Stochastic Systems and Control

随机系统与控制

• 批准号: 0204669
• 负责人: Tyrone Duncan
• 金额: --
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0204669&HistoricalAwards=false
• 关键词: Stochastic; Systems; Control

0204669DuncanThe major focus of this research is the application of a stochastic calculus for a fractional Brownian motion to stochastic systems, especially for the problems of identification and control. The importance of a fractional Brownian motion in stochastic models has been exhibited in a wide variety of applications, such as, hydrology, economics and telecommunications. One goal of the research is to develop further a stochastic calculus for a fractional Brownian motion similar to the way that the stochastic calculus for Brownian motion was developed to provide the tools for solving problems of stochastic systems with a fractional Brownian motion. Some tools of stochastic calculus that are planned for development are necessary for solving the problems of identification, filtering and control of a stochastic system with a fractional Brownian motion. The fractional Brownian motions for study include processes with values in both finite and infinite dimensional spaces. The study includes the existence and the uniqueness of solutions of stochastic differential equations and stochastic partial differential equations with a fractional Brownian motion and martingales that are formed from a fractional Brownian motion. Another family of stochastic models that are planned for study is hidden Markov models. An investigation of adaptive control for systems described by both fractional Brownian motions and hidden Markov models is planned.This research focuses on a stochastic calculus for a fractional Brownian motion. A fractional Brownian motion is a stochastic process that has been important in modeling physical systems such as those arising in hydrology, economics and telecommunications. Stochastic calculus provides the basic tool for solving problems of stochastic models that contain a fractional Brownian motion. Fractional Brownian motions have a self similarity property and many have a long range dependence property that often occur in physical phenomena. It is planned to study the control of partially known systems that contain fractional Brownian motion and hidden Markov models. Such control problems naturally arise in applications.

0204669邓肯本研究的主要焦点是分数布朗运动的随机微积分在随机系统中的应用，特别是在识别和控制问题中的应用。 分数布朗运动在随机模型中的重要性在水文学、经济学和电信等领域有着广泛的应用。 研究的一个目标是进一步发展一个随机演算的分数布朗运动类似的方式，随机演算的布朗运动的发展，提供工具，解决问题的随机系统的分数布朗运动。 随机微积分的一些工具，计划发展是必要的，解决问题的识别，过滤和控制的随机系统的分数布朗运动。 分数布朗运动的研究包括过程的价值在有限和无限维空间。 研究了具有分数布朗运动的随机微分方程和随机偏微分方程解的存在唯一性，以及由分数布朗运动形成的鞅的存在唯一性. 计划研究的另一个随机模型家族是隐马尔可夫模型。 研究了分数布朗运动和隐马尔可夫模型描述的系统的自适应控制问题，主要研究分数布朗运动的随机微积分。 分数布朗运动是一种随机过程，在水文学、经济学和电信等物理系统的建模中非常重要。 随机微积分提供了解决包含分数布朗运动的随机模型问题的基本工具。 分数布朗运动具有自相似性和长程相关性，这是物理现象中经常出现的现象。 计划研究包含分数布朗运动和隐马尔可夫模型的部分已知系统的控制。 这种控制问题在应用中自然会出现。