Scientific Research Publishing

Hybrid Deep Reinforcement Learning and Model Predictive Control for Microgrids ()

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
IEEE

Modified Model-Free Predictive Control for Reliable Operation of Multiple Parallel Grid-Forming Inverters

Abstract: The increasing integration of parallel grid-forming (GFM) inverters within islanded AC microgrids introduces significant challenges in maintaining robust voltage regulation and accurate ...
IEEE

Verification of Explicit Model Predictive Control Through Double-Lane-Change Maneuver

Abstract: In this paper, we analyze and verify explicit model predictive control (MPC) through the automated double-lane-change (DLC) maneuver by employing MATLAB/Simulink and CarSim. MPC has become a ...
C&EN

Neural Network-Based Hammerstein Model Identification of a Lab-Scale Batch Reactor

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
Frontiers

Composite model predictive control for the boost converter and two-phase interleaved boost converter

This article compares the conventional model predictive control (MPC) and active disturbance rejection control (ADRC) with a novel MPADRC technique for controlling a non-minimum phase behavior in the ...
Frontiers

Improved nonlinear generalized model predictive control for robustness and power enhancement of a DFIG-based wind energy converter

Many studies have been made on the double-fed induction generator wind turbine system (DFIG-WTS) in recent decades due to its power management capability, speed control operation, low converter cost, ...