SBIR PHASE I: Knowledge Modeling and Computational Intelligence

SBIR 第一阶段：知识建模和计算智能

• 批准号: 9860370
• 负责人: Richard Saeks
• 金额: $ 10万
• 依托单位: Accurate Automation Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-01-01 至 1999-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9860370&HistoricalAwards=false
• 关键词: SBIR; PHASE; Knowledge; Modeling; Computational

9860370 This Small Business Innovation Research Phase I project from Accurate Automation Corp. (AAC) will develop and implement a new adaptive critic control algorithm for application in flight control. A learning process will also be developed for use with the algorithm. AAC will evaluate the performance of the adaptive critic algorithm in a batch simulated flight control application and will perform a preliminary design of a piloted flight simulator. This will set the stage for the implementation of the algorithm in the piloted simulator in Phase II. Adaptive control systems are expected to yield significant cost advantages, while also demonstrating important safety and reliability advantages.

9860370 Accurate Automation Corp.（AAC）的小型企业创新研究第一阶段项目将开发和实施一种新的自适应临界控制算法，用于飞行控制。 还将开发一个学习过程，用于该算法。 AAC将评估自适应评价算法在批处理模拟飞行控制应用中的性能，并将进行有人驾驶飞行模拟器的初步设计。 这将为在第二阶段的有人驾驶模拟器中实施算法奠定基础。 自适应控制系统预计将产生显着的成本优势，同时也表现出重要的安全性和可靠性的优势。