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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
Reaching a Consensus in a Dynamically Changing Environment: A Graphical Approach
TL;DR: Graph-theoretic conditions are obtained which address the convergence question for the leaderless version of the widely studied Vicsek consensus problem.
Book
Model Reduction for Control System Design
TL;DR: In this article, model and controller reduction based on Coprime Factorization (CF) is proposed for low-order controller design, where the model is reduced by multiplicative approximation and the controller is reduced based on time factorization.
Proceedings ArticleDOI
Rigidity, computation, and randomization in network localization
Tolga Eren,O.K. Goldenberg,Walter Whiteley,Yang Yang,A.S. Morse,Brian D. O. Anderson,Peter N. Belhumeur +6 more
TL;DR: This work provides a theoretical foundation for the problem of network localization in which some nodes know their locations and other nodes determine their locations by measuring the distances to their neighbors and constructs grounded graphs to model network localization.
Journal ArticleDOI
Rigid graph control architectures for autonomous formations
TL;DR: In this paper, a theory for analyzing and creating architectures appropriate to the control of formations of autonomous vehicles is presented. The theory is based on ideas of rigid graph theory, some but not all of which are old.
Book
Network Analysis and Synthesis: A Modern Systems Theory Approach
TL;DR: Wheeler and Ganji introduce many topics that engineers need to master in order to plan, design and document a successful experiment or measurement system, including modern computerized data acquisition systems, electrical output measuring devices, and in-depth coverage of experimental uncertainty analysis.