Optimal Controller Design for a Mobile Robot Using Genetic Algorithm and Adaptive PID Controller
This paper addresses the challenge of enabling a mobile robot to reach target coordinates and posture in minimal time by tackling the complexities of kinematic optimal control problems. Determining optimal control gains is analytically challenging, especially when incorporating dynamic models. The m...
Saved in:
| Main Author: | Jin-Hyun Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11005461/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
GO-GASA: Grid Optimization Genetic A* Algorithm for Mobile Robots Path Planning Utilizing Grid Optimization
by: Lishu Qin, et al.
Published: (2025-01-01) -
Fuzzy Adaptive Control for a 4-DOF Hand Rehabilitation Robot
by: Paul Tucan, et al.
Published: (2025-07-01) -
A review on control systems hardware and software for robots of various scale and purpose. Part 1. Industrial robotics
by: A. M. Romanov
Published: (2019-10-01) -
Design of Fractional–PID Controller Based on Grey Wolf Optimization for Robotic Manipulator
by: Ahmed A. Oglah, et al.
Published: (2025-08-01) -
UAVs's efficient controlled mobility management for mobile heterogeneous wireless sensor networks
by: Lyamine Guezouli, et al.
Published: (2022-06-01)