Identification and Active Control of Structures Under Earthquake Loadings

本项目包括两个研究部分：(1)验证并利用一种新的系统识别（SI）技术作为拟议的控制器；(2)研究两种主动控制方案，即改进的Luenberger极点配置和神经控制算法；对建筑物进行抗震主动控制。主要目的是探讨这两种控制方案在地震条件下土木工程结构保护中的可行性和应用。圣何塞的一栋十层公寓楼，加州的13台地震仪器记录了许多地震反应数据，将分析以验证系统识别技术，该技术能够从测量的反应记录中识别结构动力模型知道地震输入。这种SI技术将被纳入两个控制方案的制定，然后将研究其可行性和有效性。该项目包含研究机会奖（ROA）的重要组成部分，并为来自历史上少数民族机构的教师研究人员提供协作支持。

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.