Profile image for Xianming Zhang

Dr Xianming Zhang

Associate Professor

Biography


Xian-Ming Zhang received the M.Sc. degree in applied mathematics and the Ph.D. degree in control theory and engineering from Central South University, Changsha, China, in 1992 and 2006, respectively. In 1992, he joined Central South University, where he was an Associate Professor with the School of Mathematics and Statistics. From 2007 to 2014, he was a Post-Doctoral Research Fellow and a Lecturer with the School of Engineering and Technology, Central Queensland University, Rockhampton, QLD, Australia. From 2014 to 2016, he was a Lecturer with the Griffith School of Engineering, Griffith University, Gold Coast, QLD, Australia. In 2016, he joined the Swinburne University of Technology, Melbourne, VIC, Australia, where he is currently an Associate Professor with the School of Software and Electrical Engineering.

Research Interests

  • Security control; Event-triggered control; Networked control systems; H∞ filtering and estimation; Robust control; Time-delay systems; Stochastic systems; Neural networks; Offshore structure control

Awards

  • 2020 Highly-cited researcher-Engineering, Computer Science
  • SUT Vice-Chancellor’s Awards 2020
  • 2020 Premium Award for Best Paper in IET Control Theory & Applications
  • 2020 IEEE Transactions on Industrial Informatics Outstanding Paper Award 
  • 2019 Highly-cited researcher-Engineering
  • 2019 IEEE SMC Best Transactions Paper Award
  • 2016 IET-CTA Premium Awards for the paper ‘Event-triggered dynamic output feedback control for networked control systems’.
  • National Natural Science Award in China (Second-class) in 2013.
  • Hunan Provincial Natural Science Award in Hunan Province of P.R. China (First-class) in 2011.
  • Excellent Doctoral Dissertation Award by Hunan Province of P.R. China in 2008.

Membership and Active Services

  • IEEE Senior Member
  • Invited Session Chair: 2018 Australia and New Zealand Control Conference (ANZCC2018), 7-8 December, Melbourne, Australia (https://anzcc.org.au/ANZCC2018/call.php),
  • Technical Track Chair: the 27th IEEE International Symposium on Industrial Electronics (IEEE-ISIE 2018), 13-15 June 2018, Cairns, Australia, (http://www.ieee-isie2018.org/topics.php),
  • Special Session Co-Chair: the 43rd Annual Conference of the IEEE Industrial Electronics Society (IEEE-IECON 2017), 29 October - 1 November 2017, Beijing, China, (http://iecon2017.csp.escience.cn/dct/page/70005).

Associate Editor of International Journals

  • IEEE Transactions on Cybernectics
  • Journal of the Franklin Institute
  • Neurocomputing
  • International Journal of Control Automation and Systems
  • Complexity
  • Electronics
  • Neural Processing Letters

Funding


  • 2019: Repetitive Control Systems in Networked Environments; ARC Discovery Projects Scheme
  • 2016: Event-triggered H∞ state estimation for networked systems, Griffith University
  • 2009: H∞ control and filtering for networked control systems, Central Queensland University

Books published


  • Bao-Lin Zhang • Qing-Long Han • Xian-Ming Zhang • Gong-You Tang,  Active Control of Offshore Steel Jacket Platforms, Spinger 2019

Summary of Publications

Since 2003, Dr. Xian-Ming Zhang has published more than one hundred (100) fully-referred journal articles and fully-referred conference papers, among which

  • Nine articles are published in the journal of “Automatica”, which is one of the two best journals in the field of control (one regular paper); and more than thirty articles are published in the most prestigious IEEE Transactions(seven regular papers);
  • According to ISI Web of Science (access date: 16 Feb 2021), these articles have been cited 6435 times with h-index of 40;
  • According to Google Scholar (access date: 16 Feb 2021), these articles have been cited 8300 times with h-index of 44.

List of Fully Refereed International Journal Articles


  1. X. Ge, Q.-L. Han, X.-M. Zhang, D. Ding (2021), Dynamic event-triggered control and estimation: A survey, International Journal of Automation and Computing, DOI: 10.1007/s11633-021-1306-z
  2. C. Deng, C. Wen, J. Huang, X.-M. Zhang and Y. Zou (2021), Distributed observer-based cooperative control approach for uncertain nonlinear MASs under event-triggered communication, IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2021.3090739, in press.
  3. L. Zhou, F. Jiang, J. She, X.-M. Zhang (2021), Robust repetitive control for a class of uncertain nonlinear systems, International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.5691, in press
  4. D. Ding, Z. Wang, Q.-L. Han, X.-M. Zhang (2021), Recursive secure filtering over Gilbert-Elliott channels in sensor networks: The distributed case, IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 75-86
  5. Z. Pang, C. Bai, G. Liu, Q.-L. Han, X.-M. Zhang (2021), A novel networked predictive control method for systems with random communication constraints, vol. 34, pp. 1364-1378, Aug. 2021 
  6. X. Ge, I. Ahmad, Q.-L. Han, J. Wang, X.-M. Zhang (2021), Dynamic event-triggered scheduling and control for vehicle active suspension over controller area network, Mechanical Systems and Signal Processing, vol. 152, article no.107481
  7. X. Wang, D. Ding, H. Dong and X.-M. Zhang (2021), Neural-network-based control for discrete-time nonlinear systems with input saturation under stochastic communication protocol, IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 4, pp. 766-778, April 2021, doi: 10.1109/JAS.2021.1003922.
  8. X.-M. Zhang, Q.-L. Han, X. Ge (2021), Sufficient conditions for a class of matrix-valued polynomial inequalities on closed intervals and application to H∞ filtering for linear systems with time-varying delays, Automatica, vol. 125, article no. 109390
  9. X.-M. Zhang, Q.-L. Han, X. Ge (2021), Novel stability criteria for linear time-delay systems using Lyapunov-Krasovskii functionals with a cubic polynomial on time-varying delay, IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 1, pp. 77-85
  10. Y. Yang, X.-M. Zhang, W. He, Q.-L. Han, C. Peng (2021). Position-based synchronization of networked harmonic oscillators with asynchronous sampling and communication delays, IEEE Transactions on Cybernetics, vol. 51, no. 8, pp. 4337-4347, Aug. 2021.
  11. L. Zhou, J. She, X.-M. Zhang, Z. Zhang (2020), Additive-state-decomposition based repetitive-control framework for a class of nonlinear systems with multiple mismatched disturbances, IEEE Transactions on Industrial Electronics, 10.1109/TIE.2020.3039221, in press
  12. A. Kazemy, J. Lam and X.-M. Zhang (2020), Event-triggered output feedback synchronization of master-slave neural networks under deception attacks,  IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2020.3030638, in press.
  13. M. Zhao, P. Chen, Q.-L. Han, X.-M. Zhang (2020), Cluster consensus of multiagent systems with weighted antagonistic interactions, IEEE Transactions on Cybernetics, in press, DOI: 10.1109/TCYB.2020.2966083
  14. J. Chen, X.-M. Zhang, J. H. Park, S. Xu (2020), Improved stability criteria for delayed neural networks using a quadratic function negative-definiteness approach, IEEE transactions on neural networks and learning systems, DOI: 10.1109/TNNLS.2020.3042307
  15. C. Lu, X.-M. Zhang, M. Wu, Q.-L. Han, Y. He (2020), Receding horizon synchronization of delayed neural networks using a novel inequality on quadratic polynomial functions, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2019.2957810
  16. X. Ge, Q.-L. Han, L. Ding, Y.-L. Wang, and X.-M. Zhang (2020), Dynamic event-triggered distributed coordination control and its applications: A survey of trends and techniques, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50 (9), 3112-3125
  17. J. Chen, J. Park, S. Xu, X.-M. Zhang (2020). Stability of discrete‐time systems with time‐varying delay via a novel Lyapunov‐Krasovskii functional, International Journal of Robust and Nonlinear Control, 30 (12), 4779-4788
  18. B.-L. Zhang, C. Lu, K. Pan, X.-M. Zhang (2020), Reducing conservatism of stability criteria for linear systems with time-varying delay using an improved triple-integral inequality, Applied Mathematics and Computation, vol. 380, Article No. 125254
  19. X. Ge, Q.-L. Han, X.-M. Zhang, D. Ding, F. Yang (2020), Resilient and secure remote monitoring for a class of cyber-physical systems against attacks, Information Sciences 512, 1592-1605
  20. X. Ge, Q.-L. Han, X.-M. Zhang, L. Ding, and F. Yang (2020). Distributed event-triggered estimation over sensor networks: A survey,  IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1306-1320, 2020
  21. X.-M. Zhang, Q.-L. Han, X. Ge, L. Ding (2020), Resilient control design based on a sampled-data model for a class of networked control systems under denial-of-service attacks, IEEE Transactions on Cybernetics, 50 (8), 3616-3626
  22. Y. Yang, X.-M. Zhang, W. He, Q.-L. Han, C. Peng (2020). Sampled-position states based consensus of networked multi-agent systems with second-order dynamics subject to communication delays, Information Sciences 509, 36-46.
  23. X.-M. Zhang, Q.-L. Han, X. Ge, D. Ding, L. Ding, D. Yue, and C. Peng (2020). Networked control systems: A survey of trends and techniques, IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 1, pp:1-17, Jan 2020. 
  24. X.-M. Zhang, Q.-L. Han, X. Ge, B.-L. Zhang (2020). Passivity analysis of delayed neural networks based on Lyapunov-Krasovskii functionals with delay-dependent matrices,  IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 946-956, Mar. 2020
  25. D. Zhang, Q.-L. Han, X.-M. Zhang (2020). Network-based modeling and proportional-integral control for direct-drive-wheel systems in wireless network environments, IEEE Transactions on Cybernetics, vol. 50, 6, pp. 2462-2474
  26. L. Zhou, J. She, X.-M. Zhang, Z. Cao, Z. Zhang (2020). Performance enhancement of repetitive-control systems and application to tracking control of chuck-workpiece systems, IEEE Transactions on Industrial Electronics, vol. 67, no. 5. pp. 4056-4065, May 2020.
  27. L. Zhou, J. She, X.-M. Zhang, Z. Zhang (2020), Improving disturbance-rejection performance in a modified repetitive-control system based on equivalent-input-disturbance approach, International Journal of Systems Science, vol. 51, no. 1, pp. 49-60, Jan 2020.
  28. X. Ge, Q.-L. Han, M. Zhong, and X.-M. Zhang (2019). Distributed Krein space-based attack detection over sensor networks under deception attacks, Automatica,109, Article 108557
  29. L. Ding, Q.-L. Han, X.-M. Zhang (2019). Distributed secondary control for active power sharing and frequency regulation in islanded microgrids using an event-triggered communication mechanism, IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 3910-3922. 
  30. X.-M. Zhang, Q.-L. Han, A. Seuret, F. Gouaisbaut, Y. He (2019). Overview of recent advances in stability of linear systems with time-varying delays, IET Control Theory and Applications, vol. 13, no. 1, pp. 1-16. 
  31. X.-M. Zhang, Q.-L. Han, X. Ge (2019). An overview of neuronal state estimation of neural networks with time-varying delays, Information Sciences vol. 478, pp. 83-99.
  32.  X.-M. Zhang, Q.-L. Han, X. Ge, D. Ding (2018). An overview of recent developments in Lyapunov-Krasovskii functionals and stability criteria for recurrent neural networks with time-varying delays, Neurocomputing, vol. 313, pp. 392-401.
  33. J. Wang, X.-M. Zhang, Y. Lin, X. Ge. Q.-L. Han (2018). Event-triggered dissipative control for networked stochastic systems under non-uniform sampling, Information Sciences, vol. 447, pp. 216-228.
  34. C. Lu, X.-M. Zhang, M. Wu, Q.-L. Han, Y. He (2018). Energy-to-peak state estimation for static neural networks with interval time-varying delays, IEEE Transactions on Cybernetics, vol. 48, no. 10, pp. 2823-2835. 
  35. Z. Zuo, Q.-L. Han, B. Ning, X. Ge, X.-M. Zhang (2018). An overview of recent advances in fixed-time cooperative control of multi-agent systems, IEEE Transactions on Industrial Informatics, vol. 14, no. 6, pp. 2322-2334. 
  36. X.-M. Zhang, Q.-L. Han, J. Wang (2018). Admissible delay upper bounds for global asymptotic stability of neural networks with time-varying delays. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 11, pp. 5319-5329.
  37. X. Ge, Q.-L. Han, and X.-M. Zhang (2018). Achieving cluster formation of multi-agent systems under aperiodic sampling and communication delays, IEEE Transactions on Industrial Electronics, vol. 65, no. 4, pp. 3417-3426.
  38. X. Ge, Q.-L. Han, D Ding, X.-M. Zhang, B. Ning (2018). A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems, Neurocomputing, vol. 275, pp. 1684-1701.
  39. D. Ding, Q.-L. Han, Y. Xiang, X. Ge, and X.-M. Zhang (2018). A survey on security control and attack detection for industrial cyber-physical systems, Neurocomputing, vol. 275, pp. 1674-1683.
  40. L. Ding, Q.-L. Han, and X.-M. Zhang (2018). An overview of recent advances in event-triggered consensus of multi-agent systems, IEEE Transactions on Cybernetics, vol. 48, no. 4, pp. 1110-1123.
  41. X.-M. Zhang, Q.-L. Han, Z. Zeng (2018). Hierarchical type stability criteria for delayed neural networks via canonical Bessel-Legendre inequalities, IEEE Transactions on Cybernetics, vol. 48, no. 5. pp. 1660-1671.
  42. X.-M. Zhang, W.-J. Lin, Q.-L. Han, Y. He, and M. Wu (2018). Global asymptotic stability for delayed neural networks using an integral inequality based on non-orthogonal polynomials, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4487-4493.
  43. X.-M. Zhang, Q.-L. Han, X. Ge (2018). A novel finite-sum inequality-based method for robust H-infinity control of uncertain discrete-time Takagi-Sugeno fuzzy systems with interval-like time-varying delays, IEEE Transactions on Cybernetics, vol. 48, no. 9, pp. 2823-2835.
  44. X.-M. Zhang, Q.-L. Han (2018). State estimation for static neural networks with time-varying delays based on an improved reciprocally convex inequality, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 1376-1381
  45. A. Kazemy, X.-M. Zhang, Q.-L. Han (2017). Dynamic output feedback control for seismic-excited buildings, Journal of Sound and Vibration, vol. 411, pp. 88-107, Dec. 2017.
  46. X.-M. Zhang, Q.-L. Han, Z. D. Wang, B.-L. Zhang (2017). Neuronal state estimation for neural networks with two additive time-varying delay components, IEEE Transactions on Cybernetics, vol. 47, no. 10, pp. 3184-3194.
  47. X.-M. Zhang, Q.-L. Han, A. Seuret, F. Gouaisbout (2017). An improved reciprocally convex inequality and an augmented Lyapunov–Krasovskii functional for stability of linear systems with time-varying delay, Automatica, vol. 84, pp. 221-226.
  48. B.-L. Zhang, Q.-L. Han, X.-M. Zhang (2017). Recent advances in vibration control of offshore platforms, Nonlinear Dynamics, vol. 89, no. 2, pp. 755-771.
  49. X.-M. Zhang, Q.-L. Han (2017). Output feedback stabilization of networked control systems with a logic zero-order-hold. Information Sciences, vol. 381, pp. 78-91.
  50. X.-M. Zhang, Q.-L. Han (2017). Event-triggered H-infinity control of a class of nonlinear networked control systems using novel inequality inequalities. International Journal of Robust and Nonlinear Control, vol. 27, no. 4, pp. 679-700.
  51. X.-M. Zhang, Q.-L. Han, B.-L. Zhang (2017). An overview and deep investigation on sampled-data-based event-triggered control and filtering for networked systems. IEEE Transactions on Industrial Informatics, vol. 13, no. 1, pp. 4-16. 
  52. X.-M. Zhang, Q.-L. Han, X. Yu (2016). Survey of recent advances in networked control systems. IEEE Transactions on Industrial Informatics, vol.12, no. 5, pp. 1740-1752. 
  53. X.-M. Zhang, Q.-L. Han (2016). A decentralized event-triggered dissipative control scheme for systems with multiple sensors to sample the system outputs. IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 2745-2757. 
  54. J. Wang, X.-M. Zhang, Q.-L. Han (2016). Event-triggered generalized dissipativity filtering for neural networks with time-varying delays. IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 1, pp. 77-88.
  55. B.-L. Zhang, M. Meng, Q.-L. Han, X.-M. Zhang (2016). Robust non-fragile sampled-data control for offshore steel jacket platforms. Nonlinear dynamics, Vol. 83, no. 4, pp. 1939-1954. 
  56. B.-L. Zhang, Q.-L. Han, X.-M. Zhang (2016). Event-triggered H-infinity control for offshore structures in network environments. Journal of Sound and Vibration, vol. 368, pp. 1-21. 
  57. X.-M. Zhang, Q.-L. Han (2015). Event-based H-infinity filtering for sampled-data systems. Automatica, vol. 51, pp. 55-69 (Regular paper).
  58. X.-M. Zhang, Q.-L. Han (2015). Abel lemma-based finite-sum inequality and its application to stability analysis for linear discrete time-delay systems. Automatica, vol. 57, pp. 199-202.
  59. X.-M. Zhang, Q.-L. Han (2015). On designing network-based H-infinity controllers for stochastic systems. International Journal of Robust and Nonlinear Control, vol. 25, no. 1, pp. 52-71. 
  60. B.-L. Zhang, Q.-L. Han, X.-M. Zhang, X. Yu (2014). Sliding mode control with mixed current and delayed states for offshore steel jacket platforms. IEEE Transactions on Control Systems Technology, vol. 22, no. 5, pp. 1769-1783.
  61. X.-M. Zhang, Q.-L. Han (2014). New stability criterion using a matrix-based quadratic convex approach and some novel integral inequalities. IET Control Theory & Applications, vol. 8, no. 12, pp. 1054-1061. 
  62. X.-M. Zhang, Q.-L. Han (2014). Global asymptotic stability analysis for delayed neural networks using a matrix quadratic convex approach. Neural Networks, vol. 54, pp. 57-69. 
  63. X.-M. Zhang, Q.-L. Han (2014). Event-triggered dynamic output feedback control for networked control systems. IET Control Theory & Applications, vol. 8, no. 4, pp. 226-234.
  64. X.-M. Zhang and Q.-L. Han (2013). Network-based H∞ filtering using a logic-like jumping trigger. Automatica, vol. 49, no. 5, pp. 1428-1435.
  65. X.-M. Zhang and Q.-L. Han (2013). Novel delay-derivative-dependent stability criteria using new bounding techniques. International Journal of Robust and Nonlinear Control, vol. 23, no. 13, pp. 1419-1432. 
  66. X.-M. Zhang and Q.-L. Han (2012). Network-based H∞ filtering for discrete-time systems. IEEE Transactions on Signal Processing, vol. 60, no. 2, pp. 956-961. 
  67. B.-L. Zhang, Q.-L. Han, X.-M. Zhang and X. Yu (2012). Integral sliding mode control for offshore steel jacket platforms. Journal of Sound and Vibration, vol. 331, no. 14, pp. 3271-3285. 
  68. X.-M. Zhang and Q.-L. Han (2011). Global asymptotic stability for a class of generalized neural networks with interval time-varying delays. IEEE Transactions on Neural Networks, vol. 22, no. 8, pp. 1180-1192.
  69. X.-M. Zhang and Q.-L. Han (2011). Effects of small time-delays on dynamic output feedback control of offshore steel jacket structures. Journal of Sound and Vibration, vol. 330, no. 16, pp. 3883-3900.
  70. X.-M. Zhang and Q.-L. Han (2009). New Lyapunov-Krasovskii functional for global asymptotic stability of delayed neural networks. IEEE Transactions on Neural Networks, vol. 20, no. 3, pp. 533-539. 
  71. X.-M. Zhang and Q.-L. Han (2009). A less conservative method for designing H∞ filters for linear time-delaysystems.International Journal of Robust and Nonlinear Control, vol. 19, no. 12, pp. 1376-1396.
  72. X.-M. Zhang and Q.-L. Han (2009). A delay decomposition approach to delay-dependent stability for linear systems with time-varying delays. InternationalJournal of Robust and Nonlinear Control, vol. 19, no. 17, pp. 1922-1930. 
  73. S.-P. Xiao and X.-M. Zhang (2009). New globally asymptotic stability criteria for delayed cellular neural networks. IEEE Transactions on Circuits and systems II: Express Briefs, vol. 56, no. 8, pp. 659-663. 
  74. X.-M. Zhang and Q.-L. Han (2009).A new stability criterion for a partial element equivalent circuit model of neutral. IEEE Transactions on Circuits and systems II: Express Briefs, vol. 56, no. 10, pp. 798-802. 
  75. X.-M. Zhang and Q.-L. Han (2009). A delay decomposition approach to H∞ control of networked control systems. European Journal of Control, vol. 15, no. 5, pp. 523-533. 
  76. X.-M. Zhang, M. Li, M. Wu, and J.-H. She (2009). Further results on stability and stabilization of linear systemswith state and input delays. International Journal of Systems Science, vol. 40, no. 1, pp. 1-10. 
  77. X.-M. Zhang and Q.-L. Han (2008). Robust H∞ filtering for a class of uncertain linear systems with time-varying delay. Automatica, vol. 44, no. 1, pp. 157-166.
  78. X.-M. Zhang and Q.-L. Han (2008). A new finite-sum inequality approach to delay-dependent H∞ control of discrete-time systems with time-varying delay. International Journal of Robust and Nonlinear Control, vol. 18, no. 6, pp. 630-647. 
  79. X.-M. Zhang and Q.-L. Han (2007). Stability analysis and H∞ filtering for delay differential systems ofneutral type. IET Control Theory and Applications, vol. 1, no. 3, pp. 749-755.
  80. X.-M. Zhang, M.Wu, Q.-L. Han, and J.-H. She (2006). A new integral inequality approach to delay-dependentrobust H∞ control. Asian Journal of Control, vol. 8, no. 2, pp. 153-160. 
  81. X.-M. Zhang and Q.-L. Han (2006). Delay-dependent robust H∞ filtering for uncertain discrete-time systemswith time-varying delay based on a finite sum inequality. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 53, no. 12, pp. 1466-1470. 
  82. X.-M. Zhang, M. Wu, J.-H. She, and Y. He (2005). Delay-dependent stabilization of linear systems with time-varying state and input delays. Automatica, vol. 41, no. 8, pp. 1405-1412. 
  83. Z. He and X.-M. Zhang (2004). Monotone iterative technique for first order impulsive difference equations with periodic boundary conditions. Applied Mathematics and Computation, vol. 156, no. 3, pp. 605-620. 

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.

PhD topics and outlines

Dynamic analysis of delayed neural networks: Neural networks (NNs) are powerful in processing the associative memory and solving optimization problems, and provide a stepping stone in the research for AI. However, time-delays are unavoidable in an NN. This topic aims to investigate both positive and negative effects of time-delays on the dynamic performance, e.g. passivity, dissipativity, and multi-stability etc., of NNs. 

Time-delay systems and applications to networked control: Time-delay systems have been proven an effective method for analysis and control of networked control systems (NCSs). This topic aims to investigate suitable control strategies to deal with imperfections caused by limited network bandwidth and attackes from malicious agents.  Based on the proposed strategies, solutions to problems appearing in various industrial control systems are expected.

Publications

Also published as: Zhang, Xianming; Zhang, X.; Zhang, X. M.; Zhang, Xian Ming; Zhang, Xian-Ming
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2019: Repetitive Control Systems in Networked Environments *; ARC Discovery Projects Scheme

* Chief Investigator


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