Research Initiation Award: Intelligent Computing in Automating the Design and Control of Complex Physical Systems

研究启动奖：复杂物理系统自动化设计和控制中的智能计算

• 批准号: 9308639
• 负责人: Feng Zhao
• 金额: $ 9.8万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-07-15 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9308639&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Intelligent; Computing

Computationally simulating complex physical systems in engineering design has become a common practice. Yet most of today's simulations rely on extensive numerical computations. Nonlinear physical systems can exhibit extremely complex behaviors that defy human analysis and pure numerical simulations. The analysis and design for these systems are limited by the available computational power and the system complexities. This research project will develop powerful computer simulation technologies for the analysis and design of nonlinear control systems. Programmable primitives will be developed for constructing simulations and synthesizing high-performance controllers. Hybrid computation will be for integrating symbolic and numerical methods with AI reasoning and representation techniques in (1) manipulating and visualizing the dynamics of physical systems based on a phase-space representation, and (2) guiding the execution of numerical computations. The expected results of this is to expand the scope of what current numerical simulation programs or state-of-the-art knowledge-based systems can do solving pressing scientific and engineering problems.

计算在工程设计中模拟复杂的物理系统已成为一种常见实践。 然而，当今大多数模拟都依赖于广泛的数值计算。 非线性物理系统可以表现出极为复杂的行为，可以违背人类分析和纯数值模拟。 这些系统的分析和设计受到可用的计算能力和系统复杂性的限制。 该研究项目将开发强大的计算机仿真技术，用于非线性控制系统的分析和设计。 将开发可编程的原始图，以构建模拟和综合高性能控制器。 混合计算将用于将符号和数值方法与（1）在基于相位空间表示基于物理系统的动力学中的AI推理和表示技术相结合，以及（2）指导数值计算的执行。 这样做的预期结果是扩大当前数值模拟程序或基于知识的最先进的系统可以解决紧迫的科学和工程问题的范围。