Controlling and Estimating the Speed of Shaking Table by Fusing Camera, Encoder and Accelerometer using ‎AUKF and Fuzzy Sliding Mode Controller

[1] S. Bianchi et al., "Shake-table tests of innovative drift sensitive nonstructural elements in a low-damage structural system," Earthquake Engineering & Structural Dynamics, vol. 50, no. 9, pp. 2398-2420, 2021, doi: https://doi.org/10.1002/eqe.3452.

[2] S. Chen, H. Zhuang, D. Quan, J. Yuan, K. Zhao, and B. Ruan, "Shaking table test on the seismic response of largescale subway station in a loess site: A case study," Soil Dynamics and Earthquake Engineering, vol. 123, pp. 173-184, 2019.

[3] H. Yang, D. Cong, Z. Yang, and J. Han, "A Practical Adaptive Sinusoidal Vibration Control Strategy for Electro-Hydraulic Shake Table," Journal of Vibration Engineering & Technologies, vol. 11, pp. 1725–1739, 2023

[4] S. Pampanin et al., "Triaxial shake table testing of an integrated low‐damage building system," Earthquake Engineering & Structural Dynamics, 2023.

[5] M. Flah, M. Ragab, M. Lazhari, and M. Nehdi, "Localization and classification of structural damage using deep learning single-channel signal-based measurement," Automation in Construction, vol. 139, p. 104271, 2022.

[6] M. Diaz, P.-É. Charbonnel, and L. Chamoin, "A new Kalman filter approach for structural parameter tracking: application to the monitoring of damaging structures tested on shaking-tables," Mechanical Systems and Signal Processing, vol. 182, p. 109529, 2023.

[7] M. A. Kuddus, J. Li, H. Hao, C. Li, and K. Bi, "Targetfree vision-based technique for vibration measurements of structures subjected to out-of-plane movements," Engineering Structures, vol. 190, pp. 210-222, 2019.

[8] J. Wen, C. Zhao, and Z. Shi, "LSTM‐based adaptive robust nonlinear controller design of a single‐axis hydraulic shaking table," IET Control Theory & Applications, vol. 17, no. 7, pp. 825-836, 2023.

[9] A. Najafi and B. F. Spencer Jr, "Modified model‐based control of shake tables for online acceleration tracking," Earthquake Engineering & Structural Dynamics, vol. 49, no. 15, pp. 1721-1737, 2020.

[10] J. Yao et al., "Sinusoidal acceleration harmonic estimation using the extended Kalman filter for an electro-hydraulic servo shaking table," Journal of Vibration and Control, vol. 21, no. 8, pp. 1566-1579, 2015.

[11] J. Yao, D. Di, G. Jiang, S. Gao, and H. Yan, "Real-time acceleration harmonics estimation for an electrohydraulic servo shaking table using Kalman filter with a linear model," IEEE Transactions on Control Systems Technology, vol. 22, no. 2, pp. 794-800, 2013.

[12] Z. Lu, Z. Wang, Y. Zhou, and X. Lu, "Nonlinear dissipative devices in structural vibration control: A review," Journal of Sound and Vibration, vol. 423, pp. 18-49, 2018.

[13] J. Lu, H. Xie, L. Hu, H. Yang, and Y. Chen, "Variableparameter feedforward control for centrifuge shaking table based on nonlinear frequency characteristic model," Mechanical Systems and Signal Processing, vol. 161, p. 108011, 2021.

[14] Y. Tang, G. Shen, Z.-C. Zhu, X. Li, and C.-F. Yang, "Time waveform replication for electro-hydraulic shaking table incorporating off-line iterative learning control and modified internal model control," Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 228, no. 9, pp. 722-733, 2014, doi: 10.1177/0959651814536553.

[15] S. Welikala, H. Lin, and P. Antsaklis, "A Decentralized Analysis and Control Synthesis Approach for Networked Systems with Arbitrary Interconnections," arXiv preprint arXiv:2204.09756, 2022.

[16] F. Beltran-Carbajal and G. Silva-Navarro, "Output feedback dynamic control for trajectory tracking and vibration suppression," Applied Mathematical Modelling, vol. 79, pp. 793-808, 2020.

[17] G. Shen, G.-M. Lv, Z.-M. Ye, D.-C. Cong, and J.-W. Han, "Implementation of electrohydraulic shaking table controllers with a combined adaptive inverse control and minimal control synthesis algorithm," Iet control theory & applications, vol. 5, no. 13, pp. 1471-1483, 2011.

[18] T. B. Ma and F. Du, "Minimal control synthesis algorithm for panel vibration control," Advanced Materials Research, vol. 804, pp. 269-274, 2013.

[19] C.-h. Gao and X.-b. Yuan, "Development of the shaking table and array system technology in China," Advances in Civil Engineering, vol. 2019, 2019.

[20] O. A. Al-Fahdawi and L. R. Barroso, "Adaptive neurofuzzy and simple adaptive control methods for full threedimensional coupled buildings subjected to bi-directional seismic excitations," Engineering Structures, vol. 232, p. 111798, 2021.

[21] A. S. Sayed, A. T. Azar, Z. F. Ibrahim, H. A. Ibrahim, N. A. Mohamed, and H. H. Ammar, "Deep learning based kinematic modeling of 3-rrr parallel manipulator," in Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020), 2020: Springer, pp. 308-321.

[22] E. W. Suseno and A. Ma'arif, "Tuning of PID controller parameters with genetic algorithm method on DC motor," International Journal of Robotics and Control Systems, vol. 1, no. 1, pp. 41-53, 2021.

[23] H. Zhang, L. Wang, and W. Shi, "Seismic control of adaptive variable stiffness intelligent structures using fuzzy control strategy combined with LSTM," Journal of Building Engineering, vol. 78, p. 107549, 2023.

[24] K. Seki, M. Iwasaki, M. Kawafuku, H. Hirai, and K. Yasuda, "Adaptive compensation for reaction force with frequency variation in shaking table systems," IEEE Transactions on Industrial Electronics, vol. 56, no. 10, pp. 3864-3871, 2009.

[25] S. Strano and M. Terzo, "A non-linear robust control of a multi-purpose earthquake simulator," in Proceedings of the World Congress on Engineering, 2013, vol. 3.

[26] M. Soleymani, A. Khalatabari-S, and B. Ghanbari-S, "Fuzzy-sliding-mode supervisory control of a seismic shake table with variable payload for robust and precise acceleration tracking," Journal of earthquake Engineering, vol. 23, no. 4, pp. 539-556, 2019.

[27] M. Tárník and J. Murgaš, "Model reference adaptive control of permanent magnet synchronous motor," Journal of Electrical Engineering, vol. 62, no. 3, pp. 117-125, 2011.

[28] C. J. O’Rourke, M. M. Qasim, M. R. Overlin, and J. L. Kirtley, "A geometric interpretation of reference frames and transformations: dq0, clarke, and park," IEEE Transactions on Energy Conversion, vol. 34, no. 4, pp. 2070-2083, 2019.

[29] X. Li and G. Gong, "Objective-oriented genetic algorithm based dynamical sliding mode control for slurry level and air pressure in shield tunneling," Automation in Construction, vol. 109, p. 102987, 2020.

[30] H. Komurcugil, S. Biricik, S. Bayhan, and Z. Zhang, "Sliding mode control: Overview of its applications in power converters," IEEE Industrial Electronics Magazine, vol. 15, no. 1, pp. 40-49, 2020.

[31] X. Cheng, X. Liu, X. Li, and Q. Yu, "An intelligent fusion estimation method for state of charge estimation of lithium-ion batteries," Energy, vol. 286, p. 129462, 2024.

[32] N. Kayhani, W. Zhao, B. McCabe, and A. P. Schoellig, "Tag-based visual-inertial localization of unmanned aerial vehicles in indoor construction environments using an onmanifold extended Kalman filter," Automation in Construction, vol. 135, p. 104112, 2022.

[33] H. Tang et al., "Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter," Engineering Applications of Artificial Intelligence, vol. 127, p. 107138, 2024.

[34] I. Ullah, Y. Shen, X. Su, C. Esposito, and C. Choi, "A localization based on unscented Kalman filter and particle filter localization algorithms," IEEE Access, vol. 8, pp. 2233-2246, 2019.

[35] Y. Zhang, M. Li, Y. Zhang, Z. Hu, Q. Sun, and B. Lu, "An enhanced adaptive unscented kalman filter for vehicle state estimation," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, 2022.

[36] D. Lee, G. Vukovich, and R. Lee, "Robust unscented Kalman filter for nanosat attitude estimation," International Journal of Control, Automation and Systems, vol. 15, pp. 2161-2173, 2017.

[37] J. H. Yoon, D. Y. Kim, and V. Shin, "Window length selection in linear receding horizon filtering," in 2008 International Conference on Control, Automation and Systems, 2008: IEEE, pp. 2463-2467.

[38] R.Havangi,F.Karimi, "Improvement of The Battery State of Charge Estimation Using Recursive Least Square Based Adaptive Extended Kalman Filter "International Journal of Industrial Electronics, Control and Optimization ,vol.7,no.2,pp.141-151,2024