Secure Bidirectional Wireless Control of a DC Motor Using 4D Chaotic Systems Based on a Self-Organizing Double Function-Link Brain Emotional Learning Controller Optimized by Genetic Algorithm and Disturbance Observer
Key Points
The implementation of chaotic systems ensures secure bidirectional control and stability of the DC motor.
Performance improvements are noted with a disturbance observer, which reduces error in the system dynamics.
Assessment of control strategies includes the use of a genetic algorithm for optimizing the self-organizing controller.
Significance lies in the enhanced reliability and security of wireless control systems in practical applications.
Secure Bidirectional Wireless Control of a DC Motor Using 4D Chaotic Systems Based on a Self-Organizing Double Function-Link Brain Emotional Learning Controller Optimized by Genetic Algorithm and Disturbance Observer | Synapse