Associate Professor Chris Manzie
teaching
Control Systems. Teaching
biography
Chris Manzie completed his PhD thesis on Intelligent Control of Air Fuel Ratio in Automotive Engines in the Department of Electrical and Electronic Engineering at the University of Melbourne in 2001, continuing in the Department as a Postdoctoral Fellow.
He joined the Department of Mechanical Engineering in 2003 where he is currently an Associate Professor. His research is predominately centred on nonlinear and adaptive control and identification problems in applications including powertrain control, by-wire vehicle control, gas turbine instability and biomedical engineering. He was a visiting scholar at the University of California in 2007.
He has collaborations with several industry partners including the Ford Motor Company of Australia, Pacifica Group Technologies, General Motors-Holden, Virtual Sailing Pty Ltd, SVW Pty Ltd and ANCA.
Chris Manzie is the Department's Postgraduate Student Coordinator.
research interests
Chris Manzie's research interests are in the applications of nonlinear and adaptive control, optimisation and learning systems particularly in the fields of by-wire systems, hybrid vehicles, biomedical engineering and gas turbines. Current projects and postgraduate supervision
curriculum vitae
selected recent publications
- R. SHARMA, D. NESIC AND C. MANZIE (2011) Model Reduction of Turbocharged (TC) Spark Ignition (SI) Engines. IEEE Transactions on Control Systems Technology 19:2 297- 310.
- W. H. MOASE, C. MANZIE AND M. BREAR (2010) Newton-Like Extremum-Seeking for the Control of Thermoacoustic Instability. IEEE Transactions on Automatic Control 55:9 2094-2105.
- C. MANZIE AND M. KRSTIC (2009)Extremum Seeking with Stochastic Perturbations. IEEE Transactions on Automatic Control 54:3 580-585.
- C. LINE, C. MANZIE AND M. C. GOOD (2008) Electromechanical brake modeling and control: From PI to MPC IEEE Transactions on Control Systems Technology 16:3, 446-458.
- C. MANZIE, S. HALGAMUGE AND H. WATSON, H. (2007) Fuel economy improvements for urban driving: Hybrid vs Intelligent Vehicles Transportation Research Part C 15, 1-16.