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.
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Correspondence item: A note on a singular optimal control problem
TL;DR: The dual mode optimal control problem to find a control u to minimize [email protected]!0~x'Qxdt subject to the constraints Q > 0, [email-protected]?
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Relations between frequency dependent control and state weighting in LQG problems
TL;DR: In this article, the relation between controller designs for the same linear system achieved with two different quadratic performance indices was investigated, with these indices differing only to the extent that one has frequency weighting on the control, while the other has the inverse frequency weight on the state.
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Frequency Shaped Linear Optimal Control with Transfer Function Riccati Equations
TL;DR: In this article, standard linear optimal control theory is generalized using a spectral factorization approach to elucidate some effects of frequency shaped performance indices, and robustness results which parallel those of standard optimal control design.
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Recursive Prediction Error Techniques for Adaptive Estimation of Hidden Markov Models
TL;DR: In contrast to the off-line Expectation Maximisation (EM) algorithm, the on-line schemes have significantly reduced memory requirements, and with appropriate forgetting, can track slowly varying HMM parameters in an asymptotically efficient manner.
Proceedings ArticleDOI
Structure and convergence of conventional Jacobi-type methods minimizing the off-norm function
TL;DR: In this article, the convergence properties of conventional Jacobi-type methods for the diagonalization of real symmetric matrices are studied, and the critical point structure of this function is studied in detail.