Mathematical Sciences: Stability and Approximation for Distributed Parameter Systems

数学科学：分布式参数系统的稳定性和逼近

• 批准号: 9527381
• 负责人: Richard Fabiano
• 金额: --
• 依托单位: University of Saint Thomas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9527381&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Stability; Approximation; Distributed

9527381 Fabiano This RUI award supports a project dealing with stability and approximation of dynamic partial differential equations and integro-differential equations. The basic issue involved is that of preservation of stability under finite dimensional approximation of the system. This is a very important question since every computational scheme for a system of partial differential equations or other infinite dimensional system involves a finite dimensional approximation of one sort or another, and it is well-known that certain approximation schemes will destroy stability or change the so-called stability margin. A recently developed method of approximation, called the method of equivalent inner products, that is known to preserve the stability margin of the original infinite dimensional system, will be studied. The method is known to be useful for approximation of bounded operators (systems of ordinary differential equations, for example). In additions to establishing convergence properties of the method in the context of the equations under consideration, reliable computer algorithms based on the method will be developed. The mathematical equations governing the motion of vibrating flexible elastic structures are used to model such diverse physical systems as robot arms, large antennae, buildings (vibrating in an earthquake, for example), airplane wings, and so forth. Computer algorithms are often used to simulate these equations in order to solve complex problems in these applications. With the advent of new technologies, such as advanced actuators and materials, and enhanced performance requirements, together with the need to better understand and influence the motion of these systems, there is a necessity for more sophisticated mathematical models and theoretically sound, reliable numerical algorithms for model simulation and approximation. This project will focus on a new approximation method which has shown significant promise for imp acting exactly these types of problems. Basic convergence properties of the method will be developed, as well as associated software based on the method. ***

小行星9527381 这个RUI奖支持一个处理动态偏微分方程和积分微分方程的稳定性和近似的项目。 所涉及的基本问题是，在有限维近似下的系统的稳定性的保存。 这是一个非常重要的问题，因为偏微分方程系统或其他无限维系统的每个计算方案都涉及一种或另一种有限维近似，并且众所周知，某些近似方案会破坏稳定性或改变所谓的稳定裕度。 最近发展的一种近似方法，称为 将研究已知保持原始无穷维系统的稳定裕度的等效内积。 已知该方法对于有界算子（例如常微分方程组）的逼近是有用的。 除了在所考虑的方程的上下文中建立该方法的收敛特性之外，还将开发基于该方法的可靠的计算机算法。 振动柔性体运动的数学方程 弹性结构被用来模拟诸如机器人这样的各种物理系统 手臂、大型天线、建筑物（例如在地震中振动）、飞机机翼等等。计算机算法通常用于模拟这些方程，以解决这些应用中的复杂问题。随着新技术的出现，如先进的致动器和材料，以及增强的性能要求，以及需要更好地理解和影响这些系统的运动，有必要更复杂的数学模型和理论上健全，可靠的数值算法模型模拟和近似。这个项目将集中在一个新的近似方法，它已经显示出显着的承诺，为imp精确地处理这些类型的问题。 将开发该方法的基本收敛特性，以及基于该方法的相关软件。 ***