IFAC-PapersOnLine最新文献_第6页

Fiber Activation in Bipolar Deep Brain Stimulation: A Patient Case Study⁎ 双极深脑刺激中的纤维激活：一个患者案例研究

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.062

Anna F. Frigge , Elena Jiltsova , Fredrik Olsson , Dag Nyholm , Alexander Medvedev

{"title":"Fiber Activation in Bipolar Deep Brain Stimulation: A Patient Case Study⁎","authors":"Anna F. Frigge , Elena Jiltsova , Fredrik Olsson , Dag Nyholm , Alexander Medvedev","doi":"10.1016/j.ifacol.2025.03.062","DOIUrl":"10.1016/j.ifacol.2025.03.062","url":null,"abstract":"<div><div>Deep brain stimulation (DBS) is a therapy widely used for treating the symptoms of neurological disorders. Electrical pulses are chronically delivered in DBS to a disease-specific brain target via a surgically implanted electrode. The stimulating contact configuration, stimulation polarity, as well as amplitude, frequency, and pulse width of the DBS pulse sequence are utilized to optimize the therapeutic effect. In this paper, the utility of therapy individualization by means of patient-specific mathematical modeling is investigated with respect to a specific case of a patient diagnosed with Essential tremor (ET). Two computational models are compared in their ability to elucidate the impact of DBS stimulation on the Dentato-Rubro-Thalamic tract (DRTT): (i) a conventional model of volume of tissue activated (VTA) and (ii) a well-established, open-source simulation (OSS) neural fiber activation modeling framework known as OSS-DBS. The simulation results are compared with tremor measured in the patient under different DBS settings using a smartphone application. The findings of the study highlight that temporally static VTA models do not adequately describe the differences in the outcomes of bipolar stimulation settings with switched polarity, whereas neural fiber activation models hold potential in this regard. However, it is noted that neither of the investigated models fully accounts for the measured symptom pattern, particularly regarding a bilateral effect produced by unilateral stimulation.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 1","pages":"Pages 361-366"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Challenges and the Need to Integrate Rolling Stock and Crew Scheduling for Efficient Railway Operations 为有效的铁路运营整合车辆和机组调度的挑战和需求

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.076

Paul Päprer , Janis S. Neufeld , Udo Buscher , Martin Scheffler , Matthias Wastian , Jakob Rosenberger , Kanchan Joshi , Fatih Kocatürk , Jan Ehmke , Maximilian Kunovjanek , Nadine Schwab , Niki Popper

引用次数: 0

Dynamic and Nonlinear Programming for Trajectory Planning in Moving Environments⁎ 运动环境中轨迹规划的动态与非线性规划方法

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.046

Rebecca Richter

引用次数: 0

Closed-loop control of anesthesia using two-degrees-of-freedom control with a target-controlled infusion algorithm 基于目标控制输注算法的二自由度麻醉闭环控制

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.063

Aleksander Vegelj , Igor Škrjanc , Gorazd Karer

引用次数: 0

An Error Estimator and Stopping Criterion for Krylov-Based Model Order Reduction in Acoustics 声学中基于krylovv模型降阶的误差估计和停止准则

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.064

Siyang Hu , Nick Wulbusch , Alexey Chernov , Tamara Bechtold

引用次数: 0

Online Model-Adaptation for an Uncertain Liquid-Liquid Mixer System 不确定液-液混合系统的在线模型自适应

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.032

Daniel Topalovic , Chrysoula Bliatsiou , Jörn Villwock , Matthias Kraume , Steffi Knorn

引用次数: 0

Physics-Informed Sparse Gaussian Processes for Model Predictive Control in Building Energy Systems⁎ 建筑能源系统模型预测控制的物理通知稀疏高斯过程

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.009

Thore Wietzke , Knut Graichen

引用次数: 0

Classification Tasks with Local and Global Resource Allocation Constraints⁎ 具有局部和全局资源分配约束的分类任务

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.012

Danit Abukasis Shifman , Itay Margolin , Chen Halfi , Gonen Singer

{"title":"Classification Tasks with Local and Global Resource Allocation Constraints⁎","authors":"Danit Abukasis Shifman , Itay Margolin , Chen Halfi , Gonen Singer","doi":"10.1016/j.ifacol.2025.03.012","DOIUrl":"10.1016/j.ifacol.2025.03.012","url":null,"abstract":"<div><div>Efficiently allocating limited resources in classification problems is an important task in many real-world applications. We propose a two-phase framework consisting of machine learning and optimization models to address this challenge. In the first phase, a machine learning model is used to obtain a probability matrix for potential classifications. In the second phase, the probability matrix is used as input for a linear programming model, which is designed to minimize misclassification costs while considering resource constraints. This study addresses both local and global resource availability constraints, which we define in the context of classification problems as: target-based constraints—limiting the total number of entities that can be assigned to various classes; and feature-based constraints—limiting the number of entities from each subgroup, defined by a specific feature value, that can be assigned to various classes (e.g., geographic-based limitations). We prove that the coefficient constraint matrix in the linear programming model is totally unimodular, guaranteeing that integer optimal solutions can be obtained using efficient linear programming algorithms. An experimental study illustrates the effectiveness of the proposed framework in terms of time and performance in resource allocation compared to the commonly used conventional method. This two-phase approach advances the application of machine learning and operations research in resource-constrained environments, offering a scalable framework for solving complex classification problems under various constraints.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 1","pages":"Pages 61-66"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing errors and uncertainties in measurement problems 分析测量问题中的误差和不确定性

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.054

K. Tüting , D. Langemann

引用次数: 0

Towards Automated Model Order Reduction and Feedback Control for Nonlinear Finite Element Models⁎ 实现非线性有限元模型的自动模型阶次缩减和反馈控制⁎

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI: 10.1016/j.ifacol.2025.03.025

Arwed Schütz , Michael Olbrich , Aliakbar Taghdiri , Christoph Ament , Tamara Bechtold

{"title":"Towards Automated Model Order Reduction and Feedback Control for Nonlinear Finite Element Models⁎","authors":"Arwed Schütz , Michael Olbrich , Aliakbar Taghdiri , Christoph Ament , Tamara Bechtold","doi":"10.1016/j.ifacol.2025.03.025","DOIUrl":"10.1016/j.ifacol.2025.03.025","url":null,"abstract":"<div><div>Spanning applications from microsystems to passenger jets, finite element (FE) models play a crucial role in the design of a wide range of technical products. However, such models are not suited for applications at system-level or in control due to their large scale. While several schemes to obtain models and controllers based on FE models exist, they either require high-level access to the FE software, create black-box models without physical interpretation, or require specialist knowledge. This paper outlines a workflow to generate highly efficient models and appropriate controllers for nonlinear FE models at the push of a button. In a first step, model order reduction via proper orthogonal decomposition creates an accurate surrogate model of drastically smaller dimension. Nonlinearities are handled via the trajectory piecewise linear approximation (TPWL), maximizing compatibility with commercial FE software by exclusively relying on data produced by regular solutions. Complementing TPWL, gain-scheduling is deployed to establish a precise controller. The proposed workflow is demonstrated for a tunable prism, showcasing its efficacy.</div></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"59 1","pages":"Pages 139-144"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0