Xiaofeng Wang

Xiaofeng Wang

Associate Professor
Department of Electrical Engineering
University of South Carolina

Selected Publications

(A complete list of my publications can be found in my Google Scholar Profile)

Sampled-Data Estimation and Control

  • Y. Shen, Z. G. Wu, and X. Wang, Distributed Lebesgue approximation model for distributed continuous-time nonlinear systems. IEEE Transactions on Cybernetics, 2023. DOI: 10.1109/TCYB.2023.3262632
  • J. Tao, Z. Xiao, H. Rao, J. Wu, R. Lu, P. Shi, and X. Wang, Event-triggered and asynchronous reduced-order filtering codesign for fuzzy Markov jump systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 6, 3937-3946, 2022.
  • W. Yan, B. Zhang, G. Zhao, S. Tang, G. Niu, and X. Wang, A battery management system with a Lebesgue sampling-based extended Kalman filter. IEEE Transactions on Industrial Electronics, vol. 66, no. 4, 3227-3236, 2019.
  • X. Wang and B. Zhang, Lebesgue approximation model of continuous-time nonlinear dynamic systems. Automatica, vol. 64, 234-239, 2016.
  • X. Wang and M. Lemmon, Event-triggering in distributed networked control systems. IEEE Transactions on Automatic Control, vol. 56, no. 3, 586-601, 2011.
  • X. Wang and M. Lemmon, Self-triggered feedback control systems with finite-gain L2 stability. IEEE Transactions on Automatic Control, vol. 54, no. 3, 452-467, 2009.

Robust Adaptive Control

  • P. Zhao, Y. Mao, C. Tao, N. Hovakimyan, and X. Wang, adaptive robust quadratic programs using control Lyapunov and barrier functions. IEEE Conference on Decision and Control (CDC), 3353-3358, 2020.
  • X. Wang, N. Hovakimyan, and L. Sha, RSimplex: A robust control architecture against cyber and physical failures. ACM Transactions on Cyber-Physical Systems, vol. 2, no. 4, A27, 2018.
  • X. Wang, E. Kharisov, and N. Hovakimyan, Real-time L1 adaptive control for uncertain networked control systems. IEEE Transactions on Automatic Control, vol. 60, no. 9, 2500-2505, 2015.
  • X. Wang, N. Hovakimyan, and L. Sha, L1Simplex: Fault-tolerant control of cyber-physical systems. International Conference on Cyber-Physical Systems (ICCPS13), 2013.
  • X. Wang and N. Hovakimyan, L1 adaptive controller for nonlinear time-varying reference systems. System & Control Letters, vol. 61, 455-463, 2012.

Model Predictive Control

  • L. Yang, S. Dauchert, and X. Wang, Self-Triggered Predictive Control of Nonlinear Systems Using Approximation Model, International Journal of Robust and Nonlinear Control, vol. 32, no. 17, 9139-9159, 2022.
  • J. Tao, L. Yang, Z. G. Wu, X. Wang, and H. Su, Lebesgue-approximation model predictive control of nonlinear sampled-data systems. IEEE Transactions on Automatic Control, vol. 65, no. 10, 4047-4060, 2020.
  • X. Wang, L. Yang, Y. Sun, and K. Deng, Adaptive model predictive control of systems with state-dependent uncertainty. International Journal of Robust and Nonlinear Control, vol. 27, no. 17, 4138-4153, 2017.
  • X. Wang and L. Yang, Sporadic model predictive control using Lebesgue approximation. American Control Conference, 2017.

Multi-Agent Systems

  • Z. Zhou and X. Wang, Constrained consensus in continuous-time multi-agent systems under weighted graph. IEEE Transactions on Automatic Control, vol. 63, no. 6, 1776-1783, 2018.
  • X. Wang, E. Garcia, D. Kingston, and D. Casbeer, Consensus-based simultaneous arrival of multiple UAVs with constrained velocity. American Control Conference, 2015.
  • X. Wang and N. Hovakimyan, Distributed control of uncertain networked systems: A decoupled design. IEEE Transactions on Automatic Control, vol. 58, no.10, 2536-2549, 2013.

Deep Learning

  • R. Abdelfattah, X. Wang, and S. Wang, PLGAN: Generative adversarial networks for power-line segmentation in aerial images. IEEE Transactions on Image Processing, 2023. DOI: 10.1109/TIP.2023.3321465
  • R. Abdelfattah, Q. Guo, X. Li, X. Wang, and S. Wang, CDUL: CLIP-driven unsupervised learning for multi-label image classification. IEEE/CVF International Conference on Computer Vision (ICCV), 1348-1357, 2023.
  • X. Zhang, Y. Song, X. Wang, and F. Zuo, D-Score: A white-box diagnosis score for cnns based on mutation operators. The 19th International Conference on Advanced Data Mining and Applications (ADMA), 2023.
  • S. Han, Z. Meng, Z. Li, J. O’REILLY, J. Cai, X. Wang, and Y. Tong, Optimizing filter size in convolutional neural networks for facial action unit recognition. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018.