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

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

Fault-tolerant control strategy of nonlinear system based on state feedback 基于状态反馈的非线性系统容错控制策略

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-01-01 DOI: 10.1109/ACC.2013.6580597

Qing-nan He, Yanxia Shen, Ling-yan Ji, Z. Ji

引用次数: 0

Optimal Input Signal Design for Data-Centric Estimation Methods. 以数据为中心估计方法的最优输入信号设计。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-01-01 DOI: 10.1109/acc.2013.6580439

Sunil Deshpande, Daniel E Rivera

引用次数: 11

Convergence of distributed averaging and maximizing algorithms part I: Time-dependent graphs 收敛分布平均和最大化算法第一部分:时间相关图

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-01-01 DOI: 10.1109/acc.2013.6580794

Guodong Shi, K. Johansson

引用次数: 3

Control Systems Engineering for Understanding and Optimizing Smoking Cessation Interventions. 理解和优化戒烟干预的控制系统工程。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2013-01-01 DOI: 10.1109/acc.2013.6580123

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

{"title":"Control Systems Engineering for Understanding and Optimizing Smoking Cessation Interventions.","authors":"Kevin P Timms, Daniel E Rivera, Linda M Collins, Megan E Piper","doi":"10.1109/acc.2013.6580123","DOIUrl":"https://doi.org/10.1109/acc.2013.6580123","url":null,"abstract":"Cigarette smoking remains a major public health issue. Despite a variety of treatment options, existing intervention protocols intended to support attempts to quit smoking have low success rates. An emerging treatment framework, referred to as adaptive interventions in behavioral health, addresses the chronic, relapsing nature of behavioral health disorders by tailoring the composition and dosage of intervention components to an individual's changing needs over time. An important component of a rapid and effective adaptive smoking intervention is an understanding of the behavior change relationships that govern smoking behavior and an understanding of intervention components' dynamic effects on these behavioral relationships. As traditional behavior models are static in nature, they cannot act as an effective basis for adaptive intervention design. In this article, behavioral data collected daily in a smoking cessation clinical trial is used in development of a dynamical systems model that describes smoking behavior change during cessation as a self-regulatory process. Drawing from control engineering principles, empirical models of smoking behavior are constructed to reflect this behavioral mechanism and help elucidate the case for a control-oriented approach to smoking intervention design.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":" ","pages":"1964-1969"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/acc.2013.6580123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31976174","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

Online Markov decision processes with Kullback-Leibler control cost 具有Kullback-Leibler控制成本的在线马尔可夫决策过程

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2012-06-27 DOI: 10.1109/ACC.2012.6314926

Peng Guan, M. Raginsky, R. Willett

{"title":"Online Markov decision processes with Kullback-Leibler control cost","authors":"Peng Guan, M. Raginsky, R. Willett","doi":"10.1109/ACC.2012.6314926","DOIUrl":"https://doi.org/10.1109/ACC.2012.6314926","url":null,"abstract":"We consider an online (real-time) control problem that involves an agent performing a discrete-time random walk over a finite state space. The agent's action at each time step is to specify the probability distribution for the next state given the current state. Following the set-up of Todorov (2007, 2009), the state-action cost at each time step is a sum of a nonnegative state cost and a control cost given by the Kullback-Leibler divergence between the agent's next-state distribution and that determined by some fixed passive dynamics. The online aspect of the problem is due to the fact that the state cost functions are generated by a dynamic environment, and the agent learns the current state cost only after having selected the corresponding action. We give an explicit construction of an efficient strategy that has small regret (i.e., the difference between the total state-action cost incurred causally and the smallest cost attainable using noncausal knowledge of the state costs) under mild regularity conditions on the passive dynamics. We demonstrate the performance of our proposed strategy on a simulated target tracking problem.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2 1","pages":"1388-1393"},"PeriodicalIF":0.0,"publicationDate":"2012-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75121025","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: 13

On fuzzy observer for systems with both continuous and discrete measurements 连续和离散测量系统的模糊观测器

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2012-06-27 DOI: 10.1109/ACC.2012.6315391

C. P. Guillén-Flores, B. Castillo-Toledo, J. P. García-Sandoval, V. González-Álvarez

引用次数: 0