Matches in SemOpenAlex for { <https://semopenalex.org/work/W2942896653> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2942896653 abstract "Decoupling control is widely applied to multi-input multi-output industrial processes. The traditional decoupling control methods are based on accurate models, however it is difficult or impossible to obtain accurate models in practice. Moreover, the traditional decoupling control methods are not suitable for the analysis of the couplings among system outputs which are subjected to the random noises. To solve the problems mentioned above, we will look into the decoupling control problem in probability sense.To describe this control problem, probabilistic decoupling has been presented as a novel concept based on statistical independence. Using probability theory, a set of new control objectives has been extended by this presented concept. Conditions of probabilistic complete decoupling are given. Meanwhile, the relationship between the traditional decoupling and probabilistic decoupling has been analyzed in this thesis, theoretically.To achieve the control objectives of probabilistic decoupling, various control algorithms are developed for dynamic multi-variable stochastic systems, which are represented by linear stochastic models, bilinear stochastic models and stochastic nonlinear models, respectively. For linear stochastic models subjected to Gaussian noises, the covariance control theory has been used. The Output-feedback stabilization via block backstepping design has been considered for bilinear stochastic systems subjected to Gaussian noises. Furthermore, the minimum mutual information control has been proposed for stochastic nonlinear systems subjected to non-Gaussian noises.Some advanced topics are also considered in this thesis. The stochastic feedback linearization can be applied to a class of stochastic nonlinear systems and the reduced-order closed-form covariance control models are also presented, which can be applied in covariance control theory. Using kernel density estimation, data-based minimum mutual information control is given to extend the presented minimum mutual information control algorithm." @default.
- W2942896653 created "2019-05-09" @default.
- W2942896653 creator A5027994683 @default.
- W2942896653 date "2016-06-24" @default.
- W2942896653 modified "2023-09-28" @default.
- W2942896653 title "Probabilistic decoupling for dynamic multi-variable stochastic systems" @default.
- W2942896653 hasPublicationYear "2016" @default.
- W2942896653 type Work @default.
- W2942896653 sameAs 2942896653 @default.
- W2942896653 citedByCount "0" @default.
- W2942896653 crossrefType "dissertation" @default.
- W2942896653 hasAuthorship W2942896653A5027994683 @default.
- W2942896653 hasConcept C105795698 @default.
- W2942896653 hasConcept C121332964 @default.
- W2942896653 hasConcept C126255220 @default.
- W2942896653 hasConcept C127413603 @default.
- W2942896653 hasConcept C133731056 @default.
- W2942896653 hasConcept C154945302 @default.
- W2942896653 hasConcept C158622935 @default.
- W2942896653 hasConcept C163716315 @default.
- W2942896653 hasConcept C170131372 @default.
- W2942896653 hasConcept C178650346 @default.
- W2942896653 hasConcept C205606062 @default.
- W2942896653 hasConcept C2775924081 @default.
- W2942896653 hasConcept C33923547 @default.
- W2942896653 hasConcept C41008148 @default.
- W2942896653 hasConcept C47446073 @default.
- W2942896653 hasConcept C49937458 @default.
- W2942896653 hasConcept C62520636 @default.
- W2942896653 hasConcept C91575142 @default.
- W2942896653 hasConceptScore W2942896653C105795698 @default.
- W2942896653 hasConceptScore W2942896653C121332964 @default.
- W2942896653 hasConceptScore W2942896653C126255220 @default.
- W2942896653 hasConceptScore W2942896653C127413603 @default.
- W2942896653 hasConceptScore W2942896653C133731056 @default.
- W2942896653 hasConceptScore W2942896653C154945302 @default.
- W2942896653 hasConceptScore W2942896653C158622935 @default.
- W2942896653 hasConceptScore W2942896653C163716315 @default.
- W2942896653 hasConceptScore W2942896653C170131372 @default.
- W2942896653 hasConceptScore W2942896653C178650346 @default.
- W2942896653 hasConceptScore W2942896653C205606062 @default.
- W2942896653 hasConceptScore W2942896653C2775924081 @default.
- W2942896653 hasConceptScore W2942896653C33923547 @default.
- W2942896653 hasConceptScore W2942896653C41008148 @default.
- W2942896653 hasConceptScore W2942896653C47446073 @default.
- W2942896653 hasConceptScore W2942896653C49937458 @default.
- W2942896653 hasConceptScore W2942896653C62520636 @default.
- W2942896653 hasConceptScore W2942896653C91575142 @default.
- W2942896653 hasLocation W29428966531 @default.
- W2942896653 hasOpenAccess W2942896653 @default.
- W2942896653 hasPrimaryLocation W29428966531 @default.
- W2942896653 hasRelatedWork W1555556024 @default.
- W2942896653 hasRelatedWork W1574819931 @default.
- W2942896653 hasRelatedWork W1965471086 @default.
- W2942896653 hasRelatedWork W2013999463 @default.
- W2942896653 hasRelatedWork W2020357499 @default.
- W2942896653 hasRelatedWork W2123916747 @default.
- W2942896653 hasRelatedWork W2137732769 @default.
- W2942896653 hasRelatedWork W2143616548 @default.
- W2942896653 hasRelatedWork W2312151074 @default.
- W2942896653 hasRelatedWork W2520851130 @default.
- W2942896653 hasRelatedWork W2567760106 @default.
- W2942896653 hasRelatedWork W2620865147 @default.
- W2942896653 hasRelatedWork W2661989547 @default.
- W2942896653 hasRelatedWork W2725777658 @default.
- W2942896653 hasRelatedWork W2963538546 @default.
- W2942896653 hasRelatedWork W2982129084 @default.
- W2942896653 hasRelatedWork W3044790126 @default.
- W2942896653 hasRelatedWork W108562654 @default.
- W2942896653 hasRelatedWork W1576862777 @default.
- W2942896653 hasRelatedWork W3045752705 @default.
- W2942896653 isParatext "false" @default.
- W2942896653 isRetracted "false" @default.
- W2942896653 magId "2942896653" @default.
- W2942896653 workType "dissertation" @default.