Download or read book La commande optimale written by Roger Marcelin Faye and published by Editions L'Harmattan. This book was released on 2017-08-15 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: La théorie de la commande optimale qui s'adresse à la conduite efficace des systèmes dynamiques a été développée dans la deuxième moitié du XIXe siècle. Les domaines d'utilisation, avec les systèmes automatisés qui font partie de notre vie quotidienne, sont variés : génération et transport d'énergie électrique, systèmes robotisés de production de biens, systèmes de surveillance, de communication, de défense et équipements médicaux... Un manuel efficace pour la résolution de tous les problèmes d'optimisation.

Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

Download or read book Semiparametric Theory and Missing Data written by Anastasios Tsiatis and published by Springer Science & Business Media. This book was released on 2007-01-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

Download or read book Markov Decision Processes in Artificial Intelligence written by Olivier Sigaud and published by John Wiley & Sons. This book was released on 2013-03-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in artificial intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, reinforcement learning, partially observable MDPs, Markov games and the use of non-classical criteria). It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.

Download or read book Dynamic Worlds written by Remo Pareschi and published by Springer Science & Business Media. This book was released on 1999-03-31 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys and synthesizes recent work in the field, and presents new research results. Among topics treated are logics for reasoning about actions and planning, belief revision and the reconciliation of logically conflicting inputs, resolution of conflicts by merging of knowledge, and issues in the evolution of object-oriented databases. Other subjects include action and change in rewriting logic, heterogeneous systems for modeling dynamic worlds, and reasoning about actual and hypothetical occurrences of concurrent and non- deterministic actions. No index. Annotation copyrighted by Book News, Inc., Portland, OR