A novel design of a neural network‐based fractional PID controller for mobile robots using hybridized fruit fly and particle swarm optimization
GAR Ibraheem, AT Azar, IK Ibraheem, AJ Humaidi - Complexity, 2020 - Wiley Online Library
The design of a swarm optimization‐based fractional control for engineering application is
an active research topic in the optimization analysis. This work offers the analysis, design …
an active research topic in the optimization analysis. This work offers the analysis, design …
[PDF][PDF] Autonomous Navigation for Mobile Robots in Crowded Environments
S Primatesta - 2019 - phd-dauin.polito.it
Autonomous Navigation for Mobile Robots in Crowded Environments Page 1 Autonomous
Navigation for Mobile Robots in Crowded Environments Challenges with ground and aerial …
Navigation for Mobile Robots in Crowded Environments Challenges with ground and aerial …
[PDF][PDF] Autonomous Navigation for Mobile Robots in Complex and Crowded Environments
S Primatesta - phd-dauin.polito.it
PhD in Computer and Control Engineering Poster Page 1 POLITECNICO DI TORINO
Dipartimento di Automatica e Informatica PhD in Computer and Control Engineering Supervisor …
Dipartimento di Automatica e Informatica PhD in Computer and Control Engineering Supervisor …
[PDF][PDF] Cloud-Based UAVs Traffic Management: Registration, identification and monitoring
E Stabile - 2018 - webthesis.biblio.polito.it
Abstract «««< HEAD Drones economy has been steadily growing in the last years, together
with the interest in this fascinating technology. They can be used in several fields, with new …
with the interest in this fascinating technology. They can be used in several fields, with new …
[PDF][PDF] Cloud-Based UASs Traffic Management: Trajectory Tracking & Collision Avoidance
F Polia - 2018 - webthesis.biblio.polito.it
Employing unmanned aerial systems (UAS) inside cities to perform different types of
operations would definitely bring huge benefits. However allowing such operations requires …
operations would definitely bring huge benefits. However allowing such operations requires …
State estimation and trajectory planning using box particle kernels
N Merlinge - 2018 - theses.hal.science
State estimation and trajectory planning are two crucial functions for autonomous systems,
and in particular for aerospace vehicles. Particle filters and sample-based trajectory …
and in particular for aerospace vehicles. Particle filters and sample-based trajectory …