Journal papers

2023

  1. G. Niu*, B. Sen, B. Zhang, J.-C. Chiao, Particle Filter based Diagnosis and Prognosis for Human Hydration States, IEEE Sensors Letters, in press 2023
  2. G Niu*, E. Liu*, X. Wang*, and B. Zhang, A Hybrid Bearing Prognostic Method with Fault Diagnosis and Model Fusion, IEEE Transactions on Industrial Informatics, in press 2023.
  3. E. Liu*, G. Niu*, D. Lyu, T. Yang, B. Zhang, Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction with SFP Model IEEE Transactions on Instrumentation & Measurement, Vol. 72, Art no. 3522609, 2023, doi: 10.1109/TIM.2023.3284955
    TIM ALS-DEKF for SOC.pdf
  4. X. Han, Q. Zhai, N. Zhang, X. Zhang, L. He, M. Pan, B. Zhang, T. Liu, A real-time evaluation algorithm for noncontact heart rate variability monitoring, Vol. 23, No. 15, Sensors, 2023, doi. 10.3390/s23156681
  5. A. Li, B. Zhang, P. Ziehl, A transfer learning approach for acoustic emission zonal localization on steel plate-like structure using numerical simulation and unsupervised domain adaptation, Mechanical Systems and Signal Processing
  6. K. Zhou, C. Tang, Y. Chen, B. Zhang, W. Lu, A Generic Multi-Frequency Repetitive Control Scheme for Power Converters, IEEE Transactions on Industrial Electronics, 70(12), 12680-12688, 2023
  7. E. Liu*, X. Wang*, G. Niu*, D. Lyu, T. Yang, B. Zhang, Uncertainty Management in Lebesgue Sampling-based Li-ion Battery SFP Model for SOC Estimation and RDT Prediction, IEEE/ASME Transactions on Mechatronics, 28(2), 611-620, 2023
  8. X. Wang*, M. Imran, M. Ali, B. Zhang, Inter-digital Capacitor Sensor based Cable Health Monitoring, IEEE Transactions on Industrial Electronics, 70(7), 7301-7309, 2023
  9. G. Niu*, E. Liu*, X. Wang*, P. Ziehl, B. Zhang, Enhanced Discriminate Feature Learning Deep Residual CNN for Multi-task Bearing Fault Diagnosis with Information Fusion, IEEE Transactions on Industrial Informatics, 19(1), 762-770, 2023
  10. B. Wang, W. Chen, B. Zhang, P. Shi, H. Zhang, A nonlinear observer-based approach to robust cooperative tracking for heterogeneous spacecraft attitude control and formation applications, IEEE Transactions on Automatic Control, 68(1), 400-407, 2023

    2022
  11. Z. Kong, X. Jin, Z. Xu, and B. Zhang, Spatio-temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction based on Graph Neural Network, IEEE Transactions on Instrumentation & Measurement, vol. 71, Art no. 3515912, doi. 10.1109/TIM.2022.3184352
  12. X. Jin, H. Pan, C. Ying, Z. Kong, Z. Xu, B. Zhang, Condition Monitoring of Wind Turbine Generator Based on Transfer Learning and One-Class Classifier, IEEE Sensors Journal, 22(24), 24130-24139, 2022
  13. B. Wang*, Y. Liu, B. Zhang, Establishment and system stability analysis of high-speed train bearing system under variable speed conditions, International Journal of Mechanical System Dynamics, 2(4), 352-362, 2022
  14. D. Lyu, G. Niu, E. Liu*, B. Zhang, G. Chen, T. Yang, E. Zio, Time space modelling for fault diagnosis and prognosis with uncertainty management: a general theoretical formulation, Reliability Engineering and System Safety, vol. 226, 108686, 2022
  15. Y. Liu, B. Wang*, B. Zhang, S. Yang, Establishment of Dynamic Model for Axle Box Bearing of High-Speed Trains Under Variable Speed Conditions, Chinese Journal of Mechanical Engineering, 35, 47, 2022
  16. B. Wang*, Y. Liu, B. Zhang, Characteristics Analysis on Bearing Rotor System of High-Speed Train Under Variable Speed Conditions, Chinese Journal of Theoretical and Applied Mechatronics, 54(7), 1-14, 2022
  17. E. Liu*, X. Wang*, G. Niu*, D. Lyu, T. Yang, and B. Zhang, Lebesgue Sampling-based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction, IEEE Transactions on Industrial Electronics, 69(9), 9524-9534, 2022.
  18. G. Niu*, X. Wang*, E. Liu*, B. Zhang, Lebesgue Sampling based Deep Belief Network for Lithium-ion Battery Diagnosis and Prognosis, IEEE Transactions on Industrial Electronic, 69(8), 8481-8490, 2022.
  19. D. Lyu, G. Niu*, E. Liu*, T. Yang, G. Chen, and B. Zhang, Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis, IEEE Transactions on Industrial Electronics, 69(5), 5235-5246, 2022
  20. X. Wang*, E. Liu*, B. Zhang, Reflectometry based Cable Insulation Aging Diagnosis and Prognosis, IEEE Transactions on Industrial Electronics, 69(4), 448-4157, 2022.
  21. C. Xiao, M. Yu, H. Wang, B. Zhang, D. Wang, Prognosis of Electric Scooter with Intermittent Faults: Dual Degradation Processes Approach, IEEE Transactions on Vehicular Technology, 71(2), 1411-1425, Feb. 2022
  22. H. Zhang*, G. Niu*, Q. Miao, B. Zhang, Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-ion Batteries Diagnosis and Prognosis, IEEE Transactions on Industrial Electronics, 69(2), 1958-1967, 2022.
  23. K. Liu, L. Guo, H. Gao, Z. You, Y. Ye, B. Zhang, Machine Vision based Condition Monitoring and Fault Diagnosis of Machine Tools using Information from Machined Surface Texture: A Review, Mechanical Systems and Signal Processing, vol. 164, Feb. 2022

    2021
  24. B. Zhang, T. Liu, B. Zhang, M. Pecht, Recent Development of Unpowered Exoskeletons for Lower Extremity: A Survey, IEEE Access, 9, 2021, 138042-138056.
  25. Z. Yin, L. Wang, B. Zhang, L. Meng, and Y. Zhang, An Integrated DC Series Arc Fault Detection Method for Different Operating Conditions, IEEE Transactions on Industrial Electronics, 68(12), 2021, 12720-12729.
  26. C. Xiao, M. Yu, B. Zhang, H. Wang, C. Jiang, Discrete Component Prognosis for Hybrid Systems Under Intermittent Faults, IEEE Transactions on Automation Science and Engineering, 18(4), 2021, 1766 - 1777.
  27. J. Weddington, G. Niu, R. Chen, W. Yan, B. Zhang, Lithium-ion Battery Diagnostics and Prognostics Enhanced with Dempster-Shafer Decision Fusion, Neurocomputing, vol. 487, Oct. 2021, 440-453
  28. B. Wang, W. Chen, B. Zhang, Y. Zhao, P. Shi, Cooperative Control-based Task Assignments for Multi-agent Systems with Intermittent Communication, IEEE Transactions on Industrial Informatics, 17(1), 2021, 6697-6708.
  29. G. Niu*, X. Wang*, M. Golda, S. Mastro, B. Zhang, An Optimized Adaptive PReLU-DBN for Rolling Element Bearing Fault Diagnosis, Neurocomputing, vol.445, July 2021, 26-34.
  30. G. Zhao, Z. Wu, Y. Gao, G. Niu*, Z.-L. Wang, B. Zhang, Multi-layer Extreme Learning Machine-based Keystroke Dynamics Identification for Intelligent Keyboard, IEEE Sensor Journal, 21(2), 2324-2333, 2021
  31. H. Zhang*, E. Liu*, B. Zhang, and Q. Miao, RUL prediction and uncertainty management for multi-sensor system using an integrated data-level fusion and UPF approach, IEEE Transactions on Industrial Informatics, 17(7), 2021, 4693-4701
  32. B. Wang, W. Chen, J. Wang, B. Zhang, and P. Shi, Semi-global Tracking Cooperative Control for Multi-agent Systems with Input Saturation: A Multiple Saturation Levels Framework, IEEE Transactions on Automatic Control, 66(3), 2021, 1215-1222. Highly-cited paper
  33. M. Yu, C. Xiao, B. Zhang, Event-Triggered Discrete Component Prognosis of Hybrid Systems Using Degradation Model Selection, IEEE Transactions on Industrial Electronics, 68(11), 2021, 11470-11481
  34. Z. Liu*, K. Zhou, Y. Yang, J. Wang, B. Zhang, Frequency Adaptive Virtual Variable Sampling-based Selective Harmonic Repetitive Control of Power Inverters, IEEE Transactions on Industrial Electronics, 68(11), 2021, 11339-11347

    2020
  35. Y. Fan, J. Bai, X. Lei, Y. Zhang, B. Zhang, K. C. Li, G. Tan, Privacy Preserving Based Logistic Regression on Big Data, Journal of Network and Computer Applications, Vol. 171, Dec. 2020
  36. X. Jin, Y. Jin, B. Zhang, Industrial Big Data-Driven Fault Prognostics and Health Management, Computer Integrated Manufacturing Systems, 2020 (C)
  37. Y. Fan, G. Zhao, K.-C. Li, B. Zhang, G. Tan, X. Sun, F. Xia, SNPL: One Scheme of Securing Nodes in IoT Perception Layer, Sensors, 2020
  38. B. Zhang, P. Zhang, T. Vu, M.-Y. Chow, Guest Editorial: Special Section on Resilience, Reliability, and Security in Cyber-Physical Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Informatics, 16(7), 2020, 4865-4867.
  39. D. Lyu, G. Niu*, B. Zhang, C. Chen, and T. Yang, Lebesgue-Time-Space-Model based Diagnosis and Prognosis for Multiple Mode Systems, IEEE Transactions on Industrial Electronics, 68(2), 1591-1603, 2020.
  40. B. Wang, B. Zhang, R. Su, Optimal Tracking Cooperative Control for Cyber-Physical Systems: Dynamic Fault Tolerant Control and Resilient Management, IEEE Transactions on Industrial Informatics, 17(1), 158-167, 2020.
  41. T. Vu, B. Nguyen, Z. Cheng, M.-Y. Chow and B. Zhang, Cyber-Physical Microgrids: Toward Future Resilient Communities, IEEE Industrial Electronics Magazine, 14(3), 4-17, 2020. Best Paper Award of 2021
  42. X. Li, J. Wang, and B. Zhang, Fault diagnosis of rolling element bearing weak fault based on sparse decomposition and broad learning network, Transactions of the Institute of Measurement and Control, 42(2), 169-179, Jan, 2020
  43. S. Guo*, B. Zhang, T. Yang, D. Lyu, and W. Gao, Multi-task convolutional neural network and information fusion for fault diagnosis and localization, IEEE Transactions on Industrial Electronics, 67(9), 2020, 8005-8015.

    2019
  44. C. Lyu, Y. Song, L. Wang, J. Li, B. Zhang, and E. Liu*, A new method for lithium-ion battery uniformity sorting based on internal criteria, vol. 25, Oct. 2019, Journal of Energy Storage, 100885.
  45. A. Yang, B. Zhang, D. Wang, F. Yang; K. L. Tsui and Y. Wang, A Comprehensive Investigation of Lithium-ion Battery Degradation Performance at Different Discharge Rates, Journal of Power Sources, vol. 443, Dec. 2019, 227108,
  46. B. Wang, W. Chen, B. Zhang, and Y. Zhao, Regulation cooperative control for heterogeneous uncertain chaotic systems with time delay: a synchronization errors estimation framework, Automatica, 108, Oct. 2019
  47. C. Gao, L. Wang, J. Mao, S. Hu, B. Zhang, S. Yang, Non-intrusive Cable Fault Diagnosis Based on Inductive Directional Coupling, IEEE Transactions on Power Delivery, 34(4), Aug. 2019, 1684-1694.
  48. B. Wang, W. Chen, B. Zhang, Semi-global Robust Tracking Consensus for Multi-agent Uncertain Systems with Input Saturation via Metamorphic Low-gain Feedback, Automatica, 103, May 2019, 363-373
  49. G. Zhao*, J. Yang, J. Chen, G. Zhu, Z. Jiang, X. Liu, G. Niu*, Z. Wang, B. Zhang, Keystroke dynamics identification based on triboelectric nanogenerator for intelligent keyboard using deep learning method, Advanced Materials Technologies, 4(1), Jan. 2019 https://onlinelibrary.wiley.com/doi/10.1002/admt.201800167
  50. Z. Liu*, B. Zhang, K. Zhou, Y. Yang, J. Wang, Virtual Variable Sampling Repetitive Control of Single-phase DC/AC PWM Converters, IEEE Journal of Emerging and Selected Topics in Power Electronics, 7(3), Sept. 2019, 1837-1845, doi: 10.1109/JESTPE.2018.2862411.
  51. B. Wang, W. Chen, J. Wang, B. Zhang, Z. Zhang, and X. Qiu, Cooperative Tracking Control of Multi-agent Systems: A Heterogeneous Coupling Network and Intermittent Communication Framework, IEEE Transactions on Cybernetics, 49(13), Dec. 2019, 4308-4320, doi: 10.1109/TCYB.2018.2859345
  52. W. Yan*, B. Zhang, G. Zhao*, S. Tang*, G. Niu*, and X. Wang, A Battery Management System with Lebesgue Sampling-Based Extended Kalman Filter, IEEE Transactions on Industrial Electronics, 66(4), 2019, 3227-3236, doi: 10.1109/TIE.2018.2842782.
  53. S. Hu, L. Wang, J. Mao, C. Gao, B. Zhang, S. Yang, Synchronous Online Diagnosis of Multiple Cable Intermittent Faults Based on Chaotic Spread Spectrum Sequence, IEEE Transactions on Industrial Electronics, 66(4), Apr. 2019, 3217-3226, doi: 10.1109/TIE.2018.2842737.

    2018
  54. S. Hu, L. Wang, C. Gao, B. Zhang, Z. Liu*, S. Yang, Non-intrusive Cable Fault Diagnosis Based on Inductive Directional Coupling, Sensors, 18(11), 2018, doi: 10.3390/s18113724.
  55. G. Zhao*, X. Liu, B. Zhang, Y. Liu, G. Niu*, C. Hu, A novel approach for analog circuit fault diagnosis based on deep belief network, Measurement, 121, June 2018, p. 170-178.
  56. B. Wang, W. Chen, B. Zhang, J. Wang, Z. Zhang, Accurate cooperative control for multiple leaders multi-agent uncertain systems: a two-layer node-to-node communication framework, IEEE Transactions on Industrial Informatics, 14(6), 2018, 2395-2405.
  57. Z. Liu*, B. Zhang, and K. Zhou*, Virtual variable sampling discrete Fourier transform based selective odd order harmonic repetitive control of DC/AC converters, IEEE transactions on Power Electronics, 33(7), 2018, 6444-6452.  
  58. B. Zhang, L. Tang, M. Roemer, Probabilistic Planning and Risk Evaluation Based on Ensemble Weather Forecasting, IEEE Transactions on Automation Science and Engineering, 15(2), (2018), 556-566. doi: 10.1109/TASE.2017.2648743.
  59. B. Wang, J. Wang, B. Zhang, W. Chen, and Z. Zhang, Leader-follower Consensus of Multi-vehicle Wirelessly Networked Uncertain Systems Subject to Nonlinear Dynamics and Actuator Fault, IEEE Transactions on Automation Science and Engineering, 15(2), (2018), 492-505.  doi: 10.1109/TASE.2016.2635979

    2017
  60. Y. Ye, Y. Wu, G. Xu, and B. Zhang, Cyclic Repetitive Control of CVCF PWM DC-AC Converters, IEEE Transactions on Industrial Electronics, 64(12), (2017), 9399-9409. doi: 10.1109/TIE.2017.2711542
  61. W. Yan*, B. Zhang, G. Zhao*, J. Weddington*, G. Niu*, Uncertainty Management in Lebesgue Sampling-based Diagnosis and Prognosis for Lithium-ion Battery, IEEE Transactions on Industrial Electronics, 64(10), (2017), 8158-8166. doi: 10.1109/TIE.2017.2701790
  62. Z. Liu*, B. Zhang, and K. Zhou*, Universal Fractional-order Design of Linear Phase Lead Compensation Multirate Repetitive Control for PWM Inverters, IEEE Transactions on Industrial Electronics, 64(9), (2017), 7132-7140. doi: 10.1109/TIE.2017.2686348
  63. W. Yan*, B. Zhang, W. Dou, D. Liu, Y. Peng, Low-Cost Adaptive Lebesgue Sampling Particle Filtering Approach for Real-Time Li-Ion Battery Diagnosis and Prognosis, IEEE Transactions on Automation Science and Engineering, 14(4), 2017, 1601-1611.
  64. B. Wang, J. Wang, B. Zhang, and X. Li, Global cooperative control framework for multi-agent systems subject to actuator saturation with industrial applications, IEEE Transactions on Systems Man Cybernetics, Systems, 47(7) (2017), 1270-1283.
  65. B. Wang, J. Wang, L. Zhang, B. Zhang, and X. Li, Cooperative Control of Heterogeneous Uncertain Dynamical Networks: An Adaptive Explicit Synchronization Framework, IEEE Transactions on Cybernetics, 47(6), (2017), 1484-1495. doi: 10.1109/TCYB.2016.2549556

    2016
  66. S. Wang, D. Liu, J. Zhou, B. Zhang, Y. Peng, A Run-time Dynamic Reconfigurable Computing System for Lithium-ion Battery RUL Prediction, Energies, Vol. 9, 572, (2016), doi: 10.3390/en9080572.
  67. B. Wang, J. Wang, B. Zhang, H. Lin, X. Li, and H. Wang, Leader-Follower Consensus for Multi-Agent Systems with Three-Layer Network Framework and Dynamics Interaction Jointly Connected Topology, Neurocomputing, Vol. 207, (2016), 231-239.
  68. B. Wang, J. Wang, L. Zhang, B.  Zhang, Explicit synchronization of heterogeneous dynamical networks via three-layer communication framework, International Journal of Control, Vol. 89, No. 6, (2016), 1269-1284, doi: 10.1080/00207179.2015.1126765
  69. X. Wang, B. Zhang, Lebesgue-Sampled Model for Continuous-Time Nonlinear Dynamic Systems, Automatica, vol. 64, (2016), 234-239.
  70. W. Yan*, B. Zhang, X. Wang, W. Dou, J. Wang, Lebesgue Sampling-based Diagnosis and Prognosis with Application to Li-ion Batteries, IEEE Transactions on Industrial Electronics, Vol. 63, No. 3, (2016), 1804-1812, doi: 10.1109/TIE.2015.2494529
  71. B. Wang, J. Wang, L. Zhang, B. Zhang, Robust Adaptive Consensus Tracking for Higher-Order Multi-Agent Uncertain Systems with Nonlinear Dynamics via Distributed Intermittent Communication Protocol, International Journal of Adaptive Control and Signal Processing,  Vol. 30, No. 3, (2016), 511-533, doi: 10.1002/acs.2595

    2015
  72. G. Zhao, J. Wang, and B. Zhang, Stability Analysis of Periodic Triggering Reset Control Systems, International Journal of Control, Automation and Systems, Vol. 13, No. 4 (2015), 788-797. 
  73. B. Zhang, L. Tang, J. DeCastro, M. Roemer, K. Goebel, A Recursive Receding Horizon Planning for Unmanned Vehicles, IEEE Transactions on Industrial Electronics, Vol. 62, No. 5, (2015), 2912-2920.
  74. Y. Yang, K. Zhou, H. Wang, F. Blaabjerg, D. Wang, B. Zhang, Frequency Adaptive Selective Harmonic Control for Grid-Connected Inverters, IEEE Transactions on Power Electronics, Vol. 30, No. 7, (2015), p3912-3924.

    2014
  75. B. Zhang, L. Tang, J. DeCastro, M. Roemer, K. Goebel, Autonomous Vehicle Battery State-of-Charge Prognostics Enhanced Mission Planning, International Journal of Prognostics and Health Management, Vol. 5, No.2, 2014.
  76. B. Zhang, M. Orchard, B. Saha, A. Saxena, Y.- J. Lee, G. Vachtsevanos, A Verification Framework with Application to a Propulsion System, Expert Systems with Applications, Vol. 41, 2014, p5669-5679.
  77. B. Zhang, Y. Ye, K. Zhou, D. Wang, Case Studies of Filtering Techniques in Multirate Iterative Learning Control, Control Engineering Practice, Vol. 26, 2014, p116-124.
  78. B. Zhang, K. Zhou, D. Wang, Multirate Repetitive Control for PWM DC/AC Converters, IEEE Transactions on Industrial Electronics, Vol. 61, No. 6. 2014, p2883 – 2890.
  79. B. Zhang, L. Tang, M. Roemer, Probabilistic Weather Forecasting Analysis for Unmanned Aerial Vehicle Path Planning, Journal of Guidance, Control, and Dynamics, vol. 37, No. 1, 2014, p309-312.

    2013
  80. M. Orchard, P. Hevia-Koch, B. Zhang, L. Tang, Risk Measures for Particle-filtering-based State-of-Charge Prognosis in Lithium-Ion Batteries, IEEE Transactions on Industrial Electronics, Vol. 60, No. 11, Nov. 2013, p5260-5269. 
  81. Y. Yang, K. Zhou, M. Cheng, B. Zhang, Phase Compensation Multi-Resonant Control of CVCF PWM Converters, IEEE Transactions on Power Electronics, Vol. 28, No. 8, Aug. 2013, p3923-3930.

    Before 2013
  82. J. Jiang, B. Zhang, A Rolling-Element Bearing Vibration Modeling with Applications to Health Monitoring, Journal of Vibration and Control, Vol.18, No.12,  Oct. 2012, p1768-1776.
  83. C. Chen, D. Brown, C. Sconyers, B. Zhang, G. Vachtsevanos, M. Orchard, An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems, Expert Systems with Applications, Vol. 39, 2012, p9031-9040.
  84. C. Chen, B. Zhang, G. Vachtsevanos, Prediction of Machine Health Condition using Neuro-Fuzzy and Bayesian Algorithms, IEEE Transactions on Instrumentation & Measurement, Vol. 61, No.2, Feb. 2012, p297-306.
  85. C. Chen, B. Zhang, G. Vachtsevanos, M. Orchard, Machine Condition Prediction based on Adaptive Neuro-Fuzzy and High-Order Particle Filtering,  IEEE Transactions on Industrial Electronics, Vol. 58, No.9, Sept. 2011, p4353-4364.
  86. B. Zhang, C. Sconyers, C. Byington, R. Patrick,  M. Orchard, G. Vachtsevanos, A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection, IEEE Transactions on Industrial Electronics, Vol. 58, No. 5, May 2011, p 2011-2018. Highly-cited paper
  87. B. Zhang, K. Zhou, Y. Wang, D. Wang, Performance Improvement of Repetitive Controlled PWM Inverters: A Phase-Lead Comprehensive Solution, International Journal of Circuit Theory and Applications, Vol. 38, No. 5, June 2010, p 453 - 469.
  88. B. Zhang, D. Wang, and Y. Ye, On Learning Transient, Auto-Tunings of Learnable Bandwidth and Lead Step in Iterative Learning Control, International Journal of System Science, Vol. 41, No. 4, April 2010, p 353 - 363.
  89. B. Zhang, D. Wang, Y. Ye, K. Zhou, Y. Wang, Stability and Robustness Analysis of Cyclic Pseudo-Downsampled Iterative Learning Control, International Journal of Control, Vol. 83, No. 3, March 2010, p 651 - 659.
  90. B. Zhang, T. Khawaja, R. Patrick, G. Vachtsevanos, A Novel Blind Deconvolution De-Noise Scheme in Failure Prognosis, Transactions of the Institute of Measurement & Control, Vol. 32, No. 1, 2010, p 3-30. Also appears at: Applications of Intelligent Control to Engineering Systems, Ed. K. Valavanis, Springer, 2009.
  91. B. Zhang, D. Wang, Y. Ye, K. Zhou, Y. Wang, Cyclic pseudo-downsampled iterative learning control for high performance tracking, Control Engineering Practice, vol. 17, 2009, p 957-965.
  92. B. Zhang, D. Wang, Y. Ye, Cutoff-Frequency Phase-In Iterative Learning Control, IEEE Transactions on Control Systems Technology, Vo. 17, No. 3, 2009, p 681-687.
  93. B. Zhang, T. Khawaja, R. Patrick, G. Vachtsevanos, M. Orchard, A. Saxena, Application of Blind Deconvolution De-Noising in Failure Prognosis, IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 2, 2009, p 303-310.
  94. Y. Ye, D. Wang, B. Zhang, and Y. Wang, Simple LMI Based Learning Control Design, Asian Journal of Control, Vol. 11, No. 1, 2009, p 74-77.
  95. B. Zhang, T. Khawaja, R. Patrick, G. Vachtsevanos, Blind Deconvolution De-noising for Helicopter Vibration signals, IEEE/ASME Transactions on Mechatronics, Vol. 13, No. 5, 2008, p 558-565.
  96. K. Zhou, D. Wang, B. Zhang, Y. Wang, Plug-in Dual Mode Structure Repetitive Controller for CVCF PWM Inverters, IEEE Transactions on Industrial Electronics, Vol. 56, No. 3, 2009, p 784-791.
  97. X. Fang, J. Wang, B. Zhang, Takagi-Sugeno Model-Based Non-Fragile Guaranteed Cost Control for Uncertain Discrete-Time Systems with State Delay, International Journal of Fuzzy Logic and Intelligent Systems, Vol.8, No. 2, June 2008, p 151-157.
  98. B. Zhang, D. Wang, Y. Ye, Y. Wang, K. Zhou, Pseudo-Downsampled Iterative Learning Control, International Journal of Robust and Nonlinear Control, Vol. 18, No. 10, July 2008, p 1072-1088.
  99. B. Zhang, D. Wang, K. Zhou, Y. Wang, Linear Phase Compensation Repetitive Control of a CVCF PWM Inverters, IEEE Transactions on Industrial Electronics, Vol. 55, No. 4, Apr. 2008, p 1595-1602. 
  100. B. Zhang, J. Wang, Fuzzy Logic Modeling and Its Application to a Walking-Beam Reheating Furnace, International Journal of Fuzzy Logic and Intelligent Systems, Vol. 7, No. 4, 2007, p182-187.
  101. B. Zhang, D. Wang, Y. Ye, Y. Wang, Two-Mode ILC with Pseudo-Downsampled Learning in High Frequency Range, International Journal of Control, Vol. 80, No. 3, 2007, p 349-362.
  102. K. Zhou, D. Wang, B. Zhang, Y. Wang, J. A. Ferreira, S. W. H. de Haan, Dual-Mode Structure Digital Repetitive Control, Automatica, Vol. 43, 2007, p 546-554.
  103. Y. Ye, B. Zhang, K. Zhou, D. Wang, Y. Wang, High-Performance Cascade-Type Repetitive Controller for CVCF PWM Inverter: Analysis and Design, IET Electric Power Applications, Vol. 1, No. 1, 2007, p 112-118.
  104. Y. Ye, K. Zhou, B. Zhang, D. Wang, J. Wang, High-Performance RC of PWM DC-AC Converters with Real-Time Phase-Lead FIR Filter, IEEE Transactions on Circuits and Systems: II, Vol. 53, No. 8, 2006, p 768-772.
  105. K. Zhou, K. Low, D. Wang, F. Luo, B. Zhang, Y. Wang, Zero-Phase Odd-Harmonic Repetitive Controller for a Single-Phase PWM Inverter, IEEE Transactions on Power Electronics, Vol. 21, No. 1, 2006, p 193- 201.
  106. B. Zhang, D. Wang, Y. Ye, Wavelet Transform Based Frequency Tuning ILC, IEEE Transactions on Systems, Man & Cybernetics, Part B, Vol. 35, No. 1, 2005, p107-114.