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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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Multirealization of linear systems
TL;DR: For multiple-model adaptive control systems, "multi-controller" architecture can be efficiently implemented (multirealized) by means of a "state-shared" parameter-dependent feedback system.
Proceedings ArticleDOI
Robust adaptive control: Conditions for local stability
TL;DR: In this article, the authors examined the question of when an adaptive control system is robust to unmodeled dynamics and unknown bounded disturbances and provided conditions that ensure the existence of such robustness properties, but only locally, i.e., restrictions are placed on the behavior of signals in the ideal, perfectly tuned adaptive system.
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Performance of the maximum likelihood constant frequency estimator for frequency tracking
TL;DR: The mean frequency of a discrete complex tone that has a time-varying (ramp) frequency is estimated under the incorrect assumption that it has a constant frequency and the mean squared error above the threshold region is shown to be constant even at very high SNR levels.
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Extended state-space model of discrete-time dynamical systems
TL;DR: In this article, a model for discrete-time dynamical systems is discussed in which the future values of the internal variables depend on the present and K - 1 previous time instants, where K is the order of the model.
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Some Integral Equations with Nonsymmetric Separable Kernels
TL;DR: In this article, it was shown that the eigenvalues and eigenfunctions for the class of separable kernels can be determined from the solution of a linear differential equation, which is usually more amenable to machine solution.