Matches in SemOpenAlex for { <https://semopenalex.org/work/W3129079905> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W3129079905 endingPage "34" @default.
- W3129079905 startingPage "1" @default.
- W3129079905 abstract "Current learning systems in the field of feedback control deal with both unbiased nonlinearities and biased nonlinearities (where bias is measured at the origin) quite differently. Unbiased nonlinearities lend themselves to direct adaptive control methods. Biased systems, on the other hand, typically require actual learning of the bias term in order to achieve acceptable error and effort. This paper attempts to unify these approaches, and to learn to compensate for both types of nonlinearities simultaneously. To do so we utilize a graphical, quantitative theory of human personalities, which assumes that their personalities indicate how people interact with the world around them using feedback. This biologically-inspired approach allows us to develop a formal design framework for tackling this problem. Simulations with a two-link robotic manipulator demonstrate the utility of the learning design method, where gravity provides the main biased nonlinearities, while friction, centripetal, and Coriolis forces are treated as unbiased nonlinearities; our neural-network update laws learn all these robot nonlinearities at the same time. Lyapunov methods result in stability guaranties for the proposed method." @default.
- W3129079905 created "2021-02-15" @default.
- W3129079905 creator A5025059705 @default.
- W3129079905 creator A5071627492 @default.
- W3129079905 date "2021-01-01" @default.
- W3129079905 modified "2023-09-26" @default.
- W3129079905 title "A high-level design process for neural-network controls through a framework of human personalities" @default.
- W3129079905 cites W1260872800 @default.
- W3129079905 cites W1993740947 @default.
- W3129079905 cites W2013815893 @default.
- W3129079905 cites W2031057907 @default.
- W3129079905 cites W2062351959 @default.
- W3129079905 cites W2092963446 @default.
- W3129079905 cites W2221751956 @default.
- W3129079905 cites W2569757722 @default.
- W3129079905 cites W2766253699 @default.
- W3129079905 cites W2952391246 @default.
- W3129079905 cites W2998797223 @default.
- W3129079905 doi "https://doi.org/10.1016/b978-0-12-822314-7.00006-7" @default.
- W3129079905 hasPublicationYear "2021" @default.
- W3129079905 type Work @default.
- W3129079905 sameAs 3129079905 @default.
- W3129079905 citedByCount "1" @default.
- W3129079905 countsByYear W31290799052022 @default.
- W3129079905 crossrefType "book-chapter" @default.
- W3129079905 hasAuthorship W3129079905A5025059705 @default.
- W3129079905 hasAuthorship W3129079905A5071627492 @default.
- W3129079905 hasConcept C101302269 @default.
- W3129079905 hasConcept C111919701 @default.
- W3129079905 hasConcept C112972136 @default.
- W3129079905 hasConcept C119857082 @default.
- W3129079905 hasConcept C121332964 @default.
- W3129079905 hasConcept C125014702 @default.
- W3129079905 hasConcept C127413603 @default.
- W3129079905 hasConcept C133731056 @default.
- W3129079905 hasConcept C154945302 @default.
- W3129079905 hasConcept C2775924081 @default.
- W3129079905 hasConcept C41008148 @default.
- W3129079905 hasConcept C47446073 @default.
- W3129079905 hasConcept C50644808 @default.
- W3129079905 hasConcept C57879066 @default.
- W3129079905 hasConcept C98045186 @default.
- W3129079905 hasConceptScore W3129079905C101302269 @default.
- W3129079905 hasConceptScore W3129079905C111919701 @default.
- W3129079905 hasConceptScore W3129079905C112972136 @default.
- W3129079905 hasConceptScore W3129079905C119857082 @default.
- W3129079905 hasConceptScore W3129079905C121332964 @default.
- W3129079905 hasConceptScore W3129079905C125014702 @default.
- W3129079905 hasConceptScore W3129079905C127413603 @default.
- W3129079905 hasConceptScore W3129079905C133731056 @default.
- W3129079905 hasConceptScore W3129079905C154945302 @default.
- W3129079905 hasConceptScore W3129079905C2775924081 @default.
- W3129079905 hasConceptScore W3129079905C41008148 @default.
- W3129079905 hasConceptScore W3129079905C47446073 @default.
- W3129079905 hasConceptScore W3129079905C50644808 @default.
- W3129079905 hasConceptScore W3129079905C57879066 @default.
- W3129079905 hasConceptScore W3129079905C98045186 @default.
- W3129079905 hasLocation W31290799051 @default.
- W3129079905 hasOpenAccess W3129079905 @default.
- W3129079905 hasPrimaryLocation W31290799051 @default.
- W3129079905 hasRelatedWork W10047719 @default.
- W3129079905 hasRelatedWork W10816623 @default.
- W3129079905 hasRelatedWork W11706696 @default.
- W3129079905 hasRelatedWork W12783931 @default.
- W3129079905 hasRelatedWork W3289701 @default.
- W3129079905 hasRelatedWork W3531763 @default.
- W3129079905 hasRelatedWork W4990209 @default.
- W3129079905 hasRelatedWork W8074931 @default.
- W3129079905 hasRelatedWork W9948832 @default.
- W3129079905 hasRelatedWork W2305095 @default.
- W3129079905 isParatext "false" @default.
- W3129079905 isRetracted "false" @default.
- W3129079905 magId "3129079905" @default.
- W3129079905 workType "book-chapter" @default.