Proceedings of the ... American Control Conference. American Control Conference最新文献_第6页

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

Identification of Affine Linear Parameter Varying Models for Adaptive Interventions in Fibromyalgia Treatment. 纤维肌痛自适应干预的仿射线性参数变化模型的识别。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-12-31 DOI: 10.1109/acc.2013.6580125

P Lopes Dos Santos, Sunil Deshpande, Daniel E Rivera, T-P Azevedo-Perdicoúlis, J A Ramos, Jarred Younger

{"title":"Identification of Affine Linear Parameter Varying Models for Adaptive Interventions in Fibromyalgia Treatment.","authors":"P Lopes Dos Santos, Sunil Deshpande, Daniel E Rivera, T-P Azevedo-Perdicoúlis, J A Ramos, Jarred Younger","doi":"10.1109/acc.2013.6580125","DOIUrl":"https://doi.org/10.1109/acc.2013.6580125","url":null,"abstract":"There is good evidence that naltrexone, an opioid antagonist, has a strong neuroprotective role and may be a potential drug for the treatment of fibromyalgia. In previous work, some of the authors used experimental clinical data to identify input-output linear time invariant models that were used to extract useful information about the effect of this drug on fibromyalgia symptoms. Additional factors such as anxiety, stress, mood, and headache, were considered as additive disturbances. However, it seems reasonable to think that these factors do not affect the drug actuation, but only the way in which a participant perceives how the drug actuates on herself. Under this hypothesis the linear time invariant models can be replaced by State-Space Affine Linear Parameter Varying models where the disturbances are seen as a scheduling signal signal only acting at the parameters of the output equation. In this paper a new algorithm for identifying such a model is proposed. This algorithm minimizes a quadratic criterion of the output error. Since the output error is a linear function of some parameters, the Affine Linear Parameter Varying system identification is formulated as a separable nonlinear least squares problem. Likewise other identification algorithms using gradient optimization methods several parameter derivatives are dynamical systems that must be simulated. In order to increase time efficiency a canonical parametrization that minimizes the number of systems to be simulated is chosen. The effectiveness of the algorithm is assessed in a case study where an Affine Parameter Varying Model is identified from the experimental data used in the previous study and compared with the time-invariant model.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2013 ","pages":"1976-1981"},"PeriodicalIF":0.0,"publicationDate":"2013-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/acc.2013.6580125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32076005","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: 3

An Extended Kalman Filter to Estimate Human Gait Parameters and Walking Distance. 用扩展卡尔曼滤波器估算人体步态参数和行走距离

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-06-01 Epub Date: 2013-08-16 DOI: 10.1109/ACC.2013.6579926

Terrell Bennett, Roozbeh Jafari, Nicholas Gans

引用次数: 0

Hybrid Model Predictive Control for Optimizing Gestational Weight Gain Behavioral Interventions. 优化妊娠期体重增加行为干预的混合模型预测控制。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-01-01 DOI: 10.1109/acc.2013.6580124

Yuwen Dong, Daniel E Rivera, Danielle S Downs, Jennifer S Savage, Diana M Thomas, Linda M Collins

{"title":"Hybrid Model Predictive Control for Optimizing Gestational Weight Gain Behavioral Interventions.","authors":"Yuwen Dong, Daniel E Rivera, Danielle S Downs, Jennifer S Savage, Diana M Thomas, Linda M Collins","doi":"10.1109/acc.2013.6580124","DOIUrl":"10.1109/acc.2013.6580124","url":null,"abstract":"Excessive gestational weight gain (GWG) represents a major public health issue. In this paper, we pursue a control engineering approach to the problem by applying model predictive control (MPC) algorithms to act as decision policies in the intervention for assigning optimal intervention dosages. The intervention components consist of education, behavioral modification and active learning. The categorical nature of the intervention dosage assignment problem dictates the need for hybrid model predictive control (HMPC) schemes, ultimately leading to improved outcomes. The goal is to design a controller that generates an intervention dosage sequence which improves a participant's healthy eating behavior and physical activity to better control GWG. An improved formulation of self-regulation is also presented through the use of Internal Model Control (IMC), allowing greater flexibility in describing self-regulatory behavior. Simulation results illustrate the basic workings of the model and demonstrate the benefits of hybrid predictive control for optimized GWG adaptive interventions.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":" ","pages":"1970-1975"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/acc.2013.6580124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31953706","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: 26

Noise Induced Pattern Switching in Randomly Distributed Delayed Swarms. 随机分布延迟蜂群中的噪声诱导模式切换。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-01-01 DOI: 10.1109/ACC.2013.6580546

Brandon Lindley, Luis Mier-Y-Teran-Romero, Ira B Schwartz

引用次数: 11