Steel and Composite Structures

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Grey algorithmic control and identification for dynamic coupling composite structures

  • ZY Chen (Guangdong University of Petrochemical Technology, School of Science) ;
  • Ruei-yuan Wang (Guangdong University of Petrochemical Technology, School of Science) ;
  • Yahui Meng (Guangdong University of Petrochemical Technology, School of Science) ;
  • Timothy Chen (School of Science, Guangdong University of Petrochemical Technology)
  • Received : 2022.02.26
  • Accepted : 2023.10.16
  • Published : 2023.11.25
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Abstract

After a disaster like the catastrophic earthquake, the government have to use rapid assessment of the condition (or damage) of bridges, buildings and other infrastructures is mandatory for rapid feedbacks, rescue and post-event management. Many domain schemes based on the measured vibration computations, including least squares estimation and neural fuzzy logic control, have been studied and found to be effective for online/offline monitoring of structural damage. Traditional strategies require all external stimulus data (input data) which have been measured available, but this may not be the generalized for all structures. In this article, a new method with unknown inputs (excitations) is provided to identify structural matrix such as stiffness, mass, damping and other nonlinear parts, unknown disturbances for example. An analytical solution is thus constructed and presented because the solution in the existing literature has not been available. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results of linear and nonlinear structures show that the proposed method is able to identify structural parameters and their changes due to damage and unknown excitations. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

Keywords

Acknowledgement

The authors are grateful for the research grants given to Ruei-Yuan Wang from the Projects of Talents Recruitment of GDUPT, Peoples R China under Grant NO. 2019rc098, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China. as well as to the anonymous reviewers for constructive suggestions.

References

  1. Bai, X., He, Y. and Xu, M. (2021), "Low-thrust reconfiguration strategy and optimization for formation flying using Jordan normal form", IEEE Transact. Aeros. Electron. Syst., 57(5), 3279-3295. https://doi.org/10.1109/TAES.2021.3074204.
  2. Cao, B., Zhao, J., Lv, Z., Gu, Y., Yang, P. and Halgamuge, S.K. (2020), "Multiobjective evolution of fuzzy rough neural network via distributed parallelism for stock Prediction", IEEE Transact. Fuzzy Syst., 28(5), 939-952. https://doi.org/10.1109/TFUZZ.2020.2972207.
  3. Cao, K., Wang, B., Ding, H., Lv, L., Tian, J., Hu, H. and Gong, F. (2021), "Achieving reliable and secure communications in wireless-powered NOMA systems", IEEE Transact. Vehicular Technol., 70(2), 1978-1983. https://doi.org/10.1109/TVT.2021.3053093.
  4. Chen, A. (2023), "Novel robotic GWO LDI modeling and control for nonlinear systems", Int. J. Acoustic. Vib., https://doi.org/10.20855/ijav.2023.28.21897.
  5. Chen, B., Hu, J., Zhao, Y. and Ghosh, B.K. (2022), "Finitetime velocity-free Rendezvous control of multiple AUV systems with intermittent communication", IEEE Transact. Syst., Man Cybernetic. Syst., 52(10), 6618-6629. https://doi.org/10.1109/TSMC.2022.3148295.
  6. Chen, J., Wang, Q., Cheng, H.H., Peng, W. and Xu, W. (2022), "A review of vision-based traffic semantic understanding in ITSs", IEEE Transact. Intel. Transport. Syst., 23(11), 19954-19979. https://doi.org/10.1109/TITS.2022.3182410.
  7. Cheng, B., Zhu, D., Zhao, S. and Chen, J. (2016), "Situation-Aware IoT Service Coordination Using the Event-Driven SOA Paradigm", IEEE Transactions on Network Service Management, 13(2), 349-361. https://doi.org/10.1109/TNSM.2016.2541171.
  8. Dai, W., Zhou, X., Li, D., Zhu, S. and Wang, X. (2022), "Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics", IEEE Transact. Ind. Inform., 18(4), 2331-2341. https://doi.org/10.1109/TII.2021.3096840.
  9. Deng, Y., Du, S., Wang, D., Shao, Y. and Huang, D. (2023), "A calibration-based hybrid transfer learning framework for RUL prediction of rolling bearing across different machines", IEEE Transact. Instrument. Measurement, 72. https://doi.org/10.1109/TIM.2023.3260283.
  10. Di, M.D and Magi, F. (2015), "Development of testing methods for endurance trials of composites components", J. Compos. Mater., 49(24), 2977-2991. https://doi.org/10.1177/0021998314558497.
  11. Eswaran, M. and Reddy G.R. (2016), "Numerical simulation of tuned liquid tank-structure systems through sigma-transformation based fluid-structure coupled solver", Wind Struct., 23(5), 421-447. https://doi.org/10.12989/was.2016.23.5.421.
  12. Han, Y., Li, H., Liu, J., Xie, N., Jia, M., Sun, Y. and Wang, S. (2023), "Life cycle carbon emissions from road infrastructure in China: A region-level analysis", Transport. Res. Part D: Transport Environ., 115, 103581. https://doi.org/10.1016/j.trd.2022.103581.
  13. Hu, D., Li, Y., Yang, X., Liang, X., Zhang, K., Liang, X. and Taciroglu, E. (2023), "Experiment and application of NATM tunnel deformation monitoring based on 3D laser scanning", Struct. Control Health Monit., 3341788. https://doi.org/10.1155/2023/3341788.
  14. Hu, J., Wu, Y., Li, T. and Ghosh, B.K. (2019), "Consensus control of general linear multiagent systems with antagonistic interactions and communication noises", IEEE Transact. Automatic Control, 64(5), 2122-2127. https://doi.org/10.1109/TAC.2018.2872197.
  15. Hu, X., Tang, T., Tan, L. and Zhang, H. (2023), "Fault detection for point machines: A review, challenges, and perspectives", Actuators, 12(10), 391. https://doi.org/10.3390/act12100391.
  16. Katunin, A. and Fidali, M. (2012), "Self-heating of polymeric laminated composite plates under the resonant vibrations: Theoretical and experimental study", Polym Compos., 33, 138-146. https://doi.org/10.1002/pc.22134.
  17. Li, D., Ge, S.S. and Lee, T. H. (2021), "Fixed-time-synchronized consensus control of multiagent systems", IEEE Transact. Control Network Syst., 8(1), 89-98. https://doi.org/10.1109/TCNS.2020.3034523.
  18. Li, D., Yu, H., Tee, K.P., Wu, Y., Ge, S.S. and Lee, T.H. (2021), "On time-synchronized stability and control", IEEE Transact. Syst. Man, Cybernetic. Syst., 52(4), 2450-2463. https://doi.org/10.1109/TSMC.2021.3050183.
  19. Li, H., Jia, M., Zhang, X., Wang, Z., Liu, Y., Yang, J. and Ma, H. (2023), "Laboratory investigation on fumes generated by different modified asphalt binders", Transportation Research Part D: Transport and Environment, 121, 103828. https://doi.org/10.1016/j.trd.2023.103828
  20. Li, J., Zhou, N., Sun, J., Zhou, S., Bai, Z., Lu, L., and Zuo, C. (2022), "Transport of intensity diffraction tomography with non-interferometric synthetic aperture for three-dimensional label-free microscopy", Light: Sci. Appl., 11(1), 154. https://doi.org/ 10.1038/s41377-022-00815-7.
  21. Li, K., Ji, L., Yang, S., Li, H. and Liao, X. (2022), "Couple-group consensus of cooperative-competitive heterogeneous multiagent systems: A fully distributed event-triggered and pinning control method", IEEE Transact. Cybernetic., 52(6), 4907-4915. https://doi.org/10.1109/TCYB.2020.3024551.
  22. Li, Q., Lin, H., Tan, X., and Du, S. (2020), "H∞ consensus for multiagent-based supply chain systems under switching topology and uncertain demands", IEEE Transact. Syst., Man, Cybernetic. Syst., 50(12), 4905-4918. https://doi.org/10.1109/TSMC.2018.2884510.
  23. Li, Z., Zhu, T., Xiao, S., Zhang, J., Wang, X. and Ding, H. (2023), "Simulation method for train curve derailment collision and the effect of curve radius on collision response", Proceedings of the Institution of Mechanical Engineers", Part F: Journal of Rail and Rapid Transit, 1294609545. https://doi.org/10.1177/09544097231154313.
  24. Liao, K., Lu, D., Wang, M. and Yang, J. (2022), "A low-pass virtual filter for output power smoothing of wind energy conversion systems", IEEE Transact. Ind. Electronics, 69(12), 12874-12885. https://doi.org/10.1109/TIE.2021.3139177.
  25. Lim, S.G. and Hong, C.S. (1989), "Prediction of transverse cracking and stiffness reduction in cross-ply laminated composites", J. Compos. Mater., 23(7), 695-713. https://doi.org/10.1177/002199838902300704.
  26. Liu, J., Fan, C., Peng, Y., Du, J., Wang, Z. and Chu, C. (2023), "Emergent leader-follower relationship in networked multiagent systems", Sci. CHINA Inform. Sci., 66, 229201:1-229201:2. https://doi.org/10.1007/s11432-022-3741-3.
  27. Liu, J., Li, H., Harvey, J., Airey, G., Lin, S., Lee, S. L.J. and Yang, B. (2023), "Study on leaching characteristics and biotoxicity of porous asphalt with biochar fillers", Transport. Res. Part D: Transport Environ., 122, 103855. https://doi.org/10.1016/j.trd.2023.103855.
  28. Liu, S. and Liu, C. (2021), "Direct harmonic current control scheme for dual three-phase PMSM drive system", IEEE Transact. Power Electronics, 36(10), 11647-11657. https://doi.org/10.1109/TPEL.2021.3069862.
  29. Liu, S. and Liu, C. (2021), "Virtual-vector-based robust predictive current control for dual three-phase PMSM", IEEE Transact. Ind. Electronics, 68(3), 2048-2058. https://doi.org/10.1109/TIE.2020.2973905.
  30. Liu, X., Shi, T., Zhou, G., Liu, M., Yin, Z., Yin, L. and Zheng, W. (2023), "Emotion classification for short texts: an improved multi-label method", Human. Soc. Sci. Commun., 10(1), 306. https://doi.org/10.1057/s41599-023-01816-6.
  31. Liu, X., Wang, S., Lu, S., Yin, Z., Li, X., Yin, L. and Zheng, W. (2023), "Adapting feature selection algorithms for the classification of Chinese texts", Systems, 11(9), 483. https://doi.org/10.3390/systems11090483.
  32. Liu, X., Zhou, G., Kong, M., Yin, Z., Li, X., Yin, L. and Zheng, W. (2023), "Developing multi-labelled corpus of twitter short texts: A semi-automatic method", Systems, 11(8), 390. https://doi.org/10.3390/systems11080390.
  33. Lu, S., Liu, M., Yin, L., Yin, Z., Liu, X., Zheng, W. and Kong, X. (2023), "The multi-modal fusion in visual question answering: a review of attention mechanisms", Peer J. Comput. Sci., 9, e1400. https://doi.org/10.7717/peerj-cs.1400.
  34. Lu, S., Liu, S., Hou, P., Yang, B., Liu, M., Yin, L. and Zheng, W. (2023), "Soft tissue feature tracking based on deep matching network", Comput. Modeling Eng. Sci., 136(1), 363-379. https://doi.org/10.32604/cmes.2023.025217.
  35. Lu, S., Yang, J., Yang, B., Yin, Z., Liu, M., Yin, L. and Zheng, W. (2023), "Analysis and design of surgical instrument localization algorithm", Comput. Modeling Eng. Sci., 137(1), 669-685. https://doi.org/10.32604/cmes.2023.027417.
  36. Lu, X., Lestari, W. and Hanagud, S. (2001), "Nonlinear vibrations of a delaminated beam", J. Vib. Control, 7(6), 803-831. https://doi.org/10.1177/107754630100700603.
  37. Luo, R., Peng, Z. and Hu, J. (2023), "On model identification based optimal control and it's applications to multi-agent learning and control", Mathematics, 11(4). https://doi.org/10.3390/math11040906.
  38. Luo, Y., Liu, J., Yang, H., Liu, H., Zeng, G. and Huang, B. (2023), "Enhanced circular dichroism by F-Type chiral metal nanostructures", Photonics, 10(9), 1028. https://doi.org/10.3390/photonics10091028.
  39. Luo, Z., Wang, H. and Li, S. (2022), "Prediction of international roughness index based on stacking fusion model", Sustainability, 14(12), 6949. https://doi.org/10.3390/su14126949.
  40. Ma, K., Li, Z., Liu, P., Yang, J., Geng, Y., Yang, B. and Guan, X. (2021), "Reliability-constrained throughput optimization of industrial wireless sensor networks with energy harvesting relay", IEEE Internet Things J., 8(17), 13343-13354. https://doi.org/1109/jiot.2021.3065966. 109/jiot.2021.3065966
  41. Ma, Q., Meng, Q. and Xu, S. (2023), "Distributed optimization for uncertain high-order nonlinear multiagent systems via dynamic gain approach", IEEE Transact. Syst. Man Cybernetic. Syst., 53(7), 4351-4357. https://doi.org/10.1109/TSMC.2023.3247456.
  42. Magi, F., Di, M.D. and Sever, I. (2016), "Damage initiation and structural degradation through resonance vibration: Application to composite laminates in fatigue", Compos. Sci. Technol., 132, 47-56. https://doi.org/10.1016/j.compscitech.2016.06.013.
  43. Meng, Q., Ma, Q. and Shi, Y. (2023), "Adaptive fixed-time stabilization for a class of uncertain nonlinear systems", IEEE Transact. Automatic Control. https://doi.org/10.1109/TAC.2023.3244151.
  44. Preumont, A. (2011), Vibration Control of Active Structures-An Introduction, Springer.
  45. Qian, J., Cao, Y., Bi, Y., Wu, H., Liu, Y., Chen, Q. and Zuo, C. (2023), "Structured illumination microscopy based on principal component analysis", eLight, 3(1), 4. https://doi.org/10.1186/s43593-022-00035-x.
  46. Rabiei, K., Ordokhani, Y. and Babolian, E. (2017), "The Boubaker polynomials and their application to solve fractional optimal control problems", Nonlinear Dyn., 88(2), 1013-1026. https://doi.org/10.1007/s11071-013-0841-8.
  47. Ronaldo, C.B. and Wendell, D.V. (2019), "A system of multiple controllers for attenuating the dynamic response of multimode floor structures to human walking", Smart Struct. Syst., 23, 467-478. https://doi.org/10.12989/sss.2019.23.5.467.
  48. She, A., Wang, L., Peng, Y. and Li, J. (2023), "Structural reliability analysis based on improved wolf pack algorithm AK-SS", Structures, 57, 105289. https://doi.org/10.1016/j.istruc.2023.105289.
  49. Shi, M., Lv, L. and Xu, L. (2023), "A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design", Eng. Comput., 40(2), 473-493. https://doi.org/10.1108/EC-10-2021-0583.
  50. Shi, Y., Hou, X., Na, Z., Zhou, J., Yu, N., Liu, S. and Liu, Y. (2023), "Bio-inspired attachment mechanism of dynastes hercules: Vertical climbing for on-orbit assembly legged robots", J. Bionic Eng., https://doi.org/10.1007/s42235-023-00423-0.
  51. Shi, Y., Hu, J., Wu, Y. and Ghosh, B.K. (2023), "Intermittent output tracking control of heterogeneous multi-agent systems over wide-area clustered communication networks", Nonlinear Anal. Hybrid Syst., 50, 101387. https://doi.org/10.1016/j.nahs.2023.101387.
  52. Sjogren, A. and Asp, L.E. (2002), "Effects of temperature on delamination growth in a carbon/epoxy composite under fatigue loading", Int J Fatigue, 24, 179-184. https://doi.org/10.1016/S0142-1123(01)00071-8.
  53. Song, F., Liu, Y., Jin, W., Tan, J. and He, W. (2022), "Data-driven feedforward learning with force ripple compensation for wafer stages: A variable-gain robust approach", IEEE Transact. Neural Networks Learning Syst., 33(4), 1594-1608. https://doi.org/10.1109/TNNLS.2020.3042975.
  54. Song, F., Liu, Y., Shen, D., Li, L. and Tan, J. (2022), "Learning control for motion coordination in wafer scanners: Toward gain adaptation", IEEE Transact. Ind. Electronics, 69(12), 13428-13438. https://doi.org/10.1109/TIE.2022.3142428.
  55. Talreja, R. (2008), "Damage and fatigue in composites - A personal account", Compos. Sci. Technol., 68(13), 2585-2591. https://doi.org/10.1016/j.compscitech.2008.04.042.
  56. Tang, Y., Liu, S., Deng, Y., Zhang, Y., Yin, L. and Zheng, W. (2021), "An improved method for soft tissue modeling", Biomedic. Signal Processing Control, 65. https://doi.org/10.1016/j.bspc.2020.102367.
  57. Tsai, P.W., Pan, J.S., Liao, B.Y., Tsai, M.J. and Istanda, V. (2012), "Bat algorithm inspired algorithm for solving numerical optimization problems", Appl. Mech. Mater., 148, 134-137. https://doi.org/10.4028/www.scientific.net/AMM.148-149.134.
  58. Tsai, P.W., Hayat, T., Ahmad, B. and Chen, C.W. (2015), "Structural system simulation and control via NN based fuzzy model", Struct. Eng. Mech., 56(3), 385-407. https://doi.org/10.12989/sem.2015.56.3.385.
  59. Wang, B., Shen, Y., Li, N., Zhang, Y. and Gao, Z. (2023), "An adaptive sliding mode fault-tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties", Int. J. Robust Nonlinear Control, https://doi.org/10.1002/rnc.6631.
  60. Wang, B., Zhang, Y. and Zhang, W. (2022), "A composite adaptive fault-tolerant attitude control for a quadrotor UAV with multiple uncertainties", J. Syst. Sci. Complexity, 35(1), 81-104. https://doi.org/10.1007/s11424-022-1030-y.
  61. Wang, F., Wang, H., Zhou, X. and Fu, R. (2022), "A driving fatigue feature detection method based on multifractal theory", IEEE Sensors J., 22(19), 19046-19059. https://doi.org/10.1109/JSEN.2022.3201015.
  62. Wang, H., Wu, X., Zheng, X. and Yuan, X. (2022), "Model predictive current control of nine-phase open-end winding PMSMs with an online virtual vector synthesis strategy", IEEE Transact. Ind. Electronics, 1. https://doi.org/10.1109/TIE.2022.3174241
  63. Wang, J., Liang, F., Zhou, H., Yang, M. and Wang, Q. (2022), "Analysis of position, pose and force decoupling characteristics of a 4-UPS/1-RPS parallel grinding robot", Symmetry, 14(4), 825. https://doi.org/10.3390/sym14040825.
  64. Wang, Q., Dai, W., Zhang, C., Zhu, J. and Ma, X. (2023), "A compact constraint incremental method for random weight networks and its application", IEEE Transact. Neural Networks Learning Syst., https://doi.org/10.1109/TNNLS.2023.3289798.
  65. Xiao, Y., Zhang, Y., Kaku, I., Kang, R. and Pan, X. (2021), "Electric vehicle routing problem: A systematic review and a new comprehensive model with nonlinear energy recharging and consumption", Renew. Sustain. Energy Rev., 151, 111567. https://doi.org/10.1016/j.rser.2021.111567.
  66. Xie, X. and Sun, Y. (2022), "A piecewise probabilistic harmonic power flow approach in unbalanced residential distribution systems", Int. J. Electric. Powe Energy Syst., 141, 108114. https://doi.org/10.1016/j.ijepes.2022.108114.
  67. Xu, B. and Guo, Y. (2022), "A novel DVL calibration method based on robust invariant extended Kalman filter", IEEE Transact. Vehicular Technol., 71(9), 9422-9434. https://doi.org/10.1109/TVT.2022.3182017.
  68. Xu, B., Wang, X., Zhang, J., Guo, Y. and Razzaqi, A.A. (2022), "A novel adaptive filtering for cooperative localization under compass failure and non-gaussian noise", IEEE Transact. Vehicular Technol., 71(4), 3737-3749. https://doi.org/10.1109/TVT.2022.3145095.
  69. Xu, K. and Liu, Y. (2023), "Millimeter-wave on-chip bandpass filter using complementary-broadside-coupled structure", IEEE Transact. Circuits Syst. II: Express Briefs. https://doi.org/10.1109/TCSII.2023.3255310.
  70. Xu, S., Dai, H., Feng, L., Chen, H., Chai, Y. and Zheng, W.X. (2023), "Fault estimation for switched interconnected nonlinear systems with external disturbances via variable weighted iterative learning", IEEE Transact. Circuits Systems II: Express Briefs. https://doi.org/10.1109/TCSII.2023.3234609.
  71. Xu, X., Sun, Y., Tian, X., Zhou, L. and Li, Y. (2023), "A novel orientation determination approach of mobile robot using inertial and magnetic sensors", IEEE Transact. Ind. Electronics, 70(4), 4267-4277. https://doi.org/10.1109/TIE.2022.3177762.
  72. Yang, J.N. Pan, S. and Huang, H. (2006), "An adaptive extended Kalman filter for structural damage identifications II: Unknown inputs", https://doi.org/10.1002/stc.171.
  73. Yang, K., Qin, N., Yu, H., Zhou, C., Deng, H., Tian, W. and Guan, J. (2022), "Correlating multi-scale structure characteristics to mechanical behavior of Caprinae horn sheaths", J. Mater. Res. Technol., 21, 2191-2202. https://doi.org/10.1016/j.jmrt.2022.10.044.
  74. Yang, K., Yu, H., Cao, X., Guan, J., Cai, S., Yang, Z. and Ritchie, R.O. (2023), "The critical role of corrugated lamellae morphology on the tough mechanical performance of natural Syncerus caffer horn sheath", Cell Reports Phys. Sci., 101576. https://doi.org/10.1016/j.xcrp.2023.101576.
  75. Yang, M., Cai, C., Wang, D., Wu, Q., Liu, Z.,and Wang, Y. (2023), "Symmetric differential demodulation-based heterodyne laser interferometry used for wide frequency-band vibration calibration", IEEE Transact. Ind. Electronics. https://doi.org/10.1109/TIE.2023.3299015.
  76. Yang, R. and Kai, Y. (2023), "Dynamical properties, modulation instability analysis and chaotic behaviors to the nonlinear coupled Schrodinger equation in fiber Bragg gratings", Modern Phys. Lett. B, 2350239. https://doi.org/10.1142/S0217984923502391.
  77. Yao, W., Yu, J., Liu, X., Zhang, Z., Feng, X. and Cai, Y. (2023), "Experimental and theoretical investigation of coupled damage of rock under combined disturbance", Int. J. Rock Mech. Mining Sci., 164, 105355. https://doi.org/10.1016/j.ijrmms.2023.105355
  78. Ying, Z.G., Ni, Y.Q. and Duan, Y.F. (2019), "Stochastic stability control analysis of an inclined stay cable under random and periodic support motion excitations", Smart Struct. Syst., 23, 641-651. https://doi.org/10.12989/sss.2019.23.6.641.
  79. Zhang, C. (2022), "The active rotary inertia driver system for flutter vibration control of bridges and various promising applications", Sci. China Technol. Sci., https://doi.org/10.1007/s11431-022-2228-0.
  80. Zhang, G., Chen, J., Zhang, Z., Sun, M., Yu, Y., Wang, J. and Cai, S. (2023), "A novel parametric model for nonlinear hysteretic behaviours with strain-stiffening of magnetorheological gel composite", Compos. Struct., 318, 117082. https://doi.org/10.1016/j.compstruct.2023.117082.
  81. Zhang, X., Pan, W., Scattolini, R., Yu, S. and Xu, X. (2022), "Robust tube-based model predictive control with Koopman operators", Automatica, 137, 110114. https://doi.org/10.1016/j.automatica.2021.110114.
  82. Zhong, Q., Han, S., Shi, K., Zhong, S. and Kwon, O. (2022), "Co-design of adaptive memory event-triggered mechanism and aperiodic intermittent controller for nonlinear networked control systems", IEEE Transact. Circuits Syst. II: Express Briefs, 69(12), 4979-4983. https://doi.org/10.1109/TCSII.2022.3188036.
  83. Zhou, C., Ren, Z., Lin, Y., Huang, Z., Shi, L., Yang, Y. and Mo, J. (2023), "Hysteresis dynamic model of metal rubber based on higher-order nonlinear friction (HNF)", Mech. Syst. Signal Processing, 189, 110117. https://doi.org/10.1016/j.ymssp.2023.110117.
  84. Zhou, D., Sheng, M., Li, J. and Han, Z. (2023), "Aerospace integrated networks innovation for empowering 6G: A survey and future challenges", IEEE Commun. Survey Tutorials, 25(2), 975-1019. https://doi.org/10.1109/COMST.2023.3245614.
  85. Zhou, X., Liu, X., Zhang, G., Jia, L., Wang, X. and Zhao, Z. (2023), "An iterative threshold algorithm of log-sum regularization for sparse problem", IEEE Transact. Circuits Syst. Video Technol., 33(9), 4728-4740. https://doi.org/10.1109/TCSVT.2023.3247944.
  86. Zhu, Q., Chen, J., Gou, G., Chen, H. and Li, P. (2017), "Ameliorated longitudinal critically refracted-Attenuation velocity method for welding residual stress measurement", J. Mater. Processing Technol., 246, 267-275. https://doi.org/10.1016/j.jmatprotec.2017.03.022.
  87. Zhu, Z.Y., Liu, Y. L., Gou, G. Q., Gao, W. and Chen, J. (2021), "Effect of heat input on interfacial characterization of the butter joint of hot-rolling CP-Ti/Q235 bimetallic sheets by Laser + CMT", Sci. Reports, 11(1), 10020. https://doi.org/10.1038/s41598-021-89343-9