Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks
Artificial neural networks (ANN), an Artificial Intelligence (AI) technique, are both bio-inspired and nature-inspired models that mimic the operations of the human brain and the central nervous system that is capable of learning. This paper is based on a system that optimizes the performance of an...
Saved in:
| Main Authors: | Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Akif AKGUL
2024-03-01
|
| Series: | Chaos Theory and Applications |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/3531375 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design of an Optimal SMC Controller for a Twin Rotor Aerodynamic System
by: Marwa Rasheed Ali, et al.
Published: (2025-03-01) -
COMPUTATIONAL STUDY OF AERODYNAMIC CHARACTERISTICS OF SINGLE-ROTOR HELICOPTER TAIL ROTOR UNDER THE INFLUENCE OF VORTICAL WAKE OF MAIN ROTOR AT THE HOVER WITH CROSSWIND
by: Yu. M. Ignatkin, et al.
Published: (2017-01-01) -
Topic modeling-based prediction of software defects and root cause using BERTopic, and multioutput classifier
by: Devi Priya Gottumukkala, et al.
Published: (2025-07-01) -
Aerodynamic Analysis of a Hexacopter with an Inner Tilted-Rotor Configuration During Hovering
by: Yao Lei, et al.
Published: (2025-04-01) -
Computational studies of the rotors aerodynamic characteristics of multirotor drones
by: K. G. Kosushkin, et al.
Published: (2021-11-01)