Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/92255
Title: The HJB Approach and State Estimation for Control Systems with Uncertainty
Authors: Filippova, T. F.
Issue Date: 2018
Publisher: Elsevier B.V.
Citation: Filippova T. F. The HJB Approach and State Estimation for Control Systems with Uncertainty / T. F. Filippova. — DOI 10.1016/j.ifacol.2018.07.246 // IFAC-PapersOnLine. — 2018. — Vol. 13. — Iss. 51. — P. 7-12.
Abstract: This paper deals with the comparison principle for the first-order ODEs of the Hamilton - Jacobi - Bellman (HJB) type which describe solutions of the dynamical control system with a special structure, with combined nonlinearity of quadratic and bilinear kinds and with uncertainty in initial states and in system parameters. The uncertainty studied here is of set-membership type when only the bounding set for unknown items is given. The ellipsoidal estimates of reachable sets are derived using the special structure of studied control system. The techniques of generalized solutions of Hamilton - Jacobi - Bellman inequalities together with previously established results of ellipsoidal calculus are applied to find the external set-valued estimates of reachable sets as the level sets of a related cost functional. © 2018
Keywords: CONTROL PROBLEMS
ESTIMATION
NONLINEARITY
REACHABLE SETS
UNCERTAINTY
CALCULATIONS
ESTIMATION
COMPARISON PRINCIPLE
CONTROL PROBLEMS
DYNAMICAL CONTROL SYSTEMS
GENERALIZED SOLUTION
HAMILTON JACOBI BELLMAN
NONLINEARITY
REACHABLE SET
UNCERTAINTY
STATE ESTIMATION
URI: http://elar.urfu.ru/handle/10995/92255
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85052877489
WOS ID: 000443321500002
PURE ID: 7889856
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2018.07.246
metadata.dc.description.sponsorship: Ural Branch, Russian Academy of Sciences
18-1-1-9
Российский Фонд Фундаментальных Исследований (РФФИ): No. 18-01-00544-a and No. 166-29-04191-ofi-m
The research was partially supported by the Integrated Scientific Program of the Ural Branch of Russian Academy of Sciences, Project 18-1-1-9 “Estimation of the Dynamics of Nonlinear Control Systems and Route Optimization” and by the Russian Foundation for Basic Researches (RFBR research projects No. 18-01-00544-a and No. 166-29-04191-ofi-m).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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