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Ian R. Petersen
Researcher at Australian National University
Publications - 992
Citations - 24919
Ian R. Petersen is an academic researcher from Australian National University. The author has contributed to research in topics: Quantum & Robust control. The author has an hindex of 67, co-authored 959 publications receiving 22649 citations. Previous affiliations of Ian R. Petersen include University of Cambridge & University of Manchester.
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Singular Perturbation Approximations for General Linear Quantum Systems
Shanon L. Vuglar,Ian R. Petersen +1 more
TL;DR: In this article, the authors considered the use of singular perturbation approximations for general linear quantum systems where the system dynamics are described in terms of both annihilation and creation operators.
Proceedings ArticleDOI
Quantum Filtering for a Qubit System Subject to Classical Disturbances
Qi Yu,Daoyi Dong,Ian R. Petersen +2 more
TL;DR: The quantum concatenation product is adopted to describe the quantum system which contains both the qubit subsystem and the cavity subsystem, and a stochastic master equation, which provides estimates for the quantum state and the classical signal is given.
Proceedings Article
Multi-variable velocity feedback controller for piezoelectric tube scanner: A “mixed” negative-imaginary and small-gain approach
TL;DR: In this paper, a multi-input multi-output (MIMO) velocity feedback controller (VFC) based on a mixed negative-imaginary and small-gain approach to damp the first resonant mode of a piezoelectric tube scanner (PTS) used in atomic force microscopes (AFMs) is presented.
Proceedings ArticleDOI
Multivariable control of noise in an acoustic duct
TL;DR: A minimax LQG control approach is used to synthesize a controller which minimizes noise level at a specified location in an acoustic duct that is robust against uncertainties introduced by neglecting the higher order modes of the duct.
Journal ArticleDOI
Brief Paper: Almost Optimal LQ-Control Using Stable Periodic Controllers
Andrey V. Savkin,Ian R. Petersen +1 more
TL;DR: It is shown that for the existence of such a controller, it is sufficient that the plant be stabilizable and detectable and the control law is required to be almost optimal with respect to a quadratic performance index.