2012 IEEE 51st IEEE Conference on Decision and Control (CDC)最新文献_第6页

Stochastic analysis of genetic feedback circuit controlling HIV cell-fate decision 控制HIV细胞命运决定的遗传反馈电路的随机分析

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6425836

Abhyudai Singh

{"title":"Stochastic analysis of genetic feedback circuit controlling HIV cell-fate decision","authors":"Abhyudai Singh","doi":"10.1109/CDC.2012.6425836","DOIUrl":"https://doi.org/10.1109/CDC.2012.6425836","url":null,"abstract":"After infecting a CD4+ T cell, Human Immunodeficiency Virus (HIV) can either replicate and kill the cell or enter latency, a dormant state of the virus where viral gene-expression is turned OFF. Experimental work has shown that a genetic positive feedback circuit under the control of a key HIV regulatory protein, Tat, critically influences this cell fate decision between viral replication and latency. Here, we build and analyze a stochastic model of this genetic feedback circuit. Interestingly, although the deterministic model of this circuit lacks bistability, the stochastic model can exhibit bimodal distributions of Tat levels. The modes of this bimodal distribution correspond to an ON (high Tat level) and OFF (low Tat level) state of the circuit and can be interpreted as different fates of the infected cell. For the proposed stochastic model, we find regions of the parameter space where this genetic feedback circuit exhibits unimodal and bimodal distributions of Tat levels. Our analysis predicts that in physiologically relevant parameter regimes the Tat feedback circuit will exhibit bimodality, consistent with experimental observations. In summary, results presented here provide important insights into the functioning of this essential HIV feedback circuit and shows how circuit parameters can be perturbed to bias the viral cell fate decision at the single-cell level.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125432828","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: 15

Effect of various uncertainties on the performance of occupancy-based optimal control of HVAC zones 各种不确定因素对基于占用率的暖通空调区域优化控制性能的影响

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426111

Siddharth Goyal, H. Ingley, P. Barooah

{"title":"Effect of various uncertainties on the performance of occupancy-based optimal control of HVAC zones","authors":"Siddharth Goyal, H. Ingley, P. Barooah","doi":"10.1109/CDC.2012.6426111","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426111","url":null,"abstract":"Model Predictive Control (MPC) has emerged as a potential control architecture for operating buildings in a more energy efficient manner. We study through simulations the effect of several sources of uncertainty that arise in the implementation of MPC on the energy consumption, thermal comfort, and indoor air quality (IAQ). These include occupancy profile, measurement errors and mismatch between the plant and its model that the control algorithm uses. Simulations are carried out for two extreme cases: a winter day with no solar load and a summer day with high solar load. The study shows that increasing fluctuations in occupancy, errors in measuring occupancy, and model mismatch have the strongest impact on the energy consumption. However, measurement errors in outside temperature and solar load does not have significant impact. Therefore, it is possible to improve the controller performance by using more accurate occupancy sensors. Furthermore, implementation cost can also be reduced by eliminating the sensors and prediction algorithms for predicting outside temperature and thermal loads without compromising the controller performance. Even with these uncertainties, MPC delivers 12-37% reduction of energy use over conventional control methods without affecting thermal comfort and IAQ.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601188","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: 35

A note on disturbance observer with unknown relative degree of the plant 对扰动观测器中未知的相对程度的说明

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426142

N. Jo, Youngjun Joo, H. Shim, Y. Son

引用次数: 3

Scalable positivity preserving model reduction using linear energy functions 基于线性能量函数的可伸缩保正模型约简

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6427032

Aivar Sootla, A. Rantzer

引用次数: 22

State estimation over a lossy network using linear temporal coding 使用线性时间编码的有耗网络状态估计

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426825

Lidong He, Dongfang Han, Xiaofan Wang, Ling Shi

引用次数: 1

A travelling salesman problem for a class of heterogeneous multi-vehicle systems 一类异构多车系统的旅行推销员问题

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426488

E. Garone, J. Determe, R. Naldi

引用次数: 6

On the optimal trajectory generation for servomotors: A Hamiltonian approach 伺服电机最优轨迹生成:哈密顿方法

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426478

Yebin Wang, Koichiro Ueda, S. Bortoff

引用次数: 12

Path following of underactuated autonomous underwater vehicles in the presence of ocean currents 欠驱动自主水下航行器在洋流存在下的路径跟踪

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6427007

W. Caharija, K. Pettersen, J. Gravdahl, E. Børhaug

引用次数: 68

A control systems approach to HIV prevention with impulsive control input 具有脉冲控制输入的HIV预防控制系统方法

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426853

Hyeygjeon Chang, C. Moog, A. Astolfi

引用次数: 2

An invariance principle for time-varying systems 时变系统的不变性原理

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Pub Date : 2012-12-01 DOI: 10.1109/CDC.2012.6426537

E. J. Hancock, A. Papachristodoulou

引用次数: 3