[1] S. Arunsawatwong, Critical control of building under seismic disturbance, in: Control Systems Design, Springer, (2005) 339-354.
[2] Z. Li, Z. Deng, Z. Gu, New sliding mode control of building structure using RBF neural networks, in: 2010 Chinese Control and Decision Conference, IEEE, (2010) 2820-2825.
[3] R. Tikani, S. Ziaei-Rad, M. Sfahanian, Simulation and experimental evaluation of a magneto-rheological hydraulic engine mount, Modares Mechanical Engineering, 14 (2014) 43-49 (In Persian یسراف).
[4] Y. Hojjat, K. Kakavand, M. Ghodsi, A.A. Maddah, Study on the Transient State behavior of Magneto Rheological Fluid in Magnetic Coupling, Modares Mechanical Engineering, 14 (2014) 156-162 (In Persian یسراف).
[5] M. Asgari, Gh. Payganeh, K. Malekzade Fard, F. Rashed Saghavaz, A parametric study of the free vibration analysis of composite sandwich plate with magneto-rheological smart core, ModaresMechanical Engineering , 15(2015) 396-404 (In Persian یسراف).
[6] O. Yoshida, S.J. Dyke, Seismic control of a nonlinear benchmark building using smart dampers, Journal of engineering mechanics, 130(4) (2004) 386-392.
[7] M. Bitaraf, S. Hurlebaus, Semi-active adaptive control of seismically excited 20-story nonlinear building, Engineering Structures, 56 (2013) 2107-2118.
[8] Y.J. Cha, A.K. Agrawal, Seismic retrofit of MRF buildings using decentralized semi‐active control for multi‐target performances, Earthquake Engineering & Structural Dynamics, 46(3) (2017) 409-424.
[9] S.D. Nguyen, Q.H. Nguyen, S.-B. Choi, Hybrid clustering based fuzzy structure for vibration control–Part 1: A novel algorithm for building neuro-fuzzy system, Mechanical Systems and Signal Processing, 50 (2015) 510-525.
[10] M. Askari, J. Li, B. Samali, Semi-active LQG control of seismically excited nonlinear buildings using optimal Takagi-Sugeno inverse model of MR dampers, Procedia Engineering, 14 (2011) 2765-2772.
[11] L. Zhou, C.-C. Chang, L.-X. Wang, Adaptive fuzzy control for nonlinear building-magnetorheological damper system, Journal of Structural Engineering, 129(7) (2003) 905-913.
[12] A. Bathaei, S.M. Zahrai, M. Ramezani, Semi-active seismic control of an 11-DOF building model with TMD+ MR damper using type-1 and-2 fuzzy algorithms, Journal of Vibration and Control, (2017) 1077546317696369.
[13] X. Lin, S. Chen, A modified shuffled frog-leaping algorithm-based fuzzy controller for magnetorheological damper-building system, International Journal of Computer Applications in Technology, 53(3) (2016) 279-289.
[14] G. Yan, L.L. Zhou, Integrated fuzzy logic and genetic algorithms for multi-objective control of structures using MR dampers, Journal of sound and vibration, 296(1) (2006) 368-382.
[15] H.-S. Kim, Multi-input multi-output semiactive fuzzy control os seismic-excited building with evolutionary optimization algorithms, International Journal of Control and Automation, 7(6) (2014) 143-152.
[16] M. Bitaraf, O.E. Ozbulut, S. Hurlebaus, L. Barroso, Application of semi-active control strategies for seismic protection of buildings with MR dampers, Engineering Structures, 32(10) (2010) 3040-3047.
[17] Z.Q. Gu, S.O. Oyadiji, Application of MR damper in structural control using ANFIS method, Computers & structures, 86(3) (2008) 427-436.
[18] A. K-Karamodin, H. H-Kazemi, Semi-active control of structures using neuro-predictive algorithm for MR dampers, Structural control & health monitoring, 17(3) (2010) 237.
[19] L.M. Jansen, S.J. Dyke, Semiactive control strategies for MR dampers: comparative study, Journal of Engineering Mechanics, 126(8) (2000) 795-803.
[20] M.E. Uz, M.N. Hadi, Optimal design of semi active control for adjacent buildings connected by MR damper based on integrated fuzzy logic and multi-objective genetic algorithm, Engineering Structures, 69 (2014) 135-148.
[21] K.M. Choi, S.W. Cho, H.J. Jung, I.W. Lee, Semi‐active fuzzy control for seismic response reduction using magnetorheological dampers, Earthquake engineering & structural dynamics, 33(6) (2004) 723-736.
[22] Y.-J. Cha, J.-W. Bai, Seismic fragility estimates of a moment-resisting frame building controlled by MR dampers using performance-based design, Engineering Structures, 116 (2016) 192-202.
[23] Y. Kim, R. Langari, S. Hurlebaus, MIMO fuzzy identification of building-MR damper systems, Journal of Intelligent & Fuzzy Systems, 22(4) (2011) 185-205.
[24] N.K. Chandiramani, Semiactive Control of Earthquake/Wind Excited Buildings Using Output Feedback, Procedia Engineering, 144 (2016) 1294-1306.
[25] M. E Uz, P. Sharafi, Investigation of the optimal semi-active control strategies of adjacent buildings connected with magnetorheological dampers, Iran University of Science & Technology, 6(4) (2016) 523-546.
[26] S. Dumne, M. Shrimali, S. Bharti, Earthquake performance of hybrid controls for coupled buildings with MR dampers and sliding base isolation, Asian J. Civ. Eng, 18 (2017) 63-97.
[27] N.K. Chandiramani, G.B. Motra, Lateral-torsional response control of MR damper connected buildings, in: ASME 2013 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers, (2013) V04BT04A056-V004BT004A056.
[28] L. Meirovitch, Fundamentals of vibrations, Waveland Press, 2010.
[29] S.S. Rao, Vibration of continuous systems, John Wiley & Sons, 2007.
[30] S. Awtar, S. Sen, A generalized constraint model for two-dimensional beam flexures: Nonlinear strain energy formulation, Journal of Mechanical Design, 132(8) (2010) 081009.
[31] H. Malaeke, H. Moeenfard, Analytical modeling of large amplitude free vibration of non-uniform beams carrying a both transversely and axially eccentric tip mass, Journal of Sound and Vibration, 366 (2016) 211-229.
[32] H. Moeenfard, S. Awtar, Modeling Geometric Nonlinearities in the Free Vibration of a Planar Beam Flexure With a Tip Mass, Journal of Mechanical Design, 136(4) (2014) 044502.
[33] T.T. William, D.D. Marie, Theory of vibration with applications, New Jersey, (1998).
[34] B. Spencer, S. Dyke, M. Sain, J. Carlson, Phenomenological model for magnetorheological dampers, Journal of engineering mechanics, 123(3) (1997) 230-238.
)