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Titlebook: Dynamic Control and Optimization; DCO 2021, Aveiro, Po Tatiana V. Tchemisova,Delfim F. M. Torres,Alexande Conference proceedings 2022 The E

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书目名称Dynamic Control and Optimization
副标题DCO 2021, Aveiro, Po
编辑Tatiana V. Tchemisova,Delfim F. M. Torres,Alexande
视频video
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Dynamic Control and Optimization; DCO 2021, Aveiro, Po Tatiana V. Tchemisova,Delfim F. M. Torres,Alexande Conference proceedings 2022 The E
描述This book contains the revised selected papers of the International Conference on Dynamic Monitoring and Optimization, DCO 2021, held in Aveiro, Portugal, February 3-5, 2021. The papers present achievements in the most challenging areas of dynamic control, optimization and related topics, including recent results in nonlinear dynamic control systems, calculus of variations, sub-Riemannian geometry, conventional differential equations, control of PDE evolution, stochastic differential equations, the spread of acoustic waves in elastic media, dynamics in space-time, Nondegenerate abnormality, controllability, and the infimum gap phenomena in optimization and optimal control with state constraints..
出版日期Conference proceedings 2022
关键词nonlinear dynamical control systems; control of evolution PDE; optimal control; sub-Riemannian geometry
版次1
doihttps://doi.org/10.1007/978-3-031-17558-9
isbn_softcover978-3-031-17560-2
isbn_ebook978-3-031-17558-9Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Jutta Hartmann,Bettina Hünersdorfotically approximated subsystems guarantees the exponential stability of the original three-time-scale system with delay and the established conditions are robust with respect to the small parameters.
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Kapitel: Einleitung und Vorgehensweiseion. Then, using the Lyapunov analysis method, we obtain conditions for the extinction of the total labour force. Furthermore, we also prove sufficient conditions for their persistence in mean. Finally, we illustrate our theoretical results through numerical simulations.
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On Non-linear Optimization with a Perturbed Objective Functionwhich deal in a direct, algebraic way with imprecisions. They include imprecise differentiation, and an approximate Fermat Lemma and Implicit Function Theorem. The tools are the external numbers of Nonstandard Analysis, which are models of Sorites imprecisions.
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