Research Direction1. Measurement, modeling and control of precision mechatronic systems, especially for multi-dimensional precision positioning stages with piezoelectric actuators. 2. Real-time identification, filtering and control of non-smooth dynamic systems, especially for mechanical systems with saturation, dead zone, backlash or hysteresis. 3. Biomedical measurement, signal processing and pattern recognition. Academic AchievementSelected publications Y. Tan, R. Dong, Z. Li, G. Chai, and M. Li, “Online Optimization Control with Predictive Gradient Descent for MEMS Micro-mirrors”, IEEE Trans. on Industrial Electronics, DOI 10.1109/TIE.2021.3097598, 2021. Y. Tan , W. Cheng, R. Dong, Q. Tan , and Q. Cao,“Online Optimizing Positioning Control With Model Error Compensator for LEGRV System”, IEEE/ASME Trans. on Mechatronics, 25(2), pp. 594-603, 2020 H. He, Y. Tan, Unsupervised Classification of Multivariate Time Series Using VPCA and Fuzzy Clustering With Spatial Weighted Matrix Distance, IEEE Trans. on Cybernetics, 50(3), pp.1096-1105, 2020. R. Dong , Y. Tan , and Q. Tan, Mirror Angle Tuning of Electromagnetic Micro-Mirrors With Oscillation Compensation, IEEE Trans. on Systems, Man and Cybernetics-Systems, 50(8), pp. 2969-2977, 2020. Q. Cao, Y. Tan, R. Dong and W. Shen, A modeling method of electromagnetic micromirror in random noisy environment, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.50, no.7, pp.2578 - 2587, 2020. H. He , Y. Tan , Pattern Clustering of Hysteresis Time Series With Multivalued Mapping Using Tensor Decomposition, IEEE Trans. on Systems, Man and Cybernetics-Systems, 48(6), pp. 993-1004, 2018. N. Luo, Y. Tan, R. Dong, Observability and controllability analysis for sandwich systems with dead-zone, International Journal of Control, Automation and Systems 14(1) , 188-197, 2016 (SCI) Dong, R., Tan, Y., Xie, Y. and K. Janschek: Recursive Identification of Micro-Positioning Stage Based on Sandwich Model with Hysteresis, IEEE Trans. on Control Systems Technology, No. 1 2017(SCI) Zhou, Z., Tan, Y., Xie, Y., Dong, R., Soft measurement of states of sandwich system with dead zone and its application, Measurement, 78, 219–234, 2016. (SCI) R. Dong, Y. Tan ,Y. Xie,Identification of micropositioning stage with piezoelectric actuators,Mechanical Systems and Signal Processing, (75),618-630, 2016.(SCI) Dong, R., Tan, Y., and Janschek, K.: Non-smooth predictive control for Wiener systems with backlash-Like hysteresis. IEEE/ASME Trans. on Mechatronics, 21(1), 17-28, 2016. (SCI) Zhou, Z., Tan, Y., Dong, R., Fault detection of piezoceramic actuator using non-smooth observer, International Journal of Applied Electromagnetics and Mechanics, 47(4), 975-991, 2015. (SCI) N. Luo, Y. Tan, R. Dong, Observability and controllability analysis for sandwich systems with backlash, International Journal of Applied Mathematics and Computer Science, 25(4), 803-814, 2015(SCI) Z. Zhou, Y Tan, R Dong, L Zhang, Fault detection for sandwich systems with hysteresis based on robust observer,International Journal of Applied Electromagnetics and Mechanics 2015, 49 (4), 577-595. (SCI) Dong, R., and Tan, Y., A model based predictive compensation for ionic polymer metal composite sensors for displacement measurement, Sensors and Actuators A-Physical, 224. 43-49, 2015.(SCI) H. He , Y. Tan, Y. Wang, Optimal Base Wavelet Selection for ECG Noise Reduction Using a Comprehensive Entropy Criterion,Entropy, 17(2), 6093-6109, 2015. (SCI) Modeling the dynamic sandwich system with hysteresis using NARMAX model ,Mathematics and Computers in Simulation, 9, 162-188, 2014. (SCI) A. Mavrinac, X. Chen, Y. Tan, Coverage Quality and Smoothness Criteria for Online View Selection in a Multi-Camera Network, ACM Transactions on Sensor Networks, 61(2), 930-942, 2014. (SCI) Y. Xie, Y. Tan, R. Dong, Nonlinear modeling and decoupling control of XY micro-positioning stages with piezoelectric actuators,IEEE/ASME Transactions on Mechatronics, 18(3), 2013.(SCI) R. Dong, Y. Tan, On-line identification algorithm and convergence analysis for sandwich systems with backlash, International Journal of Control, Automation and Systems, 9(3),2011.(SCI) Y. Tan, R. Dong, Recursive Identification of Sandwich Systems With Dead Zone and Application,IEEE Transactions on Control Systems Technology, 17(4),2009.(SCI) X. Zhang, Y. Tan, Modeling of hysteresis in piezoelectric actuators using neural networks,Mechanical Systems and Signal Processing, 23(8),2009.(SCI) L. Deng, Y. Tan, Modeling hysteresis in piezoelectric actuators using NARMAX models,Sensors and Actuators A: Physical,149(1), 2009.(SCI) Y. Xie, Y Tan, R. Dong, Identification of sandwich systems with a dead zone using combinational input signals,Transactions ofthe Institute of Measurement and Control,33(8), 2012.(SCI) L. Ma, Y. Tan, et. al., A neural networks based model of inverse hysteresis, Physica B, 406(21), 2011.(SCI) Yonghong Tan, Ruili Dong, Hui Chen, and Hong He ,Identification of Hysteresis in Human Meridian Systems Based on NARMAX Model ,Journal of Applied Mathematics, Vol. 2012, 2012/11/28,(SCI) X. Zhang, Y. Tan, A hybrid model for rate-dependent hysteresis in piezoelectric actuators, Sensors and Actuators A: Physical, 157(1), 2010.(SCI) Y. Tan, X. Zhao, Neural modeling and control of dynamic systems with hysteresis,Transactions of the Canadian Society for Mechanical Engineering, 31(1), 2007.(SCI) R. Dong, Y. Tan, A modified Prandtl-Ishlinskii modeling method for hysteresis,Physica B-Condensed Matter, 404(8-11), 2009.(SCI) X. Zhang, Y. Tan, Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators, Physica B-Condensed Matter, 405(12), 2010.(SCI) R. Dong, Y. Tan, Internal Model Control for Dynamic Systems With Preceded Backlash,Journal of Dynamic Systems Measurement and Control-Transactions of the ASME, 132(2), 2009.(SCI) R. Dong, Y. Tan, Recursive Identification for Dynamic Systems with Backlash,Asian Journal of Control,12(1), 2010.(SCI) R. Dong, Y. Tan, Recursive Identification for Dynamic Systems with Output Backlash and Its Convergence,International Journal of Applied Mathematics and Computer Science, 19(4), 2009.(SCI) L. Deng, Y. Tan, Diagonal recurrent neural network with modified backlash operators for modeling of rate-dependent hysteresis in piezoelectric actuators, Sensors and Actuators, A: Physical,148(1),2008.(SCI) L. Ma, Y. Tan, Improved EHM-based NN hysteresis model,Sensors and Actuators, A: Physical, 141(1), 2008. (SCI) R. Dong, Y. Tan, A neural networks based model for rate-dependent hysteresis for piezoceramic actuators, Sensors and Actuators A: Physical, 147(1), 2008.(SCI) X. Zhao, Y. Tan, Modeling Hysteresis and Its Inverse Model Using Neural Networks Based on Expanded Input Space Method,IEEE Transactions on Control Systems Technology, 16(3), 2008 X. Dang, Y. Tan, RBF neural networks hysteresis modelling for piezoceramic actuator using hybrid model, Mechanical Systems and Signal Processing, 21(2), 2007.(SCI) X. Zhao, Y. Tan, Neural network based identification of Preisach-type hysteresis in piezoelectric actuator using hysteretic operator,Sensors and Actuators, A: Physical, 126(2),2006.(SCI) S. Yuan, Y. Tan, Impulse noise removal by the difference-type noise detector and the cost function-type filter,Signal Processing, 87(10), 2007.(SCI) S. Yuan, Y. Tan, Impulse noise removal by a global-local noise detector and adaptive median filter,Signal Processing, 86(9), 2006.(SCI) S. Yuan, Y. Tan, The solutions of equation-based noise detector for an adaptive median filter, Pattern Recognition, 39(11), 2006.(SCI) S. Yuan, Y. Tan, Difference-type noise detector for adaptive median filter,IEE Electronics Letters, 42(8), 2006.(SCI) C. Li, Y. Tan, Modeling of Preisach-type hysteresis nonlinearity using neural network,International Journal of Modeling and Simulation, 27(3), 2007.(EI) C. Li, Y. Tan, Adaptive output feedback control of systems preceded by the Preisach-type hysteresis, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,35(1), 2005.(SCI) P. Yang, Y. Tan, N. Sun, Measurement, simulation on dynamic characteristics of a wire gauze-fluid damping shock absorber, Mechanical Systems and Signal Processing,, 20(3), 2006.(SCI) Y. Tan, A. Van Cauwenberghe, Neural-network-based d-step-ahead predictors for nonlinear systems with time delay, Engineering Applications of Artificial Intelligence, 12(1), 1999.(SCI) Y. Tan, A. Van Cauwenberghe, Nonlinear one-step-ahead control using neural networks: Control strategy and stability design,Automatica, 32(12), 1996.(SCI) Y. Tan, M. Saif, Neural-networks-based nonlinear dynamic modeling for automotive engines,Neurocomputing, 30(1-4), 2000.(SCI)
Patents: Teaching WorkCourses for undergraduated students: Process control systems, Intelligent control systems. Course for graduated students: Modeling and Prediction of Nonlinear Dynamic Systems. Honor Reward
Social AppointmentsDr. Tan serves as the associate editor of several international journals such as International Journal of Applied Mathematics and Computer Science, Journal of Control and Technology, International Journal of Applied Mathematics and Informatics, International Journal of Modeling, Identification and Control, and Chinese Journal of Electronics. Moreover, he is the member of Technical Committee on Mechatronics, International Federation of Automatic Control (IFAC), the member of Technical Committee on Mechatronics, American Society of Mechanical Engineers (ASME), as well as the member of Technical Committee on Control Theory, Chinese Association of Automatic Control. |