Proceedings of the ... American Control Conference. American Control Conference最新文献_第2页

Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation. 具有混合数据划分和离散同时扰动随机近似的行为干预的特征动态建模。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2023-05-01 Epub Date: 2023-07-03 DOI: 10.23919/acc55779.2023.10156304

Rachael T Kha, Daniel E Rivera, Predrag Klasnja, Eric Hekler

{"title":"Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation.","authors":"Rachael T Kha, Daniel E Rivera, Predrag Klasnja, Eric Hekler","doi":"10.23919/acc55779.2023.10156304","DOIUrl":"10.23919/acc55779.2023.10156304","url":null,"abstract":"This paper presents the use of discrete simultaneous perturbation stochastic approximation (DSPSA) as a routine method to efficiently determine features and parameters of idiographic (i.e. single subject) dynamic models for personalized behavioral interventions using various partitions of estimation and validation data. DSPSA is demonstrated as a valuable method to search over model features and regressor orders of AutoRegressive with eXogenous input estimated models using participant data from Just Walk (a behavioral intervention to promote physical activity in sedentary adults); results of DSPSA are compared to those of exhaustive search. In Just Walk, DSPSA efficiently and quickly estimates models of walking behavior, which can then be used to develop control systems to optimize the impacts of behavioral interventions. The use of DSPSA to evaluate models using various partitions of individual data into estimation and validation data sets also highlights data partitioning as an important feature of idiographic modeling that should be carefully considered.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2023 ","pages":"283-288"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327578/pdf/nihms-1897912.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9811443","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

Estimation of Locomotive Adhesion Coefficients and Slip Ratios 机车附着系数和滑移率的估计

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2023-01-01 DOI: 10.23919/ACC55779.2023.10155953

C. V. V. D. Merwe, J. D. L. Roux

引用次数: 0

Optimal Energy Shaping Control for a Backdrivable Hip Exoskeleton. 可反向驱动髋关节外骨骼的最佳能量成形控制。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2023-01-01 Epub Date: 2023-07-03 DOI: 10.23919/acc55779.2023.10155839

Jiefu Zhang, Jianping Lin, Vamsi Peddinti, Robert D Gregg

{"title":"Optimal Energy Shaping Control for a Backdrivable Hip Exoskeleton.","authors":"Jiefu Zhang, Jianping Lin, Vamsi Peddinti, Robert D Gregg","doi":"10.23919/acc55779.2023.10155839","DOIUrl":"10.23919/acc55779.2023.10155839","url":null,"abstract":"Task-dependent controllers widely used in exoskeletons track predefined trajectories, which overly constrain the volitional motion of individuals with remnant voluntary mobility. Energy shaping, on the other hand, provides task-invariant assistance by altering the human body's dynamic characteristics in the closed loop. While human-exoskeleton systems are often modeled using Euler-Lagrange equations, in our previous work we modeled the system as a port-controlled-Hamiltonian system, and a task-invariant controller was designed for a knee-ankle exoskeleton using interconnection-damping assignment passivity-based control. In this paper, we extend this framework to design a controller for a backdrivable hip exoskeleton to assist multiple tasks. A set of basis functions that contains information of kinematics is selected and corresponding coefficients are optimized, which allows the controller to provide torque that fits normative human torque for different activities of daily life. Human-subject experiments with two able-bodied subjects demonstrated the controller's capability to reduce muscle effort across different tasks.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2023 ","pages":"2065-2070"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41179828","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

Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity. 优化移动医疗体育锻炼干预的模型预测控制策略。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2022-06-01 Epub Date: 2022-09-05 DOI: 10.23919/acc53348.2022.9867350

Mohamed El Mistiri, Daniel E Rivera, Predrag Klasnja, Junghwan Park, Eric Hekler

{"title":"Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity.","authors":"Mohamed El Mistiri, Daniel E Rivera, Predrag Klasnja, Junghwan Park, Eric Hekler","doi":"10.23919/acc53348.2022.9867350","DOIUrl":"10.23919/acc53348.2022.9867350","url":null,"abstract":"Many individuals fail to engage in sufficient physical activity (PA), despite its well-known health benefits. This paper examines Model Predictive Control (MPC) as a means to deliver optimized, personalized behavioral interventions to improve PA, as reflected by the number of steps walked per day. Using a health behavior fluid analogy model representing Social Cognitive Theory, a series of diverse strategies are evaluated in simulated scenarios that provide insights into the most effective means for implementing MPC in PA behavioral interventions. The interplay of measurement, information, and decision is explored, with the results illustrating MPC's potential to deliver feasible, personalized, and user-friendly behavioral interventions, even under circumstances involving limited measurements. Our analysis demonstrates the effectiveness of sensibly formulated constrained MPC controllers for optimizing PA interventions, which is a preliminary though essential step to experimental evaluation of constrained MPC control strategies under real-life conditions.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":" ","pages":"1392-1397"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555804/pdf/nihms-1804961.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33512233","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

Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States. 改进社会认知理论动态建模与仿真以改进“及时”状态的估计。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2022-06-01 DOI: 10.23919/acc53348.2022.9867493

Mohamed El Mistiri, Daniel E Rivera, Predrag Klasnja, Junghwan Park, Eric Hekler

{"title":"Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of \"Just-In-Time\" States.","authors":"Mohamed El Mistiri, Daniel E Rivera, Predrag Klasnja, Junghwan Park, Eric Hekler","doi":"10.23919/acc53348.2022.9867493","DOIUrl":"https://doi.org/10.23919/acc53348.2022.9867493","url":null,"abstract":"Insufficient physical activity (PA) is commonplace in society, in spite of its significant impact on personal health and well-being. Improved interventions are clearly needed. One of the challenges faced in behavioral interventions is a lack of understanding of multi-timescale dynamics. In this paper we rely on a dynamical model of Social Cognitive Theory (SCT) to gain insights regarding a control-oriented experimental design for a behavioral intervention to improve PA. The intervention (Just Walk JITAI) is designed with the aim to better understand and estimate ideal times for intervention and support based on the concept of \"just-in-time\" states. An innovative input signal design strategy is used to study the just-in-time state dynamics through the use of decision rules based on conditions of need, opportunity and receptivity. Model simulations featuring within-day effects are used to assess input signal effectiveness. Scenarios for adherent and non-adherent participants are presented, with the proposed experimental design showing significant potential for reducing notification burden while providing informative data to support future system identification and control design efforts.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2022 ","pages":"468-473"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634811/pdf/nihms-1816579.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9765780","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: 1

Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation. 基于模型按需估计和离散同步摄动随机逼近的行为干预模型个性化。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2022-06-01 DOI: 10.23919/acc53348.2022.9867669

Rachael T Kha, Daniel E Rivera, Predrag Klasnja, Eric Hekler

{"title":"Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation.","authors":"Rachael T Kha, Daniel E Rivera, Predrag Klasnja, Eric Hekler","doi":"10.23919/acc53348.2022.9867669","DOIUrl":"https://doi.org/10.23919/acc53348.2022.9867669","url":null,"abstract":"This paper presents the use of discrete Simultaneous Perturbation Stochastic Approximation (DSPSA) to optimize dynamical models meaningful for personalized interventions in behavioral medicine, with emphasis on physical activity. DSPSA is used to determine an optimal set of model features and parameter values which would otherwise be chosen either through exhaustive search or be specified a priori. The modeling technique examined in this study is Model-on-Demand (MoD) estimation, which synergistically manages local and global modeling, and represents an appealing alternative to traditional approaches such as ARX estimation. The combination of DSPSA and MoD in behavioral medicine can provide individualized models for participant-specific interventions. MoD estimation, enhanced with a DSPSA search, can be formulated to provide not only better explanatory information about a participant's physical behavior but also predictive power, providing greater insight into environmental and mental states that may be most conducive for participants to benefit from the actions of the intervention. A case study from data collected from a representative participant of the Just Walk intervention is presented in support of these conclusions.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2022 ","pages":"671-676"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634813/pdf/nihms-1816578.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9765777","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

Spacecraft Attitude Control using Derivative-free Purely Adaptive Controller 无导数纯自适应航天器姿态控制

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2022-01-01 DOI: 10.23919/ACC53348.2022.9867258

Irene Grace Karot Polson, D. Giri

引用次数: 0

A Heat Exchanger Simulator for Testing and Demonstrating Automation Algorithms 用于测试和演示自动化算法的热交换器模拟器

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2022-01-01 DOI: 10.23919/ACC53348.2022.9867196

R. Rhinehart

引用次数: 0

PDE-Based Modeling and Non-collocated Feedback Control of Electrosurgical-Probe/Tissue Interaction. 基于pde的电外科-探针/组织相互作用建模与非配置反馈控制。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2021-05-01 Epub Date: 2021-07-28 DOI: 10.23919/acc50511.2021.9483240

Hamza El-Kebir, Joseph Bentsman

引用次数: 5

Tracking Multiple Diffusing Particles Using Information Optimal Control. 基于信息最优控制的多扩散粒子跟踪。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2021-05-01 Epub Date: 2021-07-28 DOI: 10.23919/acc50511.2021.9482619

Samuel C Pinto, Nicholas A Vickers, Fatemeh Sharifi, Sean B Andersson

引用次数: 6