Combined MPC and Dynamic Neural Network-Based UAVs Trajectory Tracking Control-Reference-Cited by-同舟云学术

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Combined MPC and Dynamic Neural Network-Based UAVs Trajectory Tracking Control

Published:2023 Issue: Volume:11 Page:145763-145771
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Lei¹^ORCID,Wu Ligang²^ORCID,Lv Yuanyuan³^ORCID,Zhang Zhe³^ORCID

Affiliation:

1. College of Physical and Electronic Sciences, Shanxi Datong University, Datong, China

2. College of Mechanical and Electrical Engineering, Shanxi Datong University, Datong, China

3. College of Coal Engineering, Shanxi Datong University, Datong, China

Funder

Project of Science and Technology Innovation of Higher Education Institutions in Shanxi Province

Project of Scientific Research Fund of Shanxi Datong University

Shanxi Datong University Teaching Reform Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10363171.pdf?arnumber=10363171

Reference26 articles.

1. Kalman Filter-Based Large-Scale Wildfire Monitoring With a System of UAVs

2. UAV-Based Real-Time Survivor Detection System in Post-Disaster Search and Rescue Operations

3. Control Design for UAV Quadrotors via Embedded Model Control

4. Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor

5. Adaptive fast-reaching nonsingular terminal sliding mode tracking control for quadrotor UAVs subject to model uncertainties and external disturbances

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1. Path Planning and Control for Multiagent Traversing Numerous Obstacles;IEEE Transactions on Industrial Electronics;2024

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