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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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Simultaneous Velocity and Position Estimation via Distance-Only Measurements With Application to Multi-Agent System Control
TL;DR: This paper proposes a strategy to estimate the velocity and position of neighbor agents using distance measurements only, and shows how this estimation method can be used to control the formation shape and secure velocity consensus of the agents in a multi agent system.
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Stabilization of certain two-dimensional recursive digital filters
TL;DR: In this article, a stabilization technique for one-dimensional recursive digital filters was proposed via a conjecture, which states that the planar least squares inverse of a two-dimensional filter polynomial is minimum phase and hence stable.
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Filtering through combination of positive filters
TL;DR: In this article, the authors try to exploit the advantages of charge routing networks (CRN) by realizing an arbitrary transfer function as a difference of two positive filters, where nonnegativity is a consequence of the underlying physical mechanism.
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Output Feedback and Generic Stabilizability
TL;DR: In this paper, the pole placement and stabilization for generic linear systems with prescribed state, input and output dimensions are considered. And the rationality and solvability by radicals of pole positioning gains are discussed.
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Controlling Four Agent Formations
TL;DR: In this article, the authors considered formation shape control of a team of four point agents, for the most part in the plane, and showed that there may exist equilibrium formation shapes with incorrect interagent distances.