Browsing by Author "ElQemmah, Ayman"

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    Cooperative Distributed Command Governor Strategies for Surface Marine Vehicles
    (Università della Calabria, 2025-02-26) ElQemmah, Ayman; Fortino, Giancarlo; Tedesco, Francesco
    Thedeploymentofswarmingsurfacemarinevehicleoffersnumerousad- vantagesinaquaticenvironments,includingoperationalflexibility,taskand environmentaladaptability,resilience,andscalability.Inthiscontext,coor- dinationtogetherwiththesatisfactionofactuator,state,safety constraints becomesessentialtoenhanceautonomy.Meetingthisdemandischallenging: whileadvancedtechniqueshavebeenproposed,manyofthemarecomplex and/ornecessitatefrequentreplanning,whichcannegativelyimpactperfor- manceandcomputationalintensity.Therefore,readilyimplementableandlow computationallydemandingstrategiesarerequired. Thisdissertationpresents: i) aclassofnoveldistributedsupervisionstrate- giesappliedtomarinesurfacemulti-vehiclessystemstoaddresscoordination problems, ii) anovelsupervisionschemethatbypassestheneedforexplicit modelingand iii) experimentalvalidationofdistributedsupervisionstrategies. ByresortingtoCommandGovernor(CG)ideas,predictivesupervision algo- rithmsareemployedtoeffectivelydealwiththeabovementionedsupervision problems. WhiletraditionaldistributedCGstrategieshaveanon-cooperativeap- proach,inthisdissertationtwodistributedschemesthatpromote cooperation amongagentsareintroduced.Initially,consideringthecomputationallyde- mandingnatureofcooperativeapproaches,themainideaconsists ofleverag- inganon-cooperativenon-iterativesolution,andenhancingitto inducecoop- erationbetweenagents,thuspreservingthelowcomputationalburden. Forthis reason,theresultingschemeisreferredtoas“Cooperation-inducing.”Sub- sequently,inspiredbyadistributedoptimizationalgorithmfrom literature, a moregeneraldistributedapproachthatallowsagentstocomputeanear- optimalcentralizedsolution,isfullydescribedandanalyzed. Inthisrespect, wheretheresultingschemeisreferredtoas“Cooperative,”agentsexchange onlyauxiliaryvariables,thusensuringprivacypreservation.Thedevelopment ofbothschemesenablestheselectionofthemostsuitableapproachbased on specificapplicationrequirements. Concurrently,toaddressthechallengeofsolvingtheCGdesignproblem whenanexplicitmodelrepresentationisnotavailable,anapproachreferredto as“Data-Driven,”ispresented.Thisalternativetothemodel-basedapproach avoidstheneedfortime-consumingmodeling,identification,and validation phasesand,unlikeotherexistingapproaches,doesnotrequireanewdata collectionamidstcontrollermodifications. Finally,withtheaimofevaluatingcomputationalperformances andim- plementabilityofCG-baseddistributedstrategiesonmarinesurfacevehicles, severalexperimentalresultsinvariousenvironmentsarepresented.These re- sultsareobtainedusingprototypesofhighlymaneuverablemarinesurface vehicles,followingacomprehensivedesign,identification,validation,control, anddeploymentprocess.