UAV adaptive control based on AI to transfer the energy wirelessly. / Djelmani Nadir

Public ISBD Titre : UAV adaptive control based on AI to transfer the energy wirelessly. Type de document : texte manuscrit Auteurs : Djelmani Nadir, Auteur ; Omar Sami Oubbati, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'électronique Année de publication : 2021 Importance : 50p. Format : 30cm. Note générale : SPECIALTY: Electronics of embedded systems Langues : Anglais Résumé : This thesis aims to configure a set-up for UAV self-controlling without human intervention and no prior information about the environment to recharge IoT devices wirelessly, so they continue to operate for as long as possible. IoT devices have become more popular and widespread, and their involvement is crucial in many fields. Also, they can provide a multitude of services to enhance human lives. As challenges, UAV is supposed to explore the environment to get more information about it continuously, and therefore we should carefully minimize its energy consumption to avoid its possible failure. As a solution, an AI-based algorithm called Q-learning is adopted to optimize the movement of the UAV and enhance the energy transfer toward the IoT devices. note de thèses : mémoire de master électronique UAV adaptive control based on AI to transfer the energy wirelessly. [texte manuscrit] / Djelmani Nadir, Auteur ; Omar Sami Oubbati, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'électronique, 2021 . - 50p. ; 30cm. SPECIALTY: Electronics of embedded systems Langues : Anglais Résumé : This thesis aims to configure a set-up for UAV self-controlling without human intervention and no prior information about the environment to recharge IoT devices wirelessly, so they continue to operate for as long as possible. IoT devices have become more popular and widespread, and their involvement is crucial in many fields. Also, they can provide a multitude of services to enhance human lives. As challenges, UAV is supposed to explore the environment to get more information about it continuously, and therefore we should carefully minimize its energy consumption to avoid its possible failure. As a solution, an AI-based algorithm called Q-learning is adopted to optimize the movement of the UAV and enhance the energy transfer toward the IoT devices. note de thèses : mémoire de master électronique

Réservation

Réserver ce document

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
Thc 09-59	Thc 09-59	Thése	BIBLIOTHEQUE DE FACULTE DE TECHNOLOGIE	Genie electrique (TEC)	Disponible

---

page 1/1