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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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Journal ArticleDOI

Lyapunov Control of Quantum Systems Based on Energy-Level Connectivity Graphs

TL;DR: Several applications including a five-level quantum system, a three-qubit superconducting system, and a spin chain of five qubits are presented to demonstrate the effectiveness of the multilayer Lyapunov control method.
Proceedings ArticleDOI

Robust output feedback guaranteed cost control of nonlinear stochastic uncertain systems via an IQC approach

TL;DR: In this article, a constructive output feedback robust nonlinear controller design based on the use of integral quadratic constraints and minimax LQG control is presented, which is closely related to H/sup /spl infin// control theory.
Proceedings ArticleDOI

Time-averaged robust control of stochastic partially observed uncertain systems

TL;DR: In this paper, the authors considered a linear-quadratic infinite-horizon time-averaged guaranteed cost control problem for stochastic uncertain systems with output measurement, where a new class of uncertainty is introduced that satisfies a stochastically relative entropy constraint.
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An exponential quantum projection filter for open quantum systems

TL;DR: In this article, an approximate exponential quantum projection filtering scheme is developed for a class of open quantum systems described by Hudson-Parthasarathy quantum stochastic differential equations, aiming to reduce the computational burden associated with online calculation of the quantum filter.
Journal ArticleDOI

Negative Imaginary Lemmas for Descriptor Systems

TL;DR: This technical note studies the negative imaginary properties of descriptor linear systems based on state-space realizations using a multiple-input and multiple-output RLC circuit network as an illustrative example to validate the developed theory.