Matches in SemOpenAlex for { <https://semopenalex.org/work/W1984715806> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W1984715806 abstract "Robust estimation generally refers to the process of identifying the most probable set of parameters in the presence of wild points or outliers in the measurement. But besides removing the influence of outliers a robust estimator should also return the most probable set of parameters even when multiple minima in the cost function are there. When minima are almost of the same order this requirement amounts to finding out the minimum value with the largest basin of attraction. Traditional optimization algorithms are not very suitable for robust estimators because cost function obtained with various robust estimation norms may not have continuous first and second derivatives with respect to parameters. This precludes the possibility of using many of the traditional optimization algorithms. Also when multiple minima exist the convergence of traditional algorithm to a particular solution depends largely on the initial guess. In this scenario optimization tools based on evolutionary algorithms can be a very attractive option. Evolutionary algorithms require only function value evaluations and through population based approach the dependence on an initial guess to converge to a particular solution is overcome. Here a new method for the robust estimation of propulsion parameters using evolutionary optimization techniques is proposed. There are both, equality and inequality constraints, to take into account the expected range of deviations in parameters. The method incorporates GA in C, which is an optimization code based on evolutionary algorithms and is developed at KANGAL, Indian Institute of Technology, Kanpur. The method has been tested with various robust estimation norms using simulated data for a typical solid motor in the presence of multiple minima in the cost function. The proposed method has been able to estimate propulsions parameters in all the cases successfully." @default.
- W1984715806 created "2016-06-24" @default.
- W1984715806 creator A5014057901 @default.
- W1984715806 creator A5035279885 @default.
- W1984715806 creator A5035915615 @default.
- W1984715806 creator A5071670627 @default.
- W1984715806 creator A5083182716 @default.
- W1984715806 date "2003-09-29" @default.
- W1984715806 modified "2023-10-16" @default.
- W1984715806 title "Robust Estimation of Propulsion parameters using Optimization Techniques based on Evolutionary Algorithms" @default.
- W1984715806 doi "https://doi.org/10.2514/6.iac-03-a.p.29" @default.
- W1984715806 hasPublicationYear "2003" @default.
- W1984715806 type Work @default.
- W1984715806 sameAs 1984715806 @default.
- W1984715806 citedByCount "0" @default.
- W1984715806 crossrefType "proceedings-article" @default.
- W1984715806 hasAuthorship W1984715806A5014057901 @default.
- W1984715806 hasAuthorship W1984715806A5035279885 @default.
- W1984715806 hasAuthorship W1984715806A5035915615 @default.
- W1984715806 hasAuthorship W1984715806A5071670627 @default.
- W1984715806 hasAuthorship W1984715806A5083182716 @default.
- W1984715806 hasConcept C105795698 @default.
- W1984715806 hasConcept C11413529 @default.
- W1984715806 hasConcept C126255220 @default.
- W1984715806 hasConcept C127413603 @default.
- W1984715806 hasConcept C134306372 @default.
- W1984715806 hasConcept C144024400 @default.
- W1984715806 hasConcept C146978453 @default.
- W1984715806 hasConcept C149923435 @default.
- W1984715806 hasConcept C154945302 @default.
- W1984715806 hasConcept C159149176 @default.
- W1984715806 hasConcept C162324750 @default.
- W1984715806 hasConcept C185429906 @default.
- W1984715806 hasConcept C186633575 @default.
- W1984715806 hasConcept C204323151 @default.
- W1984715806 hasConcept C2777303404 @default.
- W1984715806 hasConcept C2908647359 @default.
- W1984715806 hasConcept C33923547 @default.
- W1984715806 hasConcept C41008148 @default.
- W1984715806 hasConcept C50522688 @default.
- W1984715806 hasConcept C79337645 @default.
- W1984715806 hasConceptScore W1984715806C105795698 @default.
- W1984715806 hasConceptScore W1984715806C11413529 @default.
- W1984715806 hasConceptScore W1984715806C126255220 @default.
- W1984715806 hasConceptScore W1984715806C127413603 @default.
- W1984715806 hasConceptScore W1984715806C134306372 @default.
- W1984715806 hasConceptScore W1984715806C144024400 @default.
- W1984715806 hasConceptScore W1984715806C146978453 @default.
- W1984715806 hasConceptScore W1984715806C149923435 @default.
- W1984715806 hasConceptScore W1984715806C154945302 @default.
- W1984715806 hasConceptScore W1984715806C159149176 @default.
- W1984715806 hasConceptScore W1984715806C162324750 @default.
- W1984715806 hasConceptScore W1984715806C185429906 @default.
- W1984715806 hasConceptScore W1984715806C186633575 @default.
- W1984715806 hasConceptScore W1984715806C204323151 @default.
- W1984715806 hasConceptScore W1984715806C2777303404 @default.
- W1984715806 hasConceptScore W1984715806C2908647359 @default.
- W1984715806 hasConceptScore W1984715806C33923547 @default.
- W1984715806 hasConceptScore W1984715806C41008148 @default.
- W1984715806 hasConceptScore W1984715806C50522688 @default.
- W1984715806 hasConceptScore W1984715806C79337645 @default.
- W1984715806 hasLocation W19847158061 @default.
- W1984715806 hasOpenAccess W1984715806 @default.
- W1984715806 hasPrimaryLocation W19847158061 @default.
- W1984715806 hasRelatedWork W1880866131 @default.
- W1984715806 hasRelatedWork W2000976787 @default.
- W1984715806 hasRelatedWork W2038269312 @default.
- W1984715806 hasRelatedWork W2102559904 @default.
- W1984715806 hasRelatedWork W2123722903 @default.
- W1984715806 hasRelatedWork W2129773030 @default.
- W1984715806 hasRelatedWork W2157542022 @default.
- W1984715806 hasRelatedWork W2566493394 @default.
- W1984715806 hasRelatedWork W2887309774 @default.
- W1984715806 hasRelatedWork W4294811723 @default.
- W1984715806 isParatext "false" @default.
- W1984715806 isRetracted "false" @default.
- W1984715806 magId "1984715806" @default.
- W1984715806 workType "article" @default.