CAREER: Robust Control-Oriented Identification: Theoretical Development and Experimental Validation

职业：稳健的面向控制的识别：理论发展和实验验证

• 批准号: 9623228
• 负责人: Jie Chen
• 金额: $ 20.94万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-01 至 2001-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9623228&HistoricalAwards=false
• 关键词: CAREER; Robust; Control; Oriented; Identification

9623228 Chen The overall technical approach to be adopted is to merge theory, simulation, and experimentation, and it draws theoretical concepts and techniques from the areas of mathematics, control theory, numerical computation, structural dynamics, and control system implementation. A unique thread in our theoretical approach is the use of classical analytic function interpolation and convex optimization techniques which appear to be extremely useful but are yet to be exploited for system identification. The proposed research, with a unifying theme on model and computational complexity, focuses on several most imminent issues that are yet to be addressed but are critical to the advance and application of robust control-oriented identification techniques, and it aims at developing accurate, computationally efficient and practically feasible identification algorithms not previously available. Numerical simulation and experimental validation involving flexible structures, turbo-machines, and active magnetic bearings will be performed in laboratory, and in collaboration with government and industrial organizations. Education and human resource development constitutes an integrable part in this proposed research. The principal education objective in this research is to provide students opportunities to participate in advanced research projects. Through this rigorous, innovative, and closely guided research program, the students will acquire and develop knowledge, skills, and methods of scientific inquiry and technological discovery, hence adequately preparing them for an engineering career in the future. A carefully coordinated, balanced,and systematic educational approach through a combination of activities in student advising, curriculum development, laboratory development, and public services will be employed to achieve this goal. While graduate students at the Doctoral and the Masters levels will participate directly in this research, the project will also benefit Senior undergraduate students through summer research and Senior design projects generated from this research. ***

9623228 Chen采用的总体技术方法是将理论，仿真和实验相结合，并从数学，控制理论，数值计算，结构动力学和控制系统实施领域汲取理论概念和技术。 在我们的理论方法中，一个独特的线程是使用经典的解析函数插值和凸优化技术，这似乎是非常有用的，但尚未被利用系统识别。 拟议的研究，一个统一的主题模型和计算的复杂性，集中在几个最紧迫的问题，尚未得到解决，但关键的鲁棒控制为导向的识别技术的进步和应用，它的目的是开发准确的，计算效率高，实际可行的识别算法以前没有。 涉及柔性结构、涡轮机和主动磁轴承的数值模拟和实验验证将在实验室中进行，并与政府和工业组织合作。 教育和人力资源开发是这项拟议研究不可分割的一部分。 本研究的主要教育目标是为学生提供参与高级研究项目的机会。 通过这个严谨，创新和密切指导的研究计划，学生将获得和发展科学探究和技术发现的知识，技能和方法，从而为未来的工程职业做好充分的准备。 通过学生咨询，课程开发，实验室开发和公共服务的活动相结合，精心协调，平衡和系统的教育方法将被用来实现这一目标。虽然博士和硕士水平的研究生将直接参与这项研究，但该项目也将通过暑期研究和这项研究产生的高级设计项目使高级本科生受益。 ***