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

Iterative Controller Optimization for Nonlinear Systems

TL;DR: In this paper, an estimate of the gradient of the control criterion can be constructed using only signal-based information obtained from closed-loop experiments, which can be expected to be small in many practical situations.
Journal ArticleDOI

Close target reconnaissance with guaranteed collision avoidance

TL;DR: In this article, the authors considered the problem of close target reconnaissance by a group of autonomous agents and developed a decentralized control scheme for this overall task and the finite-time convergence of the system under the proposed control law is established.
Journal ArticleDOI

Godard blind equalizer error surface characteristics: White, zero-mean, binary source case

TL;DR: Results useful in topological assessment of procedures for initializing a gradient descent algorithm on this multimodal surface in the equalizer parameter space of the cost-function in this particular setting are presented.
Proceedings ArticleDOI

Robust strict positive realness: characterization and construction

TL;DR: Necessary and sufficient conditions are found for the transfer function case, and when the degree of the polynomials in P is restricted, such conditions are also found forThe polynomial b(s) case.
Journal ArticleDOI

Finite Time Distance-based Rigid Formation Stabilization and Flocking

TL;DR: In this paper, the authors proposed a distributed distance-based rigid formation control with finite settling time for point agents and double integrators, where all agents achieve the same velocity and reach a desired shape in finite time.