I
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
More filters
Journal ArticleDOI
Output feedback guaranteed cost control of uncertain systems on an infinite time interval
Andrey V. Savkin,Ian R. Petersen +1 more
TL;DR: In this article, the authors considered the problem of optimal guaranteed cost control of an uncertain system via output feedback, and gave a necessary and sufficient condition for the existence of a guaranteed cost controller guaranteeing a specified level of performance.
Proceedings ArticleDOI
Consensus of quantum networks with continuous-time markovian dynamics
TL;DR: In this paper, the convergence of a quantum network to a consensus (symmetric) state with continuous-time swapping operators is investigated, and the convergence rate can be optimized via standard convex programming given a fixed amount of edge weights.
Journal ArticleDOI
Pure Gaussian states from quantum harmonic oscillator chains with a single local dissipative process
TL;DR: This work completely parametrization the class of $(2\aleph+1)$-mode pure Gaussian states that can be prepared by this type of quantum harmonic oscillator chain that is coupled to a single reservoir.
Proceedings ArticleDOI
Control Effort Considerations in the Stabilization of Uncertain Dynamical Systems
Ian R. Petersen,B. Ross Barmish +1 more
TL;DR: In this paper, the amplitude of the controller is used to stabilize an uncertain nonlinear system, and a minimum effort control is proposed to ensure the desired degree of negativity of the Lyapunov derivative.
Proceedings ArticleDOI
Sampling-based learning control for quantum systems with hamiltonian uncertainties
TL;DR: In this paper, a sampling-based learning control (SLC) method is proposed for robust control design of quantum systems with Hamiltonian uncertainties, which includes two steps of training and testing and evaluation.