Dr Julio Braslavsky

Biography

Julio Braslavsky has been a researcher in the field of control systems theory since 1996, working with world-class groups in the field at the University of Newcastle and The University of California, Santa Barbara, USA. Braslavsky has made substantial contributions to the theory of performance limitations in filtering and control systems, on which he has coauthored the book. His main contributions include the following specific areas:

Networked control systems. Braslavsky and coworkers developed a new framework based on signal-to-noise ratio constrains for the analysis of control systems with feedback over communication channels. In contrast to alternative approaches, the proposed framework provides simpler solutions to a restricted but important class of problems while establishing direct links with well-known analysis and design tools in control systems theory.

Sampled-data control systems. Braslavsky and coworkers have developed a frequency domain lifting approach to sampled-data systems, which was instrumental in capturing intersample information to give the first definitive analysis of robustness and sensitivity tradeoffs in these systems. Another significant contribution in this area was the derivation of a new, rigorous proof of the Poisson sampling formula to discretise an analog system.

Nonlinear control systems. Braslavsky and coworkers developed the optimal cheap control approach to first quantitatively characterise design limitations in nonlinear systems and link them to Bode integrals. Dr Braslavsky and coworker also established conditions under which global or semi-global stabilisation is impossible for a class of cascade systems, and has also collaborated in the robustification of bakstepping design and design tradeoffs in nonminimum phase systems.

Optimal filtering. Braslavsky and coworkers developed a filtering version of the cheap control approach to analyse limiting performance of Kalman filters and draw links between Bode integrals and Wiener filtering problems.

Between 2003 and 2010, as part of his work for the ARC Centre for Complex Dynamic Systems and Control (CDSC) at The University of Newcastle, Braslavsky was project leader and later programme leader of CDSC Industry Programme on Process Control and Optimisation, jointly funded by the ARC, BHP Billiton Innovation and Matrikon.

In November 2010 Braslavsky joined CSIRO Energy Technology as a Senior Scientific Researcher, remaining as a Conjoint Senior Lecturer with the University of Newcastle.

Qualifications

• PhD, University of Newcastle, 1996
• Electronic Engineer Degree - Equivalent Masters, University of Rosario - Argentina

Research

Research keywords

• Networked control systems
• Nonlinear control systems
• Optimal control
• Sampled-data control systems
• System identification

Research expertise

Braslavsky's most extensive experience is in the field of control systems theory, working in a number of areas including: fundamental design limitations in filtering and control design, nonlinear systems, sampled-data control systems, system identification. Braslavsky has also experience in systems and control engineering research collaboration with industry, substantially in applications in mineral exploration and extraction.

Collaboration

Current research interests include switched control systems, energy management, optimal control and networked control systems.

Languages

• Spanish

Fields of Research

Centres and Groups

Centre

Memberships

Committee/Associations (relevant to research).

• Publications Chair, Australian Control Conference 2011

Editorial Board.

• Editor - Institution of Electrical and Electronic Engineers, Transactions on Automatic Control
• Editor - Latin American Applied Research (International Journal)
• Editor - Institution of Engineering and Technology, Control Theory and Applications (International Journal)

Appointments

Research Fellow (Investigador Adjunto) National Council for Scientific and Technological Research (CONICET) (Argentina)

01/11/2001 - 01/03/2004

Invitations

Short course: Automatic Control Division, Royal Institute of Technology, Stockholm, Sweden (Conference Presentation - non published.)	1996
Short course: Division of Automatic Control, Department of Electrical Engineering, Linkooping University, Sweden, Sweden (Conference Presentation - non published.)	1997
Short course: "Fundamental limitations in filterign and control" Centre for Systems Engineering, Automatics and Applied Mechanics, Catholic University of Louvain, Belgium (Conference Presentation - non published.)	1996
Short course: "Fundamental limitations in filterign and control" Center for Control Engineering and Computation, University of California, Santa Barbara, United States (Conference Presentation - non published.)	1997
Short course: "Fundamental limitations in filterign and control" Department of automatic Control, Lund Institute of Technology, Sweden (Conference Presentation - non published.)	1996

---

Administrative

Administrative expertise

Currently Associate editor for IEEE Transactions on Automatic Control, and IET Control Theory and Applications; formerly Associate Editor for the Jornal of Latin American Applied Research 2003-2007. Currently Program Leader for Industrial Control and Optimisation for the ARC Centre of Excellence for Complex Dynamic Systems and Control. Regular reviewer for the top journals in systems and control, including Automatica, the IEEE Transactions on Automatic Control, and System and Control Letters. Grant assessor (Intreader) for the Australian Research Council.

---

Teaching

Teaching keywords

• Electrical Engineering
• Mathematical Modelling
• Systems and Control Theory

Teaching expertise

Undergraduate courses in control systems analysis and design: internal model control and state space control methods. Graduate courses in optimal and nonlinear control systems. Short course on performance limitations in filtering and control. Lectures on technical writing and professional communication, document typesetting with LaTeX. Modelling and control intensive courses for industry.