Researchers developed a comprehensive dynamic model and demonstrated that an adaptive neuro-fuzzy inference controller outperforms conventional PID control across complex ...
Researchers demonstrated that a deep deterministic policy gradient framework improves trajectory tracking accuracy in simulated five-degree-of-freedom robotic arms over conventional ...
Researchers have demonstrated in computer simulations that integrating an adaptive neuro-fuzzy inference system into an active disturbance rejection control framework ...
Researchers developed an intelligent predictive control architecture that recursively solves matrix Diophantine equations to balance autonomous two-wheeled robots experiencing disturbances ...
