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Neural‐network control of building structures by a force‐matching training scheme
Author(s) -
Liut D. A.,
Matheu E. E.,
Singh M. P.,
Mook D. T.
Publication year - 1999
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/(sici)1096-9845(199912)28:12<1601::aid-eqe884>3.0.co;2-g
Subject(s) - emulation , controller (irrigation) , artificial neural network , matching (statistics) , scheme (mathematics) , computer science , acceleration , engineering , set (abstract data type) , control theory (sociology) , control engineering , control (management) , artificial intelligence , mathematical analysis , statistics , physics , mathematics , classical mechanics , agronomy , economics , biology , programming language , economic growth
A method to generate an efficient control law for a neural‐network controller is presented to reduce the dynamic response of buildings exposed to earthquake‐induced ground excitations. The proposed training scheme for the neural‐network controller does not rely on the emulation of the structure to be controlled. The approach used for this work is based on a force‐matching procedure, and it directly utilizes the dynamic data characterizing the structure response to generate an efficient training signal. The proposed controller has a feedback structure, utilizing a limited set of response quantities. A shear building actuated at its top by a tuned‐mass damper is utilized to demonstrate the effectiveness of the controller. For training purposes, an ensemble of synthetically generated ground‐motion time histories, with appropriate site spectrum characteristics, have been used. The performance of the trained controller is then evaluated for two different historic ground‐acceleration records that do not belong to the training set of time histories. The numerical simulations show the control effectiveness of the proposed scheme with modest control requirements. Copyright © 1999 John Wiley & Sons Ltd.