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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.
Papers
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Proceedings ArticleDOI
Robust control of uncertain time-delay systems-a minimax optimal approach
TL;DR: In this paper, the robust controller design for a class of uncertain time-delay systems is considered, where the uncertainty is assumed to satisfy a certain integral quadratic constraint and time-delays are considered as uncertainty as well.
Proceedings Article
Control and robustness for quantum linear systems
TL;DR: In this paper, a survey of recent results on the feedback control of quantum linear systems and the robustness properties of these systems is presented, which takes the form of a quantum small gain theorem and a quantum Popov stability criterion.
Proceedings ArticleDOI
A decoherence theorem in quantum-network synchronization
TL;DR: A theorem establishing a general condition under which almost complete decohernece is achieved is proved, i.e., all but two of the off-diagonal entries of the network density operator asymptotically tend to zero.
Journal ArticleDOI
Design and Implementation of an Optical Cavity Locking Controller Test Bed System
Abhijit G. Kallapur,Dirk Schutte,Ian R. Petersen,Toby K. Boyson,Elanor H. Huntington,S. Z. Sayed Hassen,Hongbin Song,M. Heurs +7 more
TL;DR: A new optical cavity controller test bed system for implementing modern quantum control techniques, with an emphasis on the control of optical cavities, is described and experimental results are presented.
Book ChapterDOI
Nonlinear versus linear control
TL;DR: In this article, the authors consider stabilization problems for uncertain linear systems containing unstructured or structured uncertainty described by integral quadratic constraints and consider the question of whether any advantage can be obtained via the use of a nonlinear controller as opposed to a linear controller.