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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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Journal ArticleDOI
Adaptive Source Localization Based Station Keeping of Autonomous Vehicles
TL;DR: The problem of driving a mobile sensory agent to a target whose location is specified only in terms of the distances to a set of sensor stations or beacons is solved using an adaptive control framework integrating a parameter estimator producing beacon location estimates, and an adaptive motion control law fed by these estimates to steer the agent toward the target.
Journal ArticleDOI
Paper: Least order, stable solution of the exact model matching problem
R. W. Scott,Brian D. O. Anderson +1 more
TL;DR: The set of all solutions of the minimal design problem (MDP) is presented in parametric form, and it is shown how in principle solutions of successively higher degree can be searched for a stable solution, should the MDP have no stable solution.
Journal ArticleDOI
Impedance synthesis via state-space techniques
TL;DR: An algebraic theory of synthesis is developed, beginning with a minimal state-space realisation, perhaps obtained through control-theory procedures, from which a synthesis of rational positive-real impedance matrices is obtained through a transformation on the state.
Proceedings ArticleDOI
Checking if controllers are stabilizing using closed-loop data
TL;DR: Tests using a limited amount of experimental data obtained with the existing known controller for verifying that introduction of the new controller will stabilize the plant are presented.
Proceedings ArticleDOI
Stability analysis on four agent tetrahedral formations
TL;DR: By investigating the linearized dynamics of the system, it is proved that all incorrect equilibria are unstable, which results in that desired formation shape is almost globally asymptotically stable.