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Application of Magnetorheological Damper Semi-Active Control Based on Artificial Neural Networks
Uncertainty for the building structure and nonlinear, this simulation of a multi-storey structure under earthquake is presented based on the BP neural network and system identification, controller will be built to effectively reduce the structural response, and to strengthen the unique damper performance.
Application of Magnetorheological Damper Semi-Active Control Based on Artificial Neural Networks
Uncertainty for the building structure and nonlinear, this simulation of a multi-storey structure under earthquake is presented based on the BP neural network and system identification, controller will be built to effectively reduce the structural response, and to strengthen the unique damper performance.
Application of Magnetorheological Damper Semi-Active Control Based on Artificial Neural Networks
Advanced Materials Research ; 171-172 ; 654-658
06.12.2010
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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