Proceedings of the ... American Control Conference. American Control Conference最新文献_第3页

Scarcity of Cellular Resources Decreases the Robustness of Toggle Switches to Noise 蜂窝资源的稀缺性降低了拨动开关对噪声的鲁棒性

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2020-01-01 DOI: 10.23919/ACC45564.2020.9147271

A. György

引用次数: 0

Monte Carlo Simulation of Brownian Motion using a Piezo-Actuated Microscope Stage. 用压电驱动显微镜台进行布朗运动的蒙特卡罗模拟。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-07-01 Epub Date: 2019-08-29 DOI: 10.23919/acc.2019.8814397

Nicholas A Vickers, Sean B Andersson

{"title":"Monte Carlo Simulation of Brownian Motion using a Piezo-Actuated Microscope Stage.","authors":"Nicholas A Vickers, Sean B Andersson","doi":"10.23919/acc.2019.8814397","DOIUrl":"https://doi.org/10.23919/acc.2019.8814397","url":null,"abstract":"Single particle tracking is a powerful tool for studying and understanding the motions of biological macromolecules integral to cellular processes. In the past three decades there has been continuous and rapid development of these techniques in both optical microscope design and in algorithms to estimate the statistics and positions of the molecule's trajectory. Although there has been great progress, comparison between different microscope configurations and estimation algorithms has been difficult beyond simulated data. In this paper we explore using a piezo actuated microscope stage to reproduce Brownian motion. Our goal is to use this as a tool to test performance of single particle tracking optical microscopes and estimation algorithms. In this study, Monte Carlo simulations were used to assess the ability of piezo actuated microscope stages for reproducing Brownian motion. Surprisingly, the dynamics of the stage together with configuration of the system allow for preservation of the Brownian motion statistics. Further, feed forward model inverse control allows for low error tracking of Brownian motion trajectories over a wide range of diffusion constants, varying stage response times, and trajectory discrete time steps. These results show great promise in using a piezo actuated microscope stage for testing single particle tracking experimental setups.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2019 ","pages":"567-572"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/acc.2019.8814397","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38247571","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

Stochastic analysis of genetic feedback controllers to reprogram a pluripotency gene regulatory network. 遗传反馈控制器对多能基因调控网络重编程的随机分析。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-07-01 Epub Date: 2019-08-29 DOI: 10.23919/acc.2019.8814355

Simone Bruno, M Ali Al-Radhawi, Eduardo D Sontag, Domitilla Del Vecchio

{"title":"Stochastic analysis of genetic feedback controllers to reprogram a pluripotency gene regulatory network.","authors":"Simone Bruno, M Ali Al-Radhawi, Eduardo D Sontag, Domitilla Del Vecchio","doi":"10.23919/acc.2019.8814355","DOIUrl":"https://doi.org/10.23919/acc.2019.8814355","url":null,"abstract":"Cellular reprogramming is traditionally accomplished through an open loop (OL) control approach, wherein key transcription factors (TFs) are injected in cells to steer the state of the pluripotency (PL) gene regulatory network (GRN), as encoded by TFs concentrations, to the pluripotent state. Due to the OL nature of this approach, the concentration of TFs cannot be accurately controlled. Recently, a closed loop (CL) feedback control strategy was proposed to overcome this problem with promising theoretical results. However, previous analyses of the controller were based on deterministic models. It is well known that cellular systems are characterized by substantial stochasticity, especially when molecules are in low copy number as it is the case in reprogramming problems wherein the gene copy number is usually one or two. Hence, in this paper, we analyze the Chemical Master Equation (CME) for the reaction model of the PL GRN with and without the feedback controller. We computationally and analytically investigate the performance of the controller in biologically relevant parameter regimes where stochastic effects dictate system dynamics. Our results indicate that the feedback control approach still ensures reprogramming even when both the PL GRN and the controller are stochastic.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2019 ","pages":"5089-5096"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/acc.2019.8814355","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37682223","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

Positive feedback through inflammation creates bistable behavior in HIV tissue sanctuaries. 通过炎症产生的积极反馈在HIV组织庇护所中创造了双稳态行为。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-07-01 Epub Date: 2019-08-29 DOI: 10.23919/acc.2019.8815245

Aditya Jagarapu, Rajveer Mann, Michael J Piovoso, Ryan Zurakowski

{"title":"Positive feedback through inflammation creates bistable behavior in HIV tissue sanctuaries.","authors":"Aditya Jagarapu, Rajveer Mann, Michael J Piovoso, Ryan Zurakowski","doi":"10.23919/acc.2019.8815245","DOIUrl":"https://doi.org/10.23919/acc.2019.8815245","url":null,"abstract":"Combination Antiretroviral Therapy (cART) consists of a cocktail of drugs administered to HIV-infected patients that can suppress the amount of HIV in the patient's blood plasma to an undetectable level. Our previous work has suggested that some HIV-infected patients, despite being placed on cART, can still have ongoing viral replication occurring in self-sustaining inflamed lymph node follicle sanctuary sites. Spatial models of the putative sites show that inflammation is a necessary condition for ongoing HIV replication. In this study, we model the hypothesis that ongoing HIV replication may provide a sufficiently strong pro-inflammatory signal to maintain inflammation levels consistent with continued HIV replication. A system of ordinary differential equations integrated with a reactive-diffusion system is used to model the HIV dynamics and the diameter of a lymph node follicle as a function of time and external influence. The estimates of the parameters in our model come from prior data when available. The results of our study show that these dynamics have two stable steady-state solutions, one with low inflammation and no ongoing HIV replication in the site, and one with high inflammation and high levels of ongoing HIV replication in the site. We furthermore show that the system can transition between the two outcomes in response to a transient exogenous addition of pro-inflammatory signaling, consistent with the antigenic stimulus of a secondary infection. The spatial isolation of the sites results in a low viral load in the blood plasma for both conditions.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2019 ","pages":"3456-3461"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/acc.2019.8815245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37717852","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: 2

Student Programs 学生项目

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-04-24 DOI: 10.1644/1545-1542-90.5.1274

引用次数: 0

Synthesis of Minimum-Cost Shields for Multi-agent Systems. 多代理系统最低成本屏蔽的合成。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-01-01 Epub Date: 2019-08-29 DOI: 10.23919/acc.2019.8815233

Suda Bharadwaj, Roderik Bloem, Rayna Dimitrova, Bettina Könighofer, Ufuk Topcu

引用次数: 0

Bistability Requires Better Balanced Toggle Switches in the Presence of Competition for Shared Cellular Resources 双稳定性要求在共享蜂窝资源竞争中更好地平衡拨动开关

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2019-01-01 DOI: 10.23919/ACC.2019.8815350

A. György

引用次数: 0

Robust H∞ Observer-Based Stabilization of Linear Discrete-Time Systems with Parameter Uncertaintes 参数不确定线性离散系统的鲁棒H∞观测器镇定

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 DOI: 10.23919/ACC.2018.8431745

C. Bennani, F. Bedouhene, A. Zemouche, H. Bibi, K. C. Draa, A. Aitouche, R. Rajamani

引用次数: 3

Learning-based Approaches for Controlling Neural Spiking. 基于学习的神经尖峰控制方法

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 Epub Date: 2018-08-16 DOI: 10.23919/acc.2018.8431158

Sensen Liu, Noah M Sock, ShiNung Ching

{"title":"Learning-based Approaches for Controlling Neural Spiking.","authors":"Sensen Liu, Noah M Sock, ShiNung Ching","doi":"10.23919/acc.2018.8431158","DOIUrl":"10.23919/acc.2018.8431158","url":null,"abstract":"We consider the problem of controlling populations of interconnected neurons using extrinsic stimulation. Such a problem, which is relevant to applications in both basic neuroscience as well as brain medicine, is challenging due to the nonlinearity of neuronal dynamics and the highly unpredictable structure of underlying neuronal networks. Compounding this difficulty is the fact that most neurostimulation technologies offer a single degree of freedom to actuate tens to hundreds of interconnected neurons. To meet these challenges, here we consider an adaptive, learning-based approach to controlling neural spike trains. Rather than explicitly modeling neural dynamics and designing optimal controls, we instead synthesize a so-called control network (CONET) that interacts with the spiking network by maximizing the Shannon mutual information between it and the realized spiking outputs. Thus, the CONET learns a representation of the spiking network that subsequently allows it to learn suitable control signals through a reinforcement-type mechanism. We demonstrate feasibility of the approach by controlling networks of stochastic spiking neurons, wherein desired patterns are induced for neuron-to-actuator ratios in excess of 10 to 1.","PeriodicalId":74510,"journal":{"name":"Proceedings of the ... American Control Conference. American Control Conference","volume":"2018 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046338/pdf/nihms-1056743.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38877182","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

Passivity-Based Control with a Generalized Energy Storage Function for Robust Walking of Biped Robots. 基于广义能量存储函数的双足机器人鲁棒行走无源控制。

Proceedings of the ... American Control Conference. American Control Conference Pub Date : 2018-06-01 Epub Date: 2018-08-16 DOI: 10.23919/ACC.2018.8431783

Mark R Yeatman, Ge Lv, Robert D Gregg

引用次数: 3