scispace - formally typeset
B

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
More filters
Journal ArticleDOI

Optimum realizations of sampled-data controllers for FWL sensitivity minimization

Anton G. Madievski, +2 more
- 01 Mar 1995 - 
TL;DR: An effective algorithm is proposed to find the optimal sampled-data controller realization minimizing the sensitivity of the closed-loop performance with respect to coefficient errors in the state variable matrices of the controller realization.
Proceedings ArticleDOI

Close target reconnaissance using autonomous UAV formations

Iman Shames, +2 more
TL;DR: A decentralized control scheme is developed for this overall task considering unidirectional sensing/control architecture for close target reconnaissance by a formation of 3 unmanned aerial vehicles.
Journal ArticleDOI

Continuous-time opinion dynamics on multiple interdependent topics

Mengbin Ye, +6 more
- 01 May 2020 - 
TL;DR: In this article, the authors study two continuous-time opinion dynamics models (Model 1 and Model 2) where the individuals discuss opinions on multiple logically interdependent topics and obtain necessary and sufficient conditions for the network to reach to a consensus on each separate topic.
Journal ArticleDOI

Error bound for transfer function order reduction using frequency weighted balanced truncation

Sang Woo Kim, +2 more
- 13 Feb 1995 - 
TL;DR: An error bound for transfer function order reduction is derived, when frequency weighted balanced truncation is the order reduction method and the bound is valid for both one-sided and two-sided weighted balancing approximations with stable weights.
Journal ArticleDOI

Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization

Baris Fidan, +2 more
- 01 Sep 2008 - 
TL;DR: A potentially nonconvex weighted cost function whose global minimum estimates the location of the source/sensor one seeks is proposed, such that if the object to be localized is in this region, localization occurs by globally exponentially convergent gradient descent in the noise free case.