The papers contained cover well the recent advances in the field of modern control theory.
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Cornelius T. Leondes received his B. He is the author, editor, or co-author of more than textbooks and handbooks and has published more than technical papers.
Stochastic Digital Control System Techniques, Volume 76 - 1st Edition
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Stochastic Digital Control System Techniques: Advances in Theory and Applications
Skip to content. Search for books, journals or webpages All Pages Books Journals. View on ScienceDirect. Serial Editors: Cornelius Leondes.
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Free Shipping Free global shipping No minimum order. Sum-of-squares techniques are then used to find bounds on control objectives using convex semidefinite programming. The Bayesian observer is considered given log-concave process disturbances and measurement likelihoods.https://viptarif.ru/wp-content/facebook/3854.php
Stochastic Digital Control System Techniques, Volume 76
Strong log-concavity is introduced, and it is shown that the observer preserves log-concavity, and propagates strong log-concavity like inverse covariance in a Kalman filter. A recursive state estimator is developed for systems with both stochastic and set-bounded process and measurement noise terms.
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- Leondes (ed), Stochastic Digital Control System Techniques: Advances in Theory and Applications, 1e.
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A time-varying linear filter gain is optimized using convex semidefinite programming and ellipsoidal over-approximation, given a relative weight on the two kinds of error.
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