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Engineering and Technology

D-Index
37
Citations
5979
World Ranking
8354
National Ranking
414

Overview

Chris Manzie is affiliated with the University of Melbourne in Australia and has contributed extensively to research in engineering and computer science. Their work primarily revolves around control and systems engineering, with further involvement in computer networks and communications, artificial intelligence, computational theory and mathematics, and industrial and manufacturing engineering.

The scientist's research covers several main topics, including:

  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Control Systems and Identification
  • Optimization and Search Problems
  • Formal Methods in Verification
  • Distributed Control Multi-Agent Systems
  • Smart Grid Energy Management

Chris Manzie has published articles in a variety of academic venues, frequently appearing in:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Automatica
  • IEEE Transactions on Automatic Control
  • IEEE Robotics and Automation Letters

Their recent publications include:

  • A review of industrial tracking control algorithms, 2020, Control Engineering Practice
  • Control of an isolated microgrid using hierarchical economic model predictive control, 2020, Applied Energy
  • Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control, 2021, Journal of Water Resources Planning and Management
  • Task-Space Synergies for Reaching Using Upper-Limb Prostheses, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Robustness analysis of nonlinear observers for the slow variables of singularly perturbed systems, 2020, International Journal of Robust and Nonlinear Control

Chris Manzie has collaborated frequently with several coauthors, notably:

  • Iman Shames (28 joint publications)
  • Tony A. Wood (16 joint publications)
  • Dragan Nešić (11 joint publications)
  • Ye Pu (10 joint publications)
  • Ye Wang (9 joint publications)

Best Publications

  • Extremum seeking from 1922 to 2010

    Y. Tan;W.H. Moase;C. Manzie;D. Nesic

  • Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

    Changfu Zou;Chris Manzie;Dragan Nešić;Abhijit G. Kallapur

  • Fuel economy improvements for urban driving : Hybrid vs. intelligent vehicles

    Chris Manzie;Harry Watson;Saman Halgamuge

  • A Framework for Simplification of PDE-Based Lithium-Ion Battery Models

    Changfu Zou;Chris Manzie;Dragan Nesic

  • Newton-Like Extremum-Seeking for the Control of Thermoacoustic Instability

    W H Moase;C Manzie;M J Brear

  • A unifying approach to extremum seeking: Adaptive schemes based on estimation of derivatives

    D. Nesic;Y. Tan;W. H. Moase;C. Manzie

  • Extremum Seeking With Stochastic Perturbations

    C. Manzie;M. Krstic

  • Effects of moving the center's in an RBF network

    C. Panchapakesan;M. Palaniswami;D. Ralph;C. Manzie

  • Model predictive contouring control

    Denise Lam;Chris Manzie;Malcolm Good

  • Model Predictive Control for Lithium-Ion Battery Optimal Charging

    Changfu Zou;Chris Manzie;Dragan Nesic

  • Electromechanical Brake Modeling and Control: From PI to MPC

    C. Manzie;M.C. Good

  • The forced response of choked nozzles and supersonic diffusers

    William H. Moase;Michael J. Brear;Chris Manzie

  • Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping

    Wenceslao Shaw Cortez;Denny Oetomo;Chris Manzie;Peter Choong

  • Unified frameworks for sampled-data extremum seeking control: Global optimisation and multi-unit systems

    Sei Zhen Khong;Dragan NešIć;Ying Tan;Chris Manzie

  • Model predictive control of velocity and torque split in a parallel hybrid vehicle

    Tae Soo Kim;Chris Manzie;Rahul Sharma

  • Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer

    Chris Manzie;Marimuthu Palaniswami;Daniel Ralph;Harry Watson

  • A Framework for Extremum Seeking Control of Systems With Parameter Uncertainties

    D. Nesic;A. Mohammadi;C. Manzie

  • Conventional, hybrid and electric vehicles for Australian driving conditions. Part 2: Life cycle CO2-e emissions

    Raj Hari Sharma;C Manzie;M Bessede;R H Crawford

  • Model Predictive Control for Reference Tracking on an Industrial Machine Tool Servo Drive

    M. A. Stephens;C. Manzie;M. C. Good

  • Extremum-seeking control of a supercritical carbon-dioxide closed Brayton cycle in a direct-heated solar thermal power plant

    Rajinesh Singh;Michael P. Kearney;Chris Manzie

  • Conventional, hybrid and electric vehicles for Australian driving conditions – Part 1: Technical and financial analysis

    Raj Hari Sharma;C Manzie;M Bessede;M J Brear

Frequent Co-Authors

Dragan Nesic
Dragan Nesic University of Melbourne
Iman Shames
Iman Shames Australian National University
Michael J. Brear
Michael J. Brear University of Melbourne
Ying Tan
Ying Tan Peking University
Peter F. M. Choong
Peter F. M. Choong University of Melbourne
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
Eric C. Kerrigan
Eric C. Kerrigan Imperial College London
Andrew Ooi
Andrew Ooi University of Melbourne
Antonio Sciarretta
Antonio Sciarretta French Institute of Petroleum
Miroslav Krstic
Miroslav Krstic University of California, San Diego

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