This study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control …
To benefit from the advantages of Reinforcement Learning (RL) in industrial control applications, RL methods can be used for optimal tuning of the classical controllers based …
Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures …
This study demonstrates the utilization of model reference adaptive control (MRAC) for closed-loop fractional-order PID (FOPID) control of a magnetic levitation (ML) system …
Real control systems require robust control performance to deal with unpredictable and altering operating conditions of real-world systems. Improvement of disturbance rejection …
The complex v-plane is an emerging design domain for fractional order control system design. Recently, several works demonstrated the advantages of tuning FOPID controllers in …
S Dudhe, DK Dheer, GL Raja - IEEE Transactions on Circuits …, 2024 - ieeexplore.ieee.org
A simple and robust automatic suction pressure control system is designed for a newly developed portable meconium aspirator system (PMAS). From the step response data of the …
This study aims to achieve disturbance rejection and set-point tracking performance while controlling the suction pressure in a Portable Meconium Aspirator System (PMAS) for …
This paper proposes a unique disturbance rejection factor (DRF) based design of direct stable adaptive fuzzy logic controllers (AFLCs) for a class of non‐linear systems with large …