from the algorithm to be conservative (as a consequence of the periodicity of the pitch excitation) and the choice of observables, we describe a procedure for calculating the energy associated with individual modes. The considered data-set is composed of large eddy simulation (LES) results for a single DTU 10 MW wind turbine in uniform flow. Simulations were performed first with baseline control (for reference) and then with the Pulse and the Helix approaches with constant excitation amplitude and different excitation frequencies. The frequencies and energies associated with the resulting modes are discussed.

关键词： Wind Farm control Wake Mixing Computational Fluid Dynamics Dynamic Mode Decomposition reduced-order Models

来源：评论

学校读者我要写书评

暂无评论

Investigating the role of an AI-based assistance system for the decision-making process of pilots– an interview study

引用

Transportation Research Procedia 2025年 88卷 167-175页

作者： Angela Menig Nastassja Becker Johannes P. Kleudgen Technical University Darmstadt Research Group of Work and Engineering Psychology Alexanderstraße 10 64283 Darmstadt Germany Technical University Darmstadt Institute of Flight Systems and Automatic Control Otto-Bernd-Str. 2 64287 Darmstadt Germany

The introduction of cockpit assistance systems based on Artificial Intelligence (AI) hold the potential to significantly increase flight safety and efficiency, especially in complex and time-critical situations. However, there is limited understanding how an AI-based system could effectively assist pilots in the decision-making process. This interview study investigates the decision-making process of pilots in a complex decision-making scenario with and without the support of a Level 1B AI-based assistance system (EASA Roadmap 2.0, 2023). In a complex in-flight diversion scenario, the AI-based assistance system (named Virtual Crew Assistant) provides an assessment of the risks and benefits of suitable alternates in a user-friendly interface, enabling a direct comparison of the given alternates. Semi-standardized expert interviews were conducted with 12 commercial aviation pilots. The pilots were asked to perform a decision-making process for a complex scenario - using the conventional FOR-DEC decision-making model - with and without the support of a static prototype of the Virtual Crew Assistant (VCA). During the decision-making process, the experts were instructed to think aloud, and were also requested to rate the workload for each condition. Working with the AI-based system workload was rated significantly lower than working without the AI-based system. In addition, conditions for Trust, Explainable AI, Usability and Limitations of AI-based assistance systems in the cockpit were investigated. Other possible functions of the AI-based system suggested by the experts are given and extending the human-machine interaction to higher collaborative AI-Levels is discussed.

关键词： AI-based assistance system trustworthiness explainable AI decision-making process reduced crew operations workload

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Pharmacokinetic-Pharmacodynamic Models for Propofol and Remifentanil Using Model Predictive control

Comparative Analysis of Pharmacokinetic-Pharmacodynamic Mode...

引用

European control Conference (ECC)

作者： A. R. Ynineb H. Farbakhsh G. Ben Othman Y. Wahlquist I. R. Birs E. Yumuk C. I. Muresan R. De Keyser D. Copot C. M. Ionescu M. Neckebroek Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Ghent University Gent Belgium Department of Automatic Control Lund University Lund Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Control and Automation Engineering Istanbul Technical University Maslak Istanbul Turkey Department of Anesthesia Ghent University Hospital Ghent Belgium

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This study aims to compare the effectiveness of different Pharmacokinetic-Pharmacodynamic (PK-PD) models for administering Propofol and Remifentanil, two critical agents in anesthesia. Initially, different PK models were introduced: one for Propofol based on the Schnider model and another for Remifentanil using the Minto model. Alternatively, both drugs were modeled using the Eleveld models. The PK-PD models were integrated into a closed-loop control system using model predictive control (MPC) with disturbances to control the Bispectral index (BIS) and the Richmond Agitation Sedation Scale (RASS). The methodology involved simulating the anesthetic agents in the open-source patient simulator (2 inputs, 2 outputs) with 12 patient datasets in a controlled environment to simulate the patient response variability, allowing for a detailed analysis of the model's performance in maintaining optimal drug concentrations. The primary focus was on the system's ability to adapt to surgical disturbances, a key challenge in anesthesia management, and whether a different modeling of drugs can have an impact on their effects. The results indicated significant differences in the performance of the two models configurations. The Eleveld model for Propofol showed less usage of drugs to maintain the desired BIS value. Concluding that this comparative analysis offers a valuable reference for selecting appropriate modeling approaches in the development of advanced control strategies in anesthesia.

关键词： Drugs Analytical models Adaptation models Surgery Europe Predictive models Anesthesia

来源：评论

学校读者我要写书评

暂无评论

Decentralized Dynamic Disturbance Compensation control Strategy for Multiple Parallel Inverters in Microgrid 1

Decentralized Dynamic Disturbance Compensation Control Strat...

引用

1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022

作者： Luo, Shanna Peng, Kaixiang Hu, Changbin Shi, Xiangyi Lu, Heng School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China School of Electrical and Control Engineering North China University of Technology Beijing China Tianjin Electric Power Design Institute Co. Ltd China Energy Engineering Group Tianjin China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany

ISBN: (纸本)9798350398069

In order to enhance the anti-disturbance capability of voltage fluctuation during microgrid island operation, a decentralized dynamic disturbance compensation control strategy for multiple inverters in parallel based on robust residual generator is proposed. First, a parallel state space model of multiple inverters with line parameters under quasi-stationary line conditions is established. Secondly, for the double closed loop control structure of the inverter, a dynamic compensation controller Q(s) is designed from the perspective of disturbance cancellation, and its control signal is applied to the input terminal of the current loop to realize superposition with the original system current given signal. Then, a residual generator and a dynamic compensation controller Qi(s) are added to each parallel inverter to realize mutual influence among multiple inverters further decoupling. Finally, hardware-in-the-loop experiment on three inverters in parallel are designed on the RTDS platform to verify the effectiveness of the proposed strategy. © 2022 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Consistent CoM Trajectory Generation for Biped Locomotion

Consistent CoM Trajectory Generation for Biped Locomotion

引用

International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Kumod K. Sharma Sunil Nimje S. E. Talole Systems & Control Group Research & Development Estt (Engrs) Pune India Department of Mechanical Engineering Defence Institute of Advanced Technology Pune India

In bipedal robot locomotion, generation of Center of Mass (CoM) trajectory forms an essential component in gait pattern generation using approximate models. Towards this, rolling sphere model as an approximate model has been widely studied for biped walk. In this work, the rolling sphere model is used to generate realizable bipedal walk by improving an existing approach. In doing so, a consistent CoM trajectory is derived with a desirable Zero Moment Point (ZMP) making the resulting gait more practical. The efficacy of the formulation has been validated through simulation using parameters of humanoid robot NAO.

关键词： Legged locomotion Humanoid robots Signal processing control systems Trajectory Foot

来源：评论

学校读者我要写书评

暂无评论

PIEZOELECTRIC SHUNT DAMPING IN CRYOGENIC CONDITIONS: APPLICATION TO A FLEXURE-BASED MECHANISM 36

PIEZOELECTRIC SHUNT DAMPING IN CRYOGENIC CONDITIONS: APPLICA...

引用

36th Annual Meeting of the American Society for Precision engineering, ASPE 2021

作者： Ambaum, N. Vermeulen, J.P.M.B. Mokrani, B. Department of Mechanical Engineering Control Systems Technology group – Mechatronic Systems Design Eindhoven University of Technology Eindhoven Netherlands Mechatronics Department ASML Netherlands Veldhoven Netherlands

来源：评论

学校读者我要写书评

暂无评论

Tailored max-out networks for learning convex PWQ functions

arXiv

引用

arXiv 2022年

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

Convex piecewise quadratic (PWQ) functions frequently appear in control and elsewhere. For instance, it is well-known that the optimal value function (OVF) as well as Q-functions for linear MPC are convex PWQ functions. Now, in learning-based control, these functions are often represented with the help of artificial neural networks (NN). In this context, a recurring question is how to choose the topology of the NN in terms of depth, width, and activations in order to enable efficient learning. An elegant answer to that question could be a topology that, in principle, allows to exactly describe the function to be learned. Such solutions are already available for related problems. In fact, suitable topologies are known for piecewise affine (PWA) functions that can, for example, reflect the optimal control law in linear MPC. Following this direction, we show in this paper that convex PWQ functions can be exactly described by max-out-NN with only one hidden layer and two neurons. © 2022, CC BY-NC-ND.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Two Simple Model-free Extremum Seeking Strategies with Convergence Acceleration through Hessian Estimation

Two Simple Model-free Extremum Seeking Strategies with Conve...

引用

IEEE Conference on Decision and control

作者： Laurent Dewasme Alain Vande Wouwer Systems Estimation Control and Optimization (SECO) Group Faculty of Engineering University of Mons Mons Belgium

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Recently, several Newton-based extremum seeking strategies have been proposed, which provide fast convergence. In this study, we focus attention on perturbation-based proportional-integral extremum seeking (PIES) and block-oriented model recursive least squares extremum seeking (BOM-RLSES), and we discuss stability and convergence, highlighting the impact of the quality of the Hessian estimation. A bioprocess application is used to compare the performance of PI and RLS Newton-based strategies with respect to the block-oriented RLSES. The results confirm the faster convergence of the Newton-based formulations for an input range contained in the region of attraction of the extremum.

关键词： Maximum likelihood estimation Biological system modeling Plants (biology) Numerical simulation Stability analysis Numerical models Pins

来源：评论

学校读者我要写书评

暂无评论

A deterministic view on explicit data-driven (M)PC

A deterministic view on explicit data-driven (M)PC

引用

IEEE Conference on Decision and control

作者： Manuel Klädtke Dieter Teichrib Nils Schlüter Moritz Schulze Darup Department of Mechanical Engineering Control and Cyber-Physical Systems Group TU Dortmund University Germany

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

We show that the explicit realization of data-driven predictive control (DPC) for linear deterministic systems is more tractable than previously thought. To this end, we compare the optimal control problems (OCP) corresponding to deterministic DPC and classical model predictive control (MPC), specify its close relation, and systematically eliminate ambiguity inherent in DPC. As a central result, we find that the explicit solutions to these types of DPC and MPC are of exactly the same complexity. We illustrate our results with two numerical examples highlighting features of our approach.

关键词： Optimal control Complexity theory Optimization Predictive control

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：