Publications

2025

Journal Articles

• H. Wang, A. Wijesekera, G.J. Kish and Q. Zhao, “Detecting and Localizing Open-circuit Switch Faults in MMCs Using a Model Informed Estimation Scheme with Low Computational Complexity,” IEEE Transactions on Power Electronics, vol. 40, no. 3, pp. 4399-4410, March 2025.

• M. H. Arshad, H. Wang, J. Yao and Qing Zhao, "Intelligent Rotor Imbalance Fault Classification through Feature Fusion by Leveraging Deep CNN with LightGBM," Engineering Applications of Artificial Intelligence, accepted, May 2025.

2024

Journal Articles

• M.M. Raja, H. Wang, M.H. Arshad, G.J. Kish and Q. Zhao, “Computationally Efficient Data-Driven Model Predictive Control for Modular Multilevel Converters,” IET Electric Power Applications, pp. 1-16, 2024.

• M. Macktoobian, Z. Shu, Q. Zhao,“Traffic divergency: A formalism for network traffic dynamics analysis,” IEEE Access, Vol. 12, pp. 67512-67524, Apr. 2024.

• M. H. Arshad, A. El-Sayed, A. Salem, Q. Zhao and M, A. Abido, ”Implications of the Sensorless Predictive Control for Line-Start Permanent Magnet Synchronous Machine,” IEEE Trans. Autom. Sci. and Eng., 21(3): 4203-4213, July 2024.

• Z. Lv, Q. Zhao, X. Sun, Y. Wu, "Finite-time control design for a coaxial tilt-rotor UAV, " IEEE Trans. on Industrial Electronics, 1–11, May 2024.

• M. Macktoobian, Z. Shu, Q. Zhao, "Traffic divergence theory: an analysis formalism for dynamic networks," IEEE Access, 12, 1–11, Apr. 2024.

• A. Moeini, A. Lynch, Q. Zhao, "Visual-inertial-actuator odometry for multirotor UAVs with rotor drag and external disturbance," International Journal of Dynamics and Control, Springer Science and Business, Media LLC, Feb. 2024.

• Y. Feng, J. Chen, Z. Xie, J. Xie, T. Pan, C. Li, Q. Zhao, "Integrating misidentification and OOD detection for reliable fault diagnosis of high-speed train bogie," IEEE Transactions on Intelligent Transportation Systems, 1–11, Apr. 2024.

Conference and Presentation

• H. Wang, D. Bowman, M. Schmidtke, G.J. Kish and Q. Zhao, “Real-time Simulation Study of Switch Open-Circuit Fault Detection and Localization Scheme for MMCs with High Submodule Count,” in Proc. IEEE Energy Conversion Congress and Exposition (ECCE), Phoenix, Arizona, USA, October 2024

• J. Yao and Q. Zhao, "Sequential domain-adaptation extreme learning machine (ELM) combined with principle component analysis (PCA) for process fault diagnosis," 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Kingston, Ontario, Canada, Aug. 6-9, 2024.

2023

Journal Articles

• H. Wang, Y. Li, A. Wijesekera, G. Kish and Q. Zhao, ”Switch open-circuit fault detection and localization for modular multilevel converters based on signal synthesis,” IEEE J. on Emerging and Selected Topics on Power Electronics, 11(5):5391-5404, Aug. 2023.

• M. Macktoobian, Z. Shu, Q. Zhao,“Topology recoverability prediction for ad-hoc robot networks: a data-driven fault-tolerant approach,” IEEE Trans. on Signal and Information Processing over Networks, 9: 786-799, Oct. 2023.

• M. Macktoobian, Z. Shu and Q. Zhao, “Learning optimal topology for ad-hoc robot networks”, IEEE Trans. on Robotics and Automation Letters (RA-L), 8(4): 2181 - 2188, Apr. 2023.

• M. M. Raja, H. Wang, M. H. Arshad, G. Kish and Q. Zhao, ”Data driven model predictive control for modular multilevel converters with reduced computational complexity,” IEEE Access, Apr. 2023, pp. 42113-42123.

• L. Yang and Q. Zhao, "Combined dual-prediction based data fusion and enhance leak detection and isolation method for WSN pipeline monitoring system," IEEE Trans. Autom. Sci. and Eng., 20(1): 571-582, Jan. 2023.

Conference and Presentation

• L. Yang and Q. Zhao, Z. Shu, ”A BiLSTM combining WRELM-based method for online TCP state prediction,” 2023 IFAC World Congress, Yokohama, Japan, July 9-15, 2023.

• M. M. Raja, M. H. Arshad, Q. Zhao, ”Linear Quadratic Gaussian Control for UAVs With Improved State Estimation Against Gyroscope and Accelerometer Biases ”, 2023 IFAC World Congress, Yokohama, Japan, July 9-15, 2023.

• M. H. Arshad, M. M. Raja, Q. Zhao, ”Neutral Point Voltage Balancing Using MOPSO based Weighting Factor Tuning for FCS-MPTC of Three Level T-Type VSI Fed IM Drive”, 2023 IFAC World Congress, Yokohama, Japan, July 9-15, 2023.

2022

Journal Articles

• B. Rashidi and Q. Zhao, "Output-related fault detection in non-stationary processes using constructive correlative-SAE and demoting correlative-DNN," Applied Soft Computing, 123 (2022) 108898, pp. 1-15.

• A. Moeini, A. F. Lynch and Q. Zhao, “A back-stepping disturbance observer control for multirotor UAVs: theory and experiment,” International Journal of Control, 95(9): 2364-2378, 2022.

• Z. Lv, Q. Zhao, S. Li, Y. Wu, “Finite-time control design for a quadrotor transporting a slung load,” Control Engineering Practice, Vol. 122, May 2022. 

• Z. Lv, Y. Wu, Q. Zhao and X. Sun, “Design and control of a novel coaxial tilt-rotor UAV,” IEEE Trans. Industrial Electronics, Vol. 69, Issue: 4, Apr. 2022.

• L. Yang and Q. Zhao, "Pipeline leak detection and disturbance assisted localization method based on BiLSTM," IEEE Sensor Journal, Vol. 22, No. 1, pp. 611-620, Jan. 2022.

• B. Yang, M. H. Arshad, Q. Zhao, “Packet-level and flow-level network intrusion detection based on reinforcement learning and adversarial training,” invited paper in the special issue: Machine Learning and Deep Learning Applications for Anomaly and Fault Detection, Algorithms, 2022, Volume 15, Issue 12, 453.

Conference and Presentation

• S. Dehghanbanadaki and Q. Zhao, “Fault detection of wind turbine system based on deep learning and system identification,” 2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP), Vancouver, BC, Canada, Aug. 7-9, 2022.

• L. Yang and Q. Zhao, "Combined dual-prediction based data fusion and enhance leak detection and isolation method for WSN pipeline monitoring system," 2022 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, Oct. 23-27, 2022. 

2020-2021

Journal Articles

• A. Moeini, A. F. Lynch and Q. Zhao, "Exponentially stable motion control for multirotor UAVs with rotor drag and disturbance compensation," International Journal of Intelligent and Robotic Systems, Vol. 103, 15(2021).

• K. Han, J. Feng and Q. Zhao, “Robust estimator-based dual-mode predictive fault tolerant control for constrained linear parameter varying systems”, IEEE Trans. Industrial Informatics, Vol. 17, No. 7, pp. 4469-4479, July 2021.

• K. Han, J. Feng and Q. Zhao, P. Jiang and X. Wang “Robust constrained predictive fault tolerant control with generalized input parameterization and event-triggered regulation: design and experimental results”, IEEE Trans. Industrial Electronics Vol. 68, No. 9, pp. 8615-8625, Sept. 2021

•  L. Yang and Q. Zhao, “A novel PPA method for pipeline leak detection based on OPELM and BiLSTM”, IEEE Access, Vol. 8, pp. 107185-107199, June 2020, 10.1109/ACCESS.2020.3000960.

• B. Rashidi and Q. Zhao, “Autonomous root-cause fault diagnosis Using symbolic dynamic based causality analysis”, Neurocomputing, Vol. 401, pp. 10-27, Aug. 2020, https://doi.org/10.1016/j.neucom.2020.03.007.

• A. Moeini, A. F. Lynch and Q. Zhao, “Disturbance observer-based nonlinear control of a quadrotor UAV,” Advanced Control Applications, Wiley Journal, 2020; 2:e24. DOI: 10.1002/adc2.24.

• L. Yang, Q Zhao and Y. Jing, “Channel equalization and detection with ELM-based regressors for OFDM Systems,” IEEE Communication Letters, vol. 24, no. 1, pp. 86-89, Jan. 2020. DOI: 10.1109/LCOMM.2019.2951404.

• H. Tian, Y. Li, Q. Zhao, “Multi-rate harmonic compensation control for low switching frequency converters: scheme, modeling, and analysis”, IEEE Trans. Power Electronics, Issue 4, Vol. 25, pp. 4134-4156, Apr. 2020, DOI. 10.1109/TPEL.2019.2933770.

Book Chapter

• B. Rashidi and Q. Zhao, Fault Detection of Non-Stationary Processes Using A Modified PCA Approach, invited chapter in Nonstationary Systems: Theories and Applications, Ed. (F. Chaari, J. Leskow, R. Zimroz, A. Napolitano)- Book series: Applied Condition Monitoring, Springer, 2021.

Patent

• B. Rashidi, S. K. Meenakshi, and Q. Zhao, “Feature extraction and fault detection in a non-stationary process through unsupervised machine learning,” US Patent number 10928807, Granted, Feb. 23, 2021

Conference

• A. Moeini, M. Rafique, Z. Xue, A. Lynch, Q. Zhao, “Disturbance observer-based integral backstepping control for UAVs”, Int. Conf. on Unmanned Aircraft Systems (ICUAS’20), Athens, Greece, Sept. 1-4, 2020.