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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Brief paper A Newton-like method for solving rank constrained linear matrix inequalities
TL;DR: In this article, a Newton-like algorithm for solving systems of rank constrained linear matrix inequalities is presented, where local quadratic convergence is not a priori guaranteed or observed in all cases, numerical experiments, including application to an output feedback stabilization problem, show the effectiveness of the algorithm.
Proceedings ArticleDOI
Convergence of weighted minimum variance N-step ahead prediction/control schemes
John B. Moore,Ranjeet Kumar +1 more
TL;DR: In this paper, the convergence theory of martingale convergence is applied to N decomposed terms consisting of the parameter and state estimation errors, guiding the selection of weighting coefficients in a weighted least squares approach.
Proceedings Article
On Finite-dimensional Risk-sensitive Estimation
Subhrakanti Dey,John B. Moore +1 more
TL;DR: Finite-dimensionality issues regarding discrete-time risk-sensitive estimation for stochastic nonlinear systems are addressed and it is shown that for a bilinear system with an unknown parameter, finite-dimensional risk- sensitive estimates can be obtained.
Proceedings ArticleDOI
Convergence of an adaptive control scheme applied to non-minimum phase plants
John B. Moore,Rajendra Kumar +1 more
TL;DR: In this paper, global convergence theories for adaptive minimum variance control of non-minimum phase stochastic plants are generalized to cover the case of adaptive control schemes for non-minimally phase Stochastic plants.
Proceedings ArticleDOI
A quasi-separation theorem for LQG optimal control with IQ constraints
Andrew Lim,John B. Moore +1 more
TL;DR: In this paper, the authors consider the problem of optimal control with finitely many IQ (integral quadratic) constraints and show that the separation theorem does not hold, but a generalization which they call a quasi-separation theorem holds instead.