A Novel Design of a Neural Network-Based Fractional PID Controller for Mobile Robots Using Hybridized Fruit Fly and Particle Swarm Optimization
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, and simulation of a new neural network- (NN) based nonlinear fractional control structure. With suitable arrangemen...
Saved in:
Main Authors: | Ghusn Abdul Redha Ibraheem, Ahmad Taher Azar, Ibraheem Kasim Ibraheem, Amjad J. Humaidi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/3067024 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Antibacterial and Oxacillin Resistance Reversing Effect of Harmaline in Different Strains of Staphylococcus Aureus
by: Zaid Ibraheem
Published: (2025-01-01) -
CAN CLEAR ALIGNERS THERAPY ACHIEVE MAXILLARY EXPANSION IN PATIENTS WITH TRANSVERSE MALOCCLUSIONS? A SYSTEMATIC REVIEW
by: Ibraheem Bamaga
Published: (2024-12-01) -
Mobile Robot Path Planning Based on Improved Particle Swarm Optimization and Improved Dynamic Window Approach
by: Zhenjian Yang, et al.
Published: (2023-01-01) -
On the stability, chaos and bifurcation analysis of a discrete-time chemostat model using the piecewise constant argument method
by: Ibraheem M. Alsulami
Published: (2024-11-01) -
Optimization of the PID coefficients for the line-follower mobile robot controller employing genetic algorithm
by: T. Yu. Kim, et al.
Published: (2021-12-01)