Journal
JOURNAL OF VIBRATION AND CONTROL
Volume 17, Issue 14, Pages 2103-2116Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1077546310395964
Keywords
Active control of structures; artificial neural networks; earthquake-excited structures; genetic algorithm; moving sliding surface; sliding-mode control
Categories
Ask authors/readers for more resources
The neural based sliding-mode control method is developed by using advantageous specifications of sliding-mode control and artificial neural network techniques and applied to an eight storey sample building with active tendon. Success of the designed controller is examined by applying acceleration data belonging to six different earthquakes as the external driving source. A MATLAB package program is used for numerical solutions, and the obtained results are compared in graphical form, presented in tables. For the optimization process, genetic algorithm is used. In this study parametric uncertainties and time delay effects are also considered. It is seen that the success of the controller is quite high and the control force can be used for real applications. Furthermore, the obtained results indicate that the controller provides quite successful control under earthquake having different characteristics.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available