J
John B. Moore
Researcher at Australian National University
Publications - 352
Citations - 19139
John B. Moore is an academic researcher from Australian National University. The author has contributed to research in topics: Adaptive control & Linear-quadratic-Gaussian control. The author has an hindex of 50, co-authored 352 publications receiving 18573 citations. Previous affiliations of John B. Moore include Akita University & University of Hong Kong.
Papers
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Proceedings ArticleDOI
Coprime Factorization over a Class of Nonlinear Systems
John B. Moore,L. Iricht +1 more
TL;DR: In this paper, the problem of generalizing elements of linear coprime factorization theory to nonlinear systems characterized in terms of (possibly time varying) state dependent matrices was considered.
Journal ArticleDOI
Detection techniques in least squares identification
R. Kumar,John B. Moore +1 more
TL;DR: Parameter estimation schemes based on least squares identification and detection ideas are proposed for ease of computation, reduced numerical difficulties, and bias reduction in the presence of colored noise correlated with the states of the signal generating system.
Journal ArticleDOI
Recursive identification of overparametrized systems
Lige Xia,John B. Moore +1 more
TL;DR: A recursive identification algorithm based on extended least squares is proposed to deal with the contingency of overparametrization, and is shown to converge to a uniquely defined signal model with any pole-zero cancellations at the origin.
Journal ArticleDOI
Dual form of a positive real lemma
TL;DR: In this article, a system theory description alternative to those already known for transfer function matrices which are positive real is presented using the fact that the transpose of a positive real matrix is itself positive real.
Journal ArticleDOI
Adaptive estimation using parallel processing techniques
Peter K. S. Tam,John B. Moore +1 more
TL;DR: Using this approach new estimators are derived which require less computational effort and have less limitations than previous adaptive estimators using parallel processing techniques described in the literature.