Proceedings of the ... American Control Conference. American Control Conference最新文献_第5页

Velocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DM. 速度加权预防控制者在治疗T1DM的人工胰腺MPC中引起的低血糖。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2015-07-01 Epub Date: 2015-07-30 DOI: 10.1109/ACC.2015.7170967

Ravi Gondhalekar, Eyal Dassau, Francis J Doyle

{"title":"Velocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DM.","authors":"Ravi Gondhalekar, Eyal Dassau, Francis J Doyle","doi":"10.1109/ACC.2015.7170967","DOIUrl":"https://doi.org/10.1109/ACC.2015.7170967","url":null,"abstract":"The design of a Model Predictive Control (MPC) strategy for the closed-loop operation of an Artificial Pancreas (AP) to treat type 1 diabetes mellitus is considered. The contribution of this paper is to propose a velocity-weighting mechanism, within an MPC problem's cost function, that facilitates penalizing predicted hyperglycemic blood-glucose excursions based on the predicted blood-glucose levels' rates of change. The method provides the control designer some freedom for independently shaping the AP's uphill versus downhill responses to hyperglycemic excursions; of particular emphasis in this paper is the downhill response. The proposal aims to tackle the dangerous issue of controller-induced hypoglycemia following large hyperglycemic excursions, e.g., after meals, that results in part due to the large delays of subcutaneous glucose sensing and subcutaneous insulin infusion - the case considered here. The efficacy of the proposed approach is demonstrated using the University of Virginia/Padova metabolic simulator with both unannounced and announced meal scenarios.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2015 ","pages":"1635-1640"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ACC.2015.7170967","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34975380","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: 19

Position estimation in electro-magnetic actuators using a modified discrete time class A/B model reference approach 基于改进的离散时间a /B类模型参考方法的电磁执行器位置估计

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-04 DOI: 10.1109/ACC.2014.6858841

Florian Straußberger, M. Schwab, Tristan Braun, J. Reuter

引用次数: 10

Greetings from the AACC President 来自AACC主席的问候

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-04 DOI: 10.1109/ACC.2014.6858566

T. Samad

{"title":"Greetings from the AACC President","authors":"T. Samad","doi":"10.1109/ACC.2014.6858566","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858566","url":null,"abstract":"all participants to the 2014 American Control Conference. It’s been over three decades since the first ACC was held (in Arlington, Virginia, 1982) and since then the annual conference has become an established, selective international event covering all aspects of research and development in control systems. ACCs now attract around 1,300 participants representing academia (including graduate students), industry, and government organizations. Only a slim majority of the attendees are from the United States. The centerpiece of the conference is the technical program, and this year’s ACC will feature about 1,000 presentations on developments in diverse areas of control, theoretical as well as applied. Also on offer are pre-conference workshops, special and “micro” sessions on technical and other topics, exhibits and recruitment opportunities, and the AACC Awards Ceremony. The action spills over into the hallways and break areas too, where professional connections and friendships are made and renewed, collaboration prospects broached and firmed up, and much “catching up” undertaken. It’s hard to do any of these things well within the e-cocoons in which we seem to spend so much of our work (and personal) lives you’ll be glad you came!","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"1 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88875483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Greetings and thanks from the general chair 主席的问候和感谢

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-04 DOI: 10.1109/ACC.2014.6858578

D. Tilbury

引用次数: 0

Technical program overview 技术方案概述

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-04 DOI: 10.1109/ACC.2014.6858572

G. Balas

引用次数: 0

MPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas. MPC设计用于快速泵衰减和加速高血糖反应治疗T1DM与人工胰腺。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-01 Epub Date: 2014-07-21 DOI: 10.1109/ACC.2014.6859247

Ravi Gondhalekar, Eyal Dassau, Francis J Doyle

{"title":"MPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas.","authors":"Ravi Gondhalekar, Eyal Dassau, Francis J Doyle","doi":"10.1109/ACC.2014.6859247","DOIUrl":"10.1109/ACC.2014.6859247","url":null,"abstract":"The design of a Model Predictive Control (MPC) strategy for the closed-loop operation of an Artificial Pancreas (AP) for treating Type 1 Diabetes Mellitus (T1DM) is considered in this paper. The contribution of this paper is to propose two changes to the usual structure of the MPC problems typically considered for control of an AP. The first proposed change is to replace the symmetric, quadratic input cost function with an asymmetric, quadratic function, allowing negative control inputs to be penalized less than positive ones. This facilitates rapid pump-suspensions in response to predicted hypoglycemia, while simultaneously permitting the design of a conservative response to hyperglycemia. The second proposed change is to penalize the velocity of the predicted glucose level, where this velocity penalty is based on a cost function that is again asymmetric, but additionally state-dependent. This facilitates the accelerated response to acute, persistent hyperglycemic events, e.g., as induced by unannounced meals. The novel functionality is demonstrated by numerical examples, and the efficacy of the proposed MPC strategy verified using the University of Padova/Virginia metabolic simulator.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2014 ","pages":"4224-4230"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ACC.2014.6859247","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34975378","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: 29

Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions. 自适应行为干预中顺序决策策略的混合模型预测控制。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-01 DOI: 10.1109/ACC.2014.6859462

Yuwen Dong, Sunil Deshpande, Daniel E Rivera, Danielle S Downs, Jennifer S Savage

{"title":"Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.","authors":"Yuwen Dong, Sunil Deshpande, Daniel E Rivera, Danielle S Downs, Jennifer S Savage","doi":"10.1109/ACC.2014.6859462","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859462","url":null,"abstract":"Control engineering offers a systematic and efficient method to optimize the effectiveness of individually tailored treatment and prevention policies known as adaptive or \"just-in-time\" behavioral interventions. The nature of these interventions requires assigning dosages at categorical levels, which has been addressed in prior work using Mixed Logical Dynamical (MLD)-based hybrid model predictive control (HMPC) schemes. However, certain requirements of adaptive behavioral interventions that involve sequential decision making have not been comprehensively explored in the literature. This paper presents an extension of the traditional MLD framework for HMPC by representing the requirements of sequential decision policies as mixed-integer linear constraints. This is accomplished with user-specified dosage sequence tables, manipulation of one input at a time, and a switching time strategy for assigning dosages at time intervals less frequent than the measurement sampling interval. A model developed for a gestational weight gain (GWG) intervention is used to illustrate the generation of these sequential decision policies and their effectiveness for implementing adaptive behavioral interventions involving multiple components.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2014 ","pages":"4198-4203"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ACC.2014.6859462","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33015670","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: 16

A Hybrid Model Predictive Control Strategy for Optimizing a Smoking Cessation Intervention. 一个优化戒烟干预的混合模型预测控制策略。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-06-01 DOI: 10.1109/ACC.2014.6859466

Kevin P Timms, Daniel E Rivera, Megan E Piper, Linda M Collins

{"title":"A Hybrid Model Predictive Control Strategy for Optimizing a Smoking Cessation Intervention.","authors":"Kevin P Timms, Daniel E Rivera, Megan E Piper, Linda M Collins","doi":"10.1109/ACC.2014.6859466","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859466","url":null,"abstract":"The chronic, relapsing nature of tobacco use represents a major challenge in smoking cessation treatment. Recently, novel intervention paradigms have emerged that seek to adjust treatments over time in order to meet a patient's changing needs. This article demonstrates that Hybrid Model Predictive Control (HMPC) offers an appealing framework for designing these optimized, time-varying smoking cessation interventions. HMPC is a particularly appropriate approach as it recognizes that intervention doses must be assigned in predetermined, discrete units while retaining receding-horizon, constraint-handling, and combined feedback and feedforward capabilities. Specifically, an intervention algorithm is developed here in which counseling and two pharmacotherapies are manipulated to reduce daily smoking and craving levels. The potential usefulness of such an intervention is illustrated through simulated treatment of a quit attempt in a hypothetical patient, which highlights that prioritizing reduction in craving over total daily smoking levels significantly reduces craving levels, suppresses relapse, and successfully rejects time-varying disturbances such as stress, all while adhering to several practical operational constraints and resource use considerations.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2014 ","pages":"2389-2394"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ACC.2014.6859466","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32819215","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: 20

Local E-optimality Conditions for Trajectory Design to Estimate Parameters in Nonlinear Systems. 非线性系统参数估计轨迹设计的局部e -最优性条件。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-01-01 DOI: 10.1109/ACC.2014.6858649

Andrew D Wilson, Todd D Murphey

引用次数: 4

Communication through motion in dance with topological constraints 在具有拓扑约束的舞蹈中通过运动进行交流

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2014-01-01 DOI: 10.1109/ACC.2014.6859167

Kayhan Özcimder

引用次数: 1