课题基金 / 基金详情

DynSyst_Special_Topics: Convex Optimization Based Approach for High Fidelity Uncertainty Propagation Through Nonlinear Dynamic Systems

DynSyst_Special_Topics: Convex Optimization Based Approach for High Fidelity Uncertainty Propagation Through Nonlinear Dynamic Systems
DynSyst_Special_Topics:基于凸优化的非线性动态系统高保真度不确定性传播方法
批准号:
0908403
负责人:
Puneet Singla
金额:
$16.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-15 至 2011-12-31

项目摘要

项目成果

Puneet Singla的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The main focus of this research work is on the problem of accurate uncertainty propagation through nonlinear dynamical systems with stochastic forcing term and the design of data assimilation algorithms to determine optimal and multi-hypothesis estimates of the actual physical phenomenon. A main feature of the proposed research work is to pose the uncertainty evolution problem as a convex optimization problem with guaranteed convergence. The Fokker-Planck-Kolmogorov equation (FPKE) and Chapman-Kolmogorov equation (CKE) will be used to determine evolution of state pdf due to probabilistic uncertainty in initial or boundary conditions, model parameters and forcing function. By accurately characterizing the uncertainty associated with both process and measurement models, the proposed research offers systematic design of low-complexity data assimilation algorithms with significant improvement in nominal performance. The proposed research effort will focus on demonstrating, through rigorous analysis, simulation and design, the applicability and feasibility of these new ideas in accurate forecasting of complex physical phenomenon such as the dispersion of toxic material through atmosphere. Release of hazardous material from one or multiple source locations creates a plume, which is diffused and transported by local meteorological conditions. Any model used to represent the dispersion of a pollutant is a reflection of numerous assumptions and simplifications to permit determination of a tractable model. The uncertainties resulting from the lack of knowledge of local meteorological conditions or numerous assumptions in the modeling process can have a profoundly detrimental effect on the accurate estimate of the toxic plume. The application of the proposed methodologies to the dispersion of toxic material through the atmosphere will provide governmental agencies such as EPA or DHS means to control or monitor the emission of harmful air pollutants.An extensive plan to integrate the research plan into an educational and outreach plan will be put in place that involves graduate, undergraduate as well as high-school students and under-represented minorities in science and engineering fields
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
An Optimization Approach for Nonlinear Optimal Feedback Control Design and Uncertainty Propagation
An Optimization Approach for Nonlinear Optimal Feedback Control Design and Uncertainty Propagation
  • 批准号:
    1634590
  • 项目类别:
    Standard Grant
  • 资助金额:
    $38.5万
  • 财政年份:
    2016
  • 负责人:
    Puneet Singla
  • 依托单位:
CAREER: Uncertainty Propagation and Data Assimilation for Toxic Cloud Prediction
  • 批准号:
    1054759
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.2万
  • 财政年份:
    2011
  • 负责人:
    Puneet Singla
  • 依托单位:
Image Guided Tracking of Tumor Motion for Conformal Radiation Therapy
  • 批准号:
    0928630
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.97万
  • 财政年份:
    2009
  • 负责人:
    Puneet Singla
  • 依托单位:
海外基金