Ian R. Petersen | |
|---|---|
| Born | Australia |
| Alma mater | University of Melbourne University of Rochester |
| Known for | Quantum feedback, H-infinity control, Negative imaginary systems |
| Awards | Fellow of the IEEE Fellow of the Australian Academy of Science Fulbright Scholar |
| Scientific career | |
| Fields | Control theory, Quantum control |
| Institutions | Australian National University |
Ian R. Petersen is an Australian control theorist known for his contributions to robust control, quantum control, and stochastic systems. He is a professor at the Australian National University (ANU), affiliated with the Research School of Engineering.
Education and career
editPetersen received his Bachelor of Engineering (First Class Honours) in Electrical Engineering from the University of Melbourne in 1979. He later earned his M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Rochester, United States, completing his doctorate in 1984. His doctoral studies were supported by a Fulbright Postgraduate Scholarship.
From 1985 to 2016, he held various academic positions at the University of New South Wales (UNSW), including Scientia Professor, Australian Laureate Fellow, and Acting Deputy Vice-Chancellor (Research). He joined the Australian National University in 2017.
He has also held visiting fellowships at institutions including Caltech, the University of Tokyo, and the University of Cambridge.
Research
editPetersen's research spans both classical and quantum control theory, including contributions to robust control, stochastic control, and systems with uncertainty. In the area of quantum control, he has developed H-infinity methods for linear quantum stochastic systems to address robust performance under quantum noise and modeling inaccuracies.[1]
He also contributed to the development of quantum feedback and coherent control methods by connecting them with tools from classical control such as quantum filtering and risk-sensitive optimal control.[2]
[3]
In a separate line of research, Petersen and André Lanzon introduced the theory of negative imaginary systems, which provides a framework for feedback interconnection of systems with lightly damped dynamics. Their work established stability and robustness properties important for mechanical and structural systems.[4]
He has also worked on robust Kalman filtering and developed methods for dealing with estimation and control problems where statistical properties of noise and disturbances are not precisely known.
His research has been applied in diverse areas, including quantum optics, atomic force microscopy, aerospace systems, active noise cancellation, flexible structures, and smart materials.[5]
Awards and honors
edit- Fellow of the IEEE
- Fellow of the Australian Academy of Science
- Fellow, International Federation of Automatic Control
- Fellow, Institution of Engineers Australia
- Member, Society for Industrial and Applied Mathematics
- Senior Member, American Institute of Aeronautics and Astronautics
- Chinese Academy of Sciences President’s International Fellow (2015)
- Best Paper Award, 11th World Congress on Intelligent Control and Automation (2014), jointly with Guodong Shi, Karl Henrik Johansson, and Daoyi Dong
- ISI Highly Cited Researcher in Engineering
- Visiting Fellow, Corpus Christi College, University of Cambridge (1998)
- Fellow Commoner, Churchill College, Cambridge (1989)
- Fulbright Postgraduate Scholarship (1979–1983)
External links
editReferences
edit- ↑ James, Matthew R.; Nurdin, Hendra I.; Petersen, Ian R. (2008). "H∞ control of linear quantum stochastic systems". IEEE Transactions on Automatic Control. 53 (8): 1787–1803. doi:10.1109/TAC.2008.928247.
- ↑ Dong, Daoyi; Petersen, Ian R. (2011). "Quantum control theory and applications: A survey". IET Control Theory & Applications. 5 (12): 2223–2238. doi:10.1049/iet-cta.2009.0508.
- ↑ Dong, Daoyi; Petersen, Ian R. (2022). Quantum Control Engineering: Theory and Practice. Springer. doi:10.1007/978-3-031-20245-2. ISBN 9783031202445.
- ↑ Lanzon, André; Petersen, Ian R. (2008). "Stability robustness of a feedback interconnection of systems with negative imaginary frequency response". IEEE Transactions on Automatic Control. 53 (4): 1042–1046. doi:10.1109/TAC.2008.923708.
- ↑ Petersen, Ian R.; Savkin, Andrey V. (2012). Robust Kalman Filtering for Signals and Systems with Large Uncertainties. Springer.