Professor Chris Manzie

  • Room: Level: 04 Room: 4.1a
  • Building: Electrical and Electronic Engineering
  • Campus: Parkville

Research interests

  • Control and optimisation (Mechatronics, energy, automotive, autonomous systems)

Personal webpage

http://people.eng.unimelb.edu.au/manziec/

Biography

Chris Manzie is currently a full Professor and Head of Department of Electrical and Electronic Engineering at the University of Melbourne, and also the Director of the Melbourne Information, Decision and Autonomous Systems (MIDAS) Laboratory, which includes academics from multiple faculties including Engineering, Science and Law. Over the period 2003-2016, he was an academic in the Department of Mechanical Engineering, with responsibilities including Assistant Dean with the portfolio of Research Training (2011-2017), and Mechatronics Program Director (2009-2016). Professor Manzie was also a Visiting Scholar with the University of California, San Diego in 2007 and a Visiteur Scientifique at IFP Energies Nouvelles, Rueil Malmaison in 2012.

His research interests are in model-based and model-free control and optimisation, with applications in a range of areas including systems related to energy, transportation and mechatronics and he has published over 170 refereed journal and conference articles. He is currently supported by industry collaborations with Toyota Motor Corporation, ANCA Motion and the Defence Science and Technology Group, and has been an investigator on over $15M of grant funding and research contracts.

He is currently an Associate Editor for Elsevier Control Engineering Practice; IEEE/ASME Transactions on Mechatronics; IEEE Transactions on Control Systems Technology; and Elsevier Mechatronics.

Recent publications

  1. Wang K, Ruppert MG, Manzie C, Nesic D, Yong YK. Adaptive Scan for Atomic Force Microscopy Based on Online Optimization: Theory and Experiment. IEEE Transactions on Control Systems Technology. IEEE Control Systems Society. 2019. DOI: 10.1109/TCST.2019.2895798
  2. Olshina N, Manzie C, Hield P, Brear M. A Framework for Robust Nonlinear Economic MPC Without Terminal Constraints for a Class of Time Varying Systems. 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE. 2018. DOI: 10.1109/ICARCV.2018.8581077
  3. Ira AS, Shames I, Manzie C, Chin R, Nesic D, Nakada H, Sano T. A machine learning approach for tuning model predictive controllers. 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE. 2018. DOI: 10.1109/ICARCV.2018.8581227
  4. Deghat M, Ahmadizadeh S, Nesic D, Manzie C. Closeness of Solutions for Singularly Perturbed Systems via Averaging. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2018.
  5. Cuevas L, Nesic D, Manzie C. Convergence of full-order observers for the slow states of a singularly perturbed system (Part I: Theory). 2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC). IEEE. 2018.
  6. Cuevas L, Nesic D, Manzie C. Convergence of full-order observers for the slow states of a singularly perturbed system (Part II: Applications). 2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC). IEEE. 2018.
  7. Chin R, Manzie C, Ira A, Nesic D, Shames I. Gaussian Processes with Monotonicity Constraints for Preference Learning from Pairwise Comparisons. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2018.
  8. Cuevas L, Nesic D, Manzie C. Global stability of the error dynamics of an observer designed for the slow states of a singularly perturbed system. 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE. 2018. DOI: 10.1109/ICARCV.2018.8581224
  9. Shaw-Cortez W, Oetomo D, Manzie C, Choong P. Grasp Constraint Satisfaction for Object Manipulation using Robotic Hands. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2018.
  10. Clarke W, Manzie C, Brear M. Hierarchical economic MPC for systems with storage states. AUTOMATICA. Pergamon-Elsevier Science. 2018, Vol. 94. DOI: 10.1016/j.automatica.2018.04.012
  11. Poveda JI, Kutadinata R, Manzie C, Nesic D, Teel AR, Liao C. Hybrid Extremum Seeking for Black-Box Optimization in Hybrid Plants: An Analytical Framework. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2018.
  12. Lee K, Moase W, Manzie C. Mesh adaptation in direct collocated nonlinear model predictive control. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL. John Wiley & Sons. 2018, Vol. 28, Issue 15. DOI: 10.1002/rnc.4235
  13. Zou C, Manzie C, Nesic D. Model Predictive Control for Lithium-Ion Battery Optimal Charging. IEEE-ASME TRANSACTIONS ON MECHATRONICS. IEEE - Institute of Electrical and Electronic Engineers. 2018, Vol. 23, Issue 2. DOI: 10.1109/TMECH.2018.2798930
  14. Sharafi J, Moase W, Manzie C. Multiplexed extremum seeking for calibration of spark timing in a CNG-fuelled engine. CONTROL ENGINEERING PRACTICE. Pergamon-Elsevier Science. 2018, Vol. 72. DOI: 10.1016/j.conengprac.2017.11.005
  15. Garcia-Rosas R, Oetomo D, Manzie C, Tan Y, Choong P. On the Relationship between Human Motor Control Performance and Kinematic Synergies in Upper Limb Prosthetics. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Institute of Electrical and Electronics Engineers. 2018, Vol. 2018-July. DOI: 10.1109/EMBC.2018.8512992

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile