From PID to swarms: A decade of advancements in drone control and path planning-A systematic review (2013–2023)

B Cetinsaya, D Reiners, C Cruz-Neira - Swarm and Evolutionary …, 2024 - Elsevier
This systematic literature review synthesizes and evaluates existing research on drone
control and path planning, encompassing the principles of swarm intelligence and nature …

Safe hierarchical model predictive control and planning for autonomous systems

M Kögel, M Ibrahim, C Kallies… - International Journal of …, 2023 - Wiley Online Library
Planning and control for autonomous vehicles usually are hierarchically separated.
However, increasing performance demands and operating in highly dynamic environments …

Learning-supported approximated optimal control for autonomous vehicles in the presence of state dependent uncertainties

M Ibrahim, C Kallies, R Findeisen - 2020 European Control …, 2020 - ieeexplore.ieee.org
The control and operation of autonomous systems often involve different decision layers.
The higher control levels are responsible for the planning and perception and operate on a …

Comparative Synthesis of Linear and Optimal Controllers for a Quadcopter Unmanned Aerial Vehicles

M Mamdouh, M Ibrahim, A Sarhan… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (eg quadcopter) has been used in many applications,
eg, search-and-rescue missions, because of its capabilities, eg vertical takeoff and landing …

Comparative Synthesis of Finite and Infinite Optimal Controllers for a Quadcopter with Input Constraints

M Mamdouh, M Ibrahim, A Sarhan… - 2022 4th Novel …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles have been received a great attention in many
applications, eg, exploration, environmental monitoring, and search missions. These tasks …

Energy Demand Analysis for eVTOLs in Cluttered and Dynamic Environments based on Adaptive Trajectory Prediction

N Hagag, S Gasche, F Jäger… - 2024 Integrated …, 2024 - ieeexplore.ieee.org
The increasing interest in passenger transportation by electric vertical take-off and landing
aircraft (eVTOLs) in urban airspace has led to the need for further development of realistic …

Learning-supported and force feedback model predictive control in robotics

J Matschek - 2021 - repo.bibliothek.uni-halle.de
Autonomous dynamical systems enter our daily lives and homes. They appear in the form of
self-driving cars, vacuum cleaning robots, and smart manufacturing cobots. Hence, these …

Multi-Agent Cooperative Path Planning via Model Predictive Control

C Kallies, S Gasche, R Karásek - … , Navigation and Surveillance …, 2024 - ieeexplore.ieee.org
Using swarms consisting of UAV for surveillance, mapping, or search-and-rescue missions
has been of great interest in recent years. To be able to perform the same tasks in an indoor …

Optimized Area Coverage Path Planning In Complex Environment Using Geometric Q Learning Algorithm

M Elfoly, M Ibrahim, H Hendy… - 2024 14th International …, 2024 - ieeexplore.ieee.org
Recently, autonomous vehicles have been used in dynamic environments for various
automation applications, eg, area coverage. Thus these missions require sophisticated …

Continuous-time approximated parametric output-feedback nonlinear model predictive control

C Kallies, M Ibrahim, R Findeisen - IFAC-PapersOnLine, 2021 - Elsevier
Designing predictive controllers for systems with computationally limited embedded
hardware, eg for autonomous vehicles, requires solving an optimization problem in real-time …