Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023977572> ?p ?o ?g. }
- W2023977572 endingPage "3561" @default.
- W2023977572 startingPage "3550" @default.
- W2023977572 abstract "This paper considers a nonlinear constrained optimal control problem (NCOCP) originated from energy optimal trajectory planning of servomotor systems. Solving the exact optimal solution is challenging because of the nonlinear and switching cost function, and various constraints. This paper proposes a method to manage the switching cost function to establish a set of necessary conditions of an NCOCP. Specifically, a concept “sub-trajectory” is introduced to match multiple Hamiltonian due to switches in the cost function. Necessary conditions on the optimal trajectory are established as a union of conditions for all sub-trajectories and Weierstrass–Erdmann corner conditions between sub-trajectories. The set of feasible structures of optimal trajectories is further identified and represented by various state transition diagrams for the servomotor application. A decomposition-based shooting method is proposed to compute an optimal trajectory by solving multi-point boundary value problems. Simulations and experiments validate the effectiveness of the methodology and the energy saving benefit." @default.
- W2023977572 created "2016-06-24" @default.
- W2023977572 creator A5021727228 @default.
- W2023977572 creator A5039935451 @default.
- W2023977572 creator A5044079782 @default.
- W2023977572 date "2013-12-01" @default.
- W2023977572 modified "2023-09-27" @default.
- W2023977572 title "A Hamiltonian approach to compute an energy efficient trajectory for a servomotor system" @default.
- W2023977572 cites W113966369 @default.
- W2023977572 cites W130588213 @default.
- W2023977572 cites W1505754525 @default.
- W2023977572 cites W1530117215 @default.
- W2023977572 cites W1562460111 @default.
- W2023977572 cites W1967688489 @default.
- W2023977572 cites W1970412155 @default.
- W2023977572 cites W1972394793 @default.
- W2023977572 cites W1980218901 @default.
- W2023977572 cites W1982019931 @default.
- W2023977572 cites W1982446614 @default.
- W2023977572 cites W1983317756 @default.
- W2023977572 cites W1990418722 @default.
- W2023977572 cites W1999502602 @default.
- W2023977572 cites W2003225665 @default.
- W2023977572 cites W2003618985 @default.
- W2023977572 cites W2006331190 @default.
- W2023977572 cites W2017945506 @default.
- W2023977572 cites W2020269819 @default.
- W2023977572 cites W2036401741 @default.
- W2023977572 cites W204291894 @default.
- W2023977572 cites W2047929780 @default.
- W2023977572 cites W2056823730 @default.
- W2023977572 cites W2057794519 @default.
- W2023977572 cites W2077219618 @default.
- W2023977572 cites W2079978280 @default.
- W2023977572 cites W2084485182 @default.
- W2023977572 cites W2085015797 @default.
- W2023977572 cites W2087149139 @default.
- W2023977572 cites W2091197916 @default.
- W2023977572 cites W2099454002 @default.
- W2023977572 cites W2103690949 @default.
- W2023977572 cites W2109772914 @default.
- W2023977572 cites W2109821203 @default.
- W2023977572 cites W2113573487 @default.
- W2023977572 cites W2114461408 @default.
- W2023977572 cites W2115091574 @default.
- W2023977572 cites W2116154037 @default.
- W2023977572 cites W2134298283 @default.
- W2023977572 cites W2146647025 @default.
- W2023977572 cites W2152332491 @default.
- W2023977572 cites W2153425320 @default.
- W2023977572 cites W2158725138 @default.
- W2023977572 cites W2162218551 @default.
- W2023977572 cites W2172267086 @default.
- W2023977572 cites W2177109275 @default.
- W2023977572 cites W2809460247 @default.
- W2023977572 cites W2961703895 @default.
- W2023977572 cites W3029645440 @default.
- W2023977572 cites W3206777520 @default.
- W2023977572 doi "https://doi.org/10.1016/j.automatica.2013.09.019" @default.
- W2023977572 hasPublicationYear "2013" @default.
- W2023977572 type Work @default.
- W2023977572 sameAs 2023977572 @default.
- W2023977572 citedByCount "32" @default.
- W2023977572 countsByYear W20239775722013 @default.
- W2023977572 countsByYear W20239775722014 @default.
- W2023977572 countsByYear W20239775722015 @default.
- W2023977572 countsByYear W20239775722016 @default.
- W2023977572 countsByYear W20239775722017 @default.
- W2023977572 countsByYear W20239775722018 @default.
- W2023977572 countsByYear W20239775722019 @default.
- W2023977572 countsByYear W20239775722020 @default.
- W2023977572 countsByYear W20239775722021 @default.
- W2023977572 crossrefType "journal-article" @default.
- W2023977572 hasAuthorship W2023977572A5021727228 @default.
- W2023977572 hasAuthorship W2023977572A5039935451 @default.
- W2023977572 hasAuthorship W2023977572A5044079782 @default.
- W2023977572 hasConcept C109441226 @default.
- W2023977572 hasConcept C121332964 @default.
- W2023977572 hasConcept C126255220 @default.
- W2023977572 hasConcept C1276947 @default.
- W2023977572 hasConcept C130787639 @default.
- W2023977572 hasConcept C13662910 @default.
- W2023977572 hasConcept C14036430 @default.
- W2023977572 hasConcept C154945302 @default.
- W2023977572 hasConcept C158622935 @default.
- W2023977572 hasConcept C173246807 @default.
- W2023977572 hasConcept C2775924081 @default.
- W2023977572 hasConcept C33923547 @default.
- W2023977572 hasConcept C41008148 @default.
- W2023977572 hasConcept C47446073 @default.
- W2023977572 hasConcept C62520636 @default.
- W2023977572 hasConcept C78458016 @default.
- W2023977572 hasConcept C86803240 @default.
- W2023977572 hasConcept C91575142 @default.
- W2023977572 hasConceptScore W2023977572C109441226 @default.
- W2023977572 hasConceptScore W2023977572C121332964 @default.
- W2023977572 hasConceptScore W2023977572C126255220 @default.
- W2023977572 hasConceptScore W2023977572C1276947 @default.