… on the design of model predictive control (MPC) … prediction model is developed to achieve
closed-loop state boundedness and convergence to the origin. Additionally, machine learning …

… model predictive control systems. In this work, we employ statistical machine learning theory
… The RNN models are then utilized to predict state evolution in model predictive controllers (…

… We present a machine learning-based predictive control scheme that integrates an online
… system, for which Lyapunov-based model predictive control (LMPC) is utilized to drive the …

… based control strategies such as model predictive control (MPC) for building comfort control
… and implementation setup of the model predictive controller (MPC) considered in this paper. …

… predictive control (NMPC) are a long-standing issue and, among other methods, learning the
control policy with machine learning (ML… based on learning the optimal control policy by an …

… predictive control problems for nonlinear systems in several research works.1-3 In the
first article of this series, an RNN-based model predictive control (… and advanced machine-learning …

… Learning Optimal Control”, “Deep Learning Predictive Control” and “Machine Learning
Predictive Control… that centered on non-predictive optimal control methods were excluded. Then, …

… prediction horizon approach based on machine learning is presented for the finite control
set model predictive control (… Usually, in FCS-MPC, the prediction horizon is kept constant. A …

… the process model that will be used in a model predictive controller (MPC). We first discuss
the … -based model predictive controller with state measurements corrupted by industrial noise. …

… , as compared to their respective original control. Meanwhile, the indoor thermal comfort …
predictive control system. Developing a model predictive control system using machine-learning-…