Design of adaptive pitch and depth control system for  Autonomous underwater vehicles AUVs by integrating type 2  fuzzy logic and PID controller and enhancement using deep  reinforcement learning to avoid collision

dc.contributor.guide	Puttamadappa C
dc.coverage.spatial
dc.creator.researcher	Devjani Bhattacharya
dc.date.accessioned	2025-01-30T08:16:55Z
dc.date.available	2025-01-30T08:16:55Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2016
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/618725
dc.language	English
dc.publisher.institution	Department of Electronics and Communication Engineering
dc.publisher.place	Bangalore
dc.publisher.university	Dayananda Sagar University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Design of adaptive pitch and depth control system for Autonomous underwater vehicles AUVs by integrating type 2 fuzzy logic and PID controller and enhancement using deep reinforcement learning to avoid collision
dc.title.alternative
dc.type.degree	Ph.D.