2012.03-2015.06 Mechanical Engineering Shanghai Jiao Tong University Doctor
2009.09-2012.03 Mechanical Engineering Shanghai Jiao Tong University Master
2005.09-2009.06 Mechanical Engineering Hua Qiao University Bachelor

2019.02-now Shanghai Jiao Tong University Assistant Professor
2015.05-2019.01 Shanghai Jiao Tong University Postdoctor
2016.09-2018.09 The University of Iowa Postdoctor

2016.09-2018.09 The University of Iowa Postdoctor

Signal processing, Nonlinear systems, Machine learning, System identification

National Natural Science Foundation of China;
Research Fund of State Key Lab of MSV;
China Postdoctoral Science Foundation

[1] C. Cheng, E. Bai, Z. Peng, Consistent Variable Selection for a High-Dimensional Nonparametric Nonlinear System by Inverse and Contour Regression, IEEE Transactions on Automatic Control, 2019, 64: 2653-2664.
[2] C. Cheng, E. Bai, Z. Peng, Testing If A Nonlinear System Is Additive Or Not, Automatica, 2019, 104: 134-140.
[3] C. Cheng, E. Bai, Z. Peng, Ranking the Importance of Variables in Nonlinear System Identification, Automatica, 2019, 103: 472-479.
[4] C. Cheng, X. Dong, Z. Peng, W. Zhang, G. Meng, Kautz basis expansion-based Hammerstein system identification through separable least squares method, Mechanical Systems and Signal Processing, 2019, 121: 929-941.
[5] E. Bai, C. Cheng, W. Zhao, Variable Selection of High-Dimensional Non-Parametric Nonlinear Systems by Derivative Averaging to Avoid the Curse of Dimensionality, Automatica, 2019, 101: 138-149.
[6] C. Cheng, E. Bai, Ranking Variables in Nonlinear Nonparametric Additive System Identification, IFAC-PapersOnLine, 2018, 51(15), 1-6.
[7] C. Cheng, Z. Peng, X. Dong, W. Zhang, G. Meng, Impulse response function identification of linear mechanical systems based on Kautz basis expansion with multiple poles. International Journal of Systems Science, 2018, 49 (7) 1559-1571.
[8] E. Bai, C. Cheng, A Data-Driven Basis Function Approach in Non-Parametric Nonlinear System Identification, Uncertainty in Complex Networked Systems, 2018, 1-47.
[9] C. Cheng, Z. Peng, X. Dong, W. Zhang, G. Meng, Nonlinear System Identification Using Kautz Basis Expansion-based Volterra-PARAFAC model, Nonlinear dynamics, 2018, 94(3), 2277–2287.
[10] C. Cheng, Z. Peng, W. Zhang, G. Meng, Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review. Mechanical Systems and Signal Processing, 2017, 87: 340-364.
[11] C. Cheng, Z. Peng, X. Dong, W. Zhang, G. Meng, A novel approach for identification of cascade of Hammerstein model. Nonlinear Dynamics, 2016, 86(1): 513-522.
[12] Y. Deng , C. Cheng, Y Yang, Z. Peng. Parametric Identification of Nonlinear Vibration Systems Via Polynomial Chirplet Transform. Journal of Vibration and Acoustics, 2016, 138(5): 051014.
[13] C. Cheng, Z. Peng, X. Dong, W. Zhang, G. Meng, A novel damage detection approach by using Volterra kernel functions based analysis. Journal of the Franklin Institute, 2015, 352(8): 3098-3112.
[14] C. Cheng, Z. Peng, X. Dong, W. Zhang, G. Meng, Analysis of locally nonlinear two dimensional periodic structures using NOFRFs. Vibration Engineering and Technology of Machinery, 2015, 23: 811-823.
[15] C. Cheng, Z. Peng, W. Zhang, G. Meng, Wavelet basis expansion-based Volterra kernel function identification through multilevel excitations. Nonlinear Dynamics, 2014, 76(2): 985-999.
[16] C. Cheng, Z. Peng, X. Dong, W. Zhang, G. Meng, Locating nonlinear components in two dimensional periodic structures based on NOFRFs. International Journal of Nonlinear Mechanics, 2014, 67:198-208.
[17] C. Cheng, Z. Peng, W. Zhang, G. Meng, Wavelet basis expansion-based spatio-temporal Volterra kernels identification for nonlinear distributed parameter systems. Nonlinear Dynamics, 2014, 78(2): 1179-1192.

Reviewer of IEEE Transactions on Automatic Control and Automatica et al.