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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.
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Proceedings ArticleDOI
Energy Savings Achievable in Connection Preserving Energy Saving Algorithms
TL;DR: The research reported in the paper helps to answer questions such as whether the energy savings achieved by using a sensor with a variable-transmission-power justify the additional cost involved in manufacturing it.
Journal ArticleDOI
Fault diagnosis in loop-connected systems☆
TL;DR: Fault diagnosis in a large system comprising a collection of small subsystems or units which can test one another for the existence of a faulty condition is considered, finding that if subsystem α is not faulty and tests subsystem β, a correct indication of the status of β is obtained.
Proceedings ArticleDOI
Closed-loop output error identification of nonlinear plants using kernel representations
TL;DR: In this article, the authors extended the family of algorithms presented previously by the authors (1999) for the identification of continuous time nonlinear plants operating in closed-loop systems, and the main novelty is that the detection of unstable plants is covered in its generality.
Apparently lossless time-varying networks.
TL;DR: In this article, it was shown that time-varying multiport transformers with secondary ports terminated in passive time-invariant capacitors are not necessarily lossless and necessary and sufficient conditions on the transformer turns-ratio for there to be finite energy excitations at the transformer primary producing arbitrary charges on the capacitors.
Journal ArticleDOI
Angle-based Formation Shape Control with Velocity Alignment
TL;DR: In this paper, the authors studied how to achieve angle-based formation control and velocity alignment at the same time, in which all agents can form a desired angle-rigid formation and translate with the same velocity simultaneously.