Computationally Efficient Model Predictive Control Algorithms A Neural Network Approach

“The book represents a good read for those wishing to study and implement Model Predictive Control (MPC) algorithms based on neural network type models. … The presentation of the material in the book is pedagogical and includes the ‘prototype’ nonlinear MPC problem, which is seen as an ‘ideal’ for suboptimal schemes issues from the linearization-based approaches.” (Sorin Olaru, Mathematical Reviews, April, 2017)

“This is a monographic work that reflects a large experience in the exploitation of neural network scenarios for Model Predictive Control (MPC). The book providesa rigorous and self-contained material for some key theoretical topics, accompanied by the description of the associated algorithms. … The exposition is suitable for graduate studies or specialized research stages and requires a medium level of training in control systems engineering.” (Octavian Pastravanu, zbMATH 1330.93002, 2016)