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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Journal Article
Optimal Filtering
TL;DR: This book helps to fill the void in the market and does that in a superb manner by covering the standard topics such as Kalman filtering, innovations processes, smoothing, and adaptive and nonlinear estimation.
Book
Optimal Control: Linear Quadratic Methods
TL;DR: In this article, an augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian methods effectively for the design of control systems, with step-by-step explanations that show clearly how to make practical use of the material.
Book
Hidden Markov Models: Estimation and Control
TL;DR: This paper presents a meta-modelling procedure called Markov Model Processing that automates the very labor-intensive and therefore time-heavy and therefore expensive process of HMMEstimation.
Book
Optimization and Dynamical Systems
Uwe Helmke,John B. Moore +1 more
TL;DR: Details of Matrix Eigenvalue Methods, including Double Bracket Isospectral Flows, and Singular Value Decomposition are revealed.
Journal ArticleDOI
Detectability and Stabilizability of Time-Varying Discrete-Time Linear Systems
TL;DR: In this article, the concepts of detectability and stabilizability are explored for time-varying systems, including invariance under feedback, an extended version of the lemma of Lyapunov, existence of stabilizing feedback laws, linear quadratic filtering and control, and the existence of approximate canonical forms.