[1] Y.-L. Xu, J. He, Smart civil structures, CRC Press, 2017.
[2] J.P. Amezquita-Sanchez, H. Adeli, Signal processing techniques for vibration-based health monitoring of smart structures, Archives of Computational Methods in Engineering, 23(1) (2016) 1-15.
[3] C.R. Farrar, K. Worden, Structural health monitoring: a machine learning perspective, John Wiley & Sons, 2012.
[4] B. Spencer Jr, S. Nagarajaiah, State of the art of structural control, Journal of structural engineering, 129(7) (2003) 845-856.
[5] T. Kobori, Past, present and future in seismic response control in civil engineering structures, in: Proc., 3rd World Conf. on Structural Control, 2003.
[6] T. Soong, B. Spencer Jr, Supplemental energy dissipation: state-of-the-art and state-of-the-practice, Engineering structures, 24(3) (2002) 243-259.
[7] J. He, Y.-L. Xu, S. Zhan, Q. Huang, Structural control and health monitoring of building structures with unknown ground excitations: experimental investigation, Journal of Sound and Vibration, 390 (2017) 23-38.
[8] S.S. Rao, M. Sunar, Piezoelectricity and Its Use in Disturbance Sensing and Control of Flexible Structures: A Survey, Applied Mechanics Reviews, 47(4) (1994) 113-123.
[9] L.R. Ray, L. Tian, Damage detection in smart structures through sensitivity enhancing feedback control, Journal of Sound and Vibration, 227(5) (1999) 987-1002.
[10] V. Gattulli, F. Romeo, Integrated procedure for identification and control of MDOF structures, Journal of engineering mechanics, 126(7) (2000) 730-737.
[11] Y.L. Xu, B. Chen, Integrated vibration control and health monitoring of building structures using semi-active friction dampers: Part I—methodology, Engineering Structures, 30(7) (2008) 1789-1801.
[12] B. Chen, Y.L. Xu, Integrated vibration control and health monitoring of building structures using semi-active friction dampers: part II—numerical investigation, Engineering Structures, 30(3) (2008) 573-587.
[13] S. Nagarajaiah, Adaptive passive, semiactive, smart tuned mass dampers: identification and control using empirical mode decomposition, Hilbert transform, and short‐term Fourier transform, Structural Control and Health Monitoring: The Official Journal of the International Association for Structural Control and Monitoring and of the European Association for the Control of Structures, 16(7‐8) (2009) 800-841.
[14] M. Bitaraf, L.R. Barroso, S. Hurlebaus, Adaptive control to mitigate damage impact on structural response, Journal of Intelligent Material Systems and Structures, 21(6) (2010) 607-619.
[15] Y. Ding, S. Law, Integration of structural control and structural evaluation for large scale structural system, in: Active and Passive Smart Structures and Integrated Systems 2011, International Society for Optics and Photonics, 2011, pp. 797724.
[16] Q. Huang, Y.L. Xu, J. Li, Z. Su, H. Liu, Structural damage detection of controlled building structures using frequency response functions, Journal of Sound and Vibration, 331(15) (2012) 3476-3492.
[17] Y.L. Xu, Q. Huang, S. Zhan, Z. Su, H. Liu, FRF-based structural damage detection of controlled buildings with podium structures: Experimental investigation, Journal of Sound and Vibration, 333(13) (2014) 2762-2775.
[18] K. Karami, F. Amini, Decreasing the damage in smart structures using integrated online DDA/ISMP and semi-active control, Smart materials and structures, 21(10) (2012) 105017.
[19] Y. Lei, H. Zhou, L.J. Liu, An on-line integration technique for structural damage detection and active optimal vibration control, International Journal of Structural Stability and Dynamics, 14(05) (2014) 1440003.
[20] Y.L. Xu, Q. Huang, Y. Xia, H. Liu, Integration of health monitoring and vibration control for smart building structures with time-varying structural parameters and unknown excitations, Smart structures and systems, 15(3) (2015) 807-830.
[21] K.J. Åström, B. Wittenmark, Adaptive control, Courier Corporation, 2013.
[22] K.K. Nair, A.S. Kiremidjian, K.H. Law, Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure, Journal of Sound and Vibration, 291(1-2) (2006) 349-368.
[23] H. Sohn, C.R. Farrar, Damage diagnosis using time series analysis of vibration signals, Smart materials and structures, 10(3) (2001) 446.
[24] R. Yao, S.N. Pakzad, Autoregressive statistical pattern recognition algorithms for damage detection in civil structures, Mechanical Systems and Signal Processing, 31 (2012) 355-368.
[25] A. Datteo, G. Busca, G. Quattromani, A. Cigada, On the use of AR models for SHM: a global sensitivity and uncertainty analysis framework, Reliability Engineering & System Safety, 170 (2018) 99-115.
[26] H. Akaike, A new look at the statistical model identifications, IEEE transactions on automatic control, 19 (1974) 716-723.
[27] E. Figueiredo, J. Figueiras, G. Park, C.R. Farrar, K. Worden, Influence of the autoregressive model order on damage detection, Computer‐Aided Civil and Infrastructure Engineering, 26(3) (2011) 225-238.
[28] R.A. Fisher, The use of multiple measurements in taxonomic problems, Annals of eugenics, 7(2) (1936) 179-188.
[29] G.J. McLachlan, Discriminant analysis and statistical pattern recognition, John Wiley & Sons, 2004.
[30] A. Rytter, Vibrational based inspection of civil engineering structures, (1993).
[31] C.J. Hellier, Handbook of nondestructive evaluation, McGraw-Hill Education, 2013.
)