𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A new numerical algorithm for sub-optimal control of earthquake excited linear structures

✍ Scribed by Mehmet Bakioglu; Unal Aldemir


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
146 KB
Volume
50
Category
Article
ISSN
0029-5981

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Exact optimal classical closed–open‐loop control is not achievable for the buildings under seismic excitations since it requires the whole knowledge of earthquake in the control interval. In this study, a new numerical algorithm for the sub‐optimal solution of the optimal closed–open‐loop control is proposed based on the prediction of near‐future earthquake excitation using the Taylor series method and the Kalman filtering technique. It is shown numerically that how the solution is related to the predicted earthquake acceleration values. Simulation results show that the proposed numerical algorithm are better than the closed‐loop control and the instantaneous optimal control and proposed numerical solution will approach the exact optimal solution if the more distant future values of the earthquake excitation can be predicted more precisely. Effectiveness of the Kalman filtering technique is also confirmed by comparing the predicted and the observed time history of NS component of the 1940 El Centro earthquake. Copyright © 2001 John Wiley & Sons, Ltd.


📜 SIMILAR VOLUMES


APPLICATIONS OF A SUB-OPTIMAL DISCONTINU
✍ G. Bartolini; A. Ferrara; E. Usai 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 343 KB 👁 2 views

In this paper the authors present a couple of algorithms, one for the case of analogue devices and one for the case of digital devices, that realize a nonlinear controller performing a second order sliding mode. These algorithms allow the finite time stabilization of uncertain second order nonlinear

A new numerical method for the boundary
✍ H. M. Park; W. J. Lee 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 179 KB 👁 1 views

## Abstract A new numerical method is developed for the boundary optimal control problems of the heat conduction equation in the present paper. When the boundary optimal control problem is solved by minimizing the objective function employing a conjugate‐gradient method, the most crucial step is th