Abstract: This article proposes model-free reinforcement learning methods for minimum-cost state-flipped control in Boolean control networks (BCNs). We tackle two questions: 1) finding the flipping ...

Abstract: This research represents a comparative study of Load Frequency Control (LFC) using Model Predictive Control (MPC). The results have also been compared with Proportional-Integral-Derivative ...

Coordinating the movements of a robotic fleet using consensus-based techniques is an important problem in achieving the desired goal of a specific task. Although most available techniques developed ...