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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 Article

Multi-variable resonant controller for fast atomic force microscopy

TL;DR: In this paper, the authors proposed a multi-variable resonant control scheme with an integral action to compensate the vibration and cross coupling effect between the axes of the piezoelectric tube scanner (PTS) in an atomic force microscope (AFM) for fast image scanning.
Proceedings Article

Stability analysis for a class of negative imaginary feedback systems including an integrator

TL;DR: In this article, a class of negative imaginary linear time invariant MIMO systems with a simple pole at the origin is studied, and a stability analysis result is presented for generalized negative imaginary systems including an integrator.
Proceedings ArticleDOI

Robust nonlinear control of a nonlinear uncertain system with input coupling and its application to hypersonic flight vehicles

TL;DR: A robust feedback linearization method combined with a minimax linear quadratic regulator (LQR) control provides a robustly stable closed loop system for multi input and multi output nonlinear uncertain systems with input coupling term.
Journal ArticleDOI

An uncertainty averaging approach to optimal guaranteed cost control of uncertain systems with structured uncertainty

TL;DR: An optimal state feedback guaranteed cost control result for a class of uncertain linear time-varying systems with structured uncertainty by solving a parametrized Riccati differential equation of the game type.
Proceedings ArticleDOI

High gain observers applied to problems in disturbance attenuation, H ∞ -infinity optimization and the stabilization of uncertain linear systems

TL;DR: In this paper, it was shown that if a certain minimum phase condition is satisfied then the transfer function bound achievable using state feedback can be asymptotically recovered using a high gain observer.