Adaptive Neural Network Control and Optimal Path Planning of UAV Surveillance System With Energy Consumption Prediction
A surveillance system is one of the most interesting research topics for an unmanned aerial vehicle (UAV). However, the problem of planning an energy-efficient path for the surveillance purpose while anticipating disturbances and predicting energy consumptions during the path tracking is still a cha...
Main Authors: | Rong-Jong Wai, Alex S. Prasetia |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8819962/ |
Similar Items
-
Path Planning of UAV Based on Improved Adaptive Grey Wolf Optimization Algorithm
by: Wei Zhang, et al.
Published: (2021-01-01) -
Stochastic Trajectory Generation Using Particle Swarm Optimization for Quadrotor Unmanned Aerial Vehicles (UAVs)
by: Babak Salamat, et al.
Published: (2017-05-01) -
Cooperative path planning of USV and UAV swarms under multiple constraints
by: Yueqi HOU, et al.
Published: (2021-02-01) -
Adaptive Operator Quantum-Behaved Pigeon-Inspired Optimization Algorithm with Application to UAV Path Planning
by: Chunhe Hu, et al.
Published: (2018-12-01) -
Multiple Swarm Fruit Fly Optimization Algorithm Based Path Planning Method for Multi-UAVs
by: Kunming Shi, et al.
Published: (2020-04-01)