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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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Rapid Lyapunov control of finite-dimensional quantum systems
TL;DR: This paper proposes two classes of new Lyapunov control methods that can achieve rapidly convergent control for quantum states and proposes two special control functions which are continuously differentiable and yet have a bang–bang type property.
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Brief paper: Cascade cavity realization for a class of complex transfer functions arising in coherent quantum feedback control
TL;DR: It is shown that for almost all quantum optical systems within this class, the corresponding transfer function can be realized as a cascade connection involving only cavities and phase-shifters.
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Linear quadratic differential games with cheap control
TL;DR: In this paper, the authors considered a linear quadratic differential game in which the weighting on the minimizing control is allowed to approach zero and showed that if a certain minimum phase condition is satisfied then the value of the game will approach zero.
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Model validation for robust control of uncertain systems with an integral quadratic constraint
Andrey V. Savkin,Ian R. Petersen +1 more
TL;DR: The proposed model validation algorithm is based on the solution to a game-type Riccati differential equation and a set of state equations closely related to a robust Kalman filtering problem.
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Robust stabilization of linear uncertain discrete-time systems via a limited capacity communication channel
TL;DR: A constructive method to design a robustly stabilizing controller is proposed in the case when the control input is to be transmitted via communication channel with a bit-rate constraint.