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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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Mean Square Optimal Control by Interconnection for Linear Stochastic Hamiltonian Systems

TL;DR: First-order necessary conditions of optimality are outlined which employ variational methods developed previously for constrained linear quadratic Gaussian control problems for linear stochastic Hamiltonian systems subject to random external forces.
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The use of multiple actuators in the robust control of an acoustic duct

TL;DR: In this article, the authors consider the problem of robust active noise control in an acoustic duct and consider how the number of actuator speakers affects the performance of the system, based on some recent results on minimax LQG control.
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Coherent Robust H∞ Control of Uncertain Linear Quantum Systems with Direct and Indirect Couplings

TL;DR: In this article , a robust H ∞ analysis method is presented for a class of uncertain quantum systems where uncertainties may exist in the system and interaction Hamiltonians , and the coupling operators.
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The robust prediction problem for a class of uncertain systems

TL;DR: In this paper, the robust prediction problem for a class of uncertain systems is modelled deterministically via an integral quadratic constraint, and the set of all possible states at the current time t consistent with given output measurements up to a time /spl tau/
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Quantum Hamiltonian Identifiability via a Similarity Transformation Approach and Beyond

TL;DR: In this article, the identifiability of a system is concerned with whether the unknown parameters in the system can be uniquely determined with all the possible data generated by a certain experimental setting.