Identification and Active Control of Structures Under Earthquake Loadings

该项目包括两个研究部分： (1)核查和利用作为 新系统的建议控制器 鉴定（SI）技术;（2）研究 两种主动控制方案，即，的 改进的Luenberger极点配置和神经网络 控制算法，用于主动控制 建筑抗震。 主要 目的是研究可行性 以及这两种控制方案的应用 在土木工程结构的保护中 在地震条件下。 圣何塞的一栋10层公寓楼， 加州的13个地震仪器 记录了许多地震反应数据， 分析以验证系统 识别技术能够 识别结构动态模型， 测量的响应记录， 知道地震输入。 这种SI技术 将被纳入制定 两种控制方案，其可行性和 然后将研究有效性。 这个项目包含一个重要的组成部分 研究机会奖（罗阿）和 为教师提供协作支持 历史上属于少数民族的研究者 机构。

This project consists of two research parts: (1) verification and utilization as a proposed controller of a new system identification (SI) technique, and (2) study of two active control schemes, i.e., the modified Luenberger pole placement and neural control algorithms, for the active control of structures against earthquakes. The main objective is to investigate the feasibility and application of these two control schemes in protection of civil engineering structures under seismic conditions. A 10-story apartment building in San Jose, California whose 13 seismic instruments have recorded many earthquake response data will be analyzed to validate a system identification technique which is capable of identifying the structural dynamic model from the measured response records and without knowing the seismic input. This SI technique will be incorporated into the formulation of two control schemes, whose feasibility and effectiveness will then be studied. This project contains an important component of Research Opportunity Awards (ROA) and provides collaborative support for a faculty researcher from a historically minority institution.