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Brian D. O. Anderson

Researcher at Australian National University

Publications -  1120
Citations -  50069

Brian D. O. Anderson is an academic researcher from Australian National University. The author has contributed to research in topics: Linear system & Control theory. The author has an hindex of 96, co-authored 1107 publications receiving 47104 citations. Previous affiliations of Brian D. O. Anderson include University of Newcastle & Eindhoven University of Technology.

Papers
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Journal ArticleDOI

Stationary discrete-time covariance factorization using Newton-Raphson iteration

TL;DR: The solution to the problem of factorization of the covariance function of a stationary, discrete-time process is obtained by using a Newton-Raphson procedure which converges quadratically inl1 provided the initial iterate is chosen suitably.
Proceedings Article

Adaptive Output Feedback Control of Nonlinear Systems with Nonlinear Parameterization: A Dwell-time-switching Based Multiple Model Adaptive Control Approach

TL;DR: In this paper, a dwell-time-switching based MMAC scheme is proposed for the adaptive output feedback control problem of nonlinear systems with nonlinear parameterization, which can satisfy all those sufficient conditions to ensure closed-loop stability.
Journal ArticleDOI

Performance of suboptimal linear control systems

TL;DR: It is shown that the calculation of the performance of a class of suboptimal linear control systems is similar to the calculated performance of an equivalent optimal system.
Proceedings ArticleDOI

A lifting technique for sampled-data controller reduction for closed-loop transfer function consideration

TL;DR: In this paper, the problem of controller order reduction aimed at preserving the closed-loop performance of a sampled-data closedloop system is investigated, and weighted balanced truncation is used to reduce the controller.
Posted Content

Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds : Theory and experiments

TL;DR: In this paper, a collective tracking control problem using a group of fixed-wing unmanned aerial vehicles (UAVs) with constant and non-identical speeds is considered, and the authors present conditions on the relative speeds of tracking UAVs and the target to ensure that the tracking objective can be achieved.