1. Al-Dawod, M., Samali, B., Kwok, K. C. S., Naghdy, F., "Fuzzy controller for seismically excited nonlinear buildings", Journal of Engineering Mechanics, vol. 130(4), 2004, p. 407-415. [
DOI:10.1061/(ASCE)0733-9399(2004)130:4(407)]
2. Bani-Hani, K. A., Mashal, A., Sheban, M. A., "Semi-active neuro-control for base-isolation system using magnetorheological (MR) dampers", Earthquake Engineering & Structural Dynamics, vol. 35, 2006, p. 1119-1144. [
DOI:10.1002/eqe.574]
3. Choi, K. M., Cho, S. W., Jung, H. J., Lee, I. W., "Semi-active fuzzy control for seismic response reduction using magnetorheological dampers", Earthquake Engng Struct. Dyn., vol. 33, 2004, p. 723-736. [
DOI:10.1002/eqe.372]
4. Dyke, S. J., Spencer, B. F., Sain, M. K., Carlson, J. D., "Modeling and control of magnetorheological dampers for seismic response reduction", Smart Materials and Structures, vol. 5, 1996, p. 565-575. [
DOI:10.1088/0964-1726/5/5/006]
5. Dyke, S. J., Yi, F., Carlson, J. D., "Application of magnetorheological dampers to seismically excited structures", Proc., Int. Modal Anal. Conf., Bethel, Conn, 1999.
6. Gu, Z. Q., Oyadiji, S. O., "Application of MR damper in structural control using ANFIS method", Computers and Structures, vol. 86, 2008, p. 427-436. [
DOI:10.1016/j.compstruc.2007.02.024]
7. Jang, J. S. R., "ANFIS: Adaptive network-based fuzzy inference systems", IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, 1993, p. 665-685. [
DOI:10.1109/21.256541]
8. Jung, H. J., Lee, H. J., Yoon, W. H., Oh, J. W., Lee, I. W., "Semiactive neurocontrol for seismic response reduction using smart damping strategy", Journal of Computing in Civil Engineering, vol. 18(3), 2004, p. 277-280. [
DOI:10.1061/(ASCE)0887-3801(2004)18:3(277)]
9. Kadhim, H. H., "Self Learning of ANFIS Inverse Control using Iterative Learning Technique", International Journal of Computer Applications, vol. 21(8), 2011, p. 24-29. [
DOI:10.5120/2532-3450]
10. Karamodin, A., Irani, F., Baghban, A., "Effectiveness of a fuzzy controller on the damage index of nonlinear benchmark buildings", Scientia iranica A, vol. 19(1), 2012, p. 1-10. [
DOI:10.1016/j.scient.2011.12.002]
11. Kerboua, M., Benguediab, M., Megnounif, A., Benrahou, K. H., Kaoulala, F., "Semi active control of civil structures, analytical and numerical studies", Physics Procedia, vol. 55, 2014, p. 301-306. [
DOI:10.1016/j.phpro.2014.07.044]
12. Kumar, R., Singh, S. P., Chandrawat, H. N., "MIMO adaptive vibration control of smart structures with quickly varying parameters: Neural networks vs classical control approach", Journal of Sound and Vibration, vol. 307, 2007, p. 639-661. [
DOI:10.1016/j.jsv.2007.06.028]
13. Kusagur, A., Kodad, S. F., Ram, B. V. S., "Modeling, Design & Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Speed Control of Induction Motor", International Journal of Computer Applications, vol. 6(12), 2010, p. 29-44. [
DOI:10.5120/1123-1472]
14. K-Karamodin, A., H-Kazemi, H., Akbarzadeh-T, M. R., "Semi-active control of structures using neuropredictive algorithm for MR dampers", 14th World Conference on Earthquake Engineering, Beijing, China, 2008. [
DOI:10.1002/stc.278]
15. Lee, H. J., Yang, Y. G., Jung, H. J., Spencer, B. F., Lee, I. W., "Semi-active neurocontrol of a base isolated benchmark structure", Structural Control and Health Monitoring, vol. 13, 2006, p. 682-692. [
DOI:10.1002/stc.105]
16. Marinaki, M., Marinakis, Y., Stavroulakis, G. E., "Fuzzy control optimized by a multi-objective differential evolution algorithm for vibration suppression of smart structures", Computers & Structures, vol. 147, 2015, p. 126-137. [
DOI:10.1016/j.compstruc.2014.09.018]
17. Ohtori, Y., Christenson, R. E., Spencer, Jr. B. F., Dyke, S. J., "Benchmark control problems for seismically excited nonlinear buildings", Journal of Engineering Mechanics, vol. 130(4), 2004, p. 366-387. [
DOI:10.1061/(ASCE)0733-9399(2004)130:4(366)]
18. Ohtori, Y., Spencer, B.F. Jr., "A MATLAB-based tool for nonlinear structural analysis", In the proceeding of the 13th ASCE engineering mechanics division specialty conference, Johns Hopkins university, Baltimore, June13-16, 1999.
19. Park, K-S., Ok, S-Y., "Modal-space reference-model-tracking fuzzy control of earthquake excited structures", Journal of Sound and Vibration, vol. 334, 2015, p. 136-150. [
DOI:10.1016/j.jsv.2014.09.009]
20. Pourzeynali, S., Lavasani, H. H., Modarayi, A. H., "Active control of high rise building structures using fuzzy logic and genetic Algorithms", Engineering Structures, vol. 29, 2007, p. 346-357. [
DOI:10.1016/j.engstruct.2006.04.015]
21. Rezaiee-Pajand, M., Akbarzadeh-T., M. R., Nikdel, A., "Direct adaptive neurocontrol of structures under earth vibration", Journal of Computing in Civil Engineering, vol. 23(5), 2009, p. 299-307. [
DOI:10.1061/(ASCE)0887-3801(2009)23:5(299)]
22. Schurter, K. C., Roschke, P. N., "Neuro-Fuzzy Control of Structures Using Magnetorheological Dampers", Proceedings of the American Control Conference, Arlington, 2001, p. 25-27. [
DOI:10.1109/ACC.2001.945866]
23. Xu, Y. L., Qu, W. L., Ko, J. M., "Seismic response control of frame structures using magnetorheological/ electrorheological dampers", Earthq. Eng. Struct. Dyn., vol. 29, 2000, p. 557-75. https://doi.org/10.1002/(SICI)1096-9845(200005)29:5<557::AID-EQE922>3.0.CO;2-X [
DOI:10.1002/(SICI)1096-9845(200005)29:53.0.CO;2-X]
24. Yang, J., Wu, J., Samali, B., Agrawal, A., "A benchmark problem for response control of wind-excited tall building", Web Site (http://www.eng.uci.edu/~jnyang/benchmark.htm), 1999.
25. Yi, F., Dyke, S. J., Caicedo, J. M., Carlson J. D., "Experimental Verification of Multi-Input Seismic Control Strategies for Smart Dampers", Journal of Engineering Mechanics, vol. 127(11), 2001, p. 1152-1164. [
DOI:10.1061/(ASCE)0733-9399(2001)127:11(1152)]
26. Yi, F., Dyke, S. J., Caicedo, J. M., Carlson, J. D., "Seismic Response Control Using Smart Dampers", Proc., American Control Conference, San Diego, CA, 2009, p. 1022-1026.