Nonlinear Predictive Control Using Wiener Models

Discover the innovative world of control systems with "Nonlinear Predictive Control Using Wiener Models" by Maciej Ławryńczuk, published by Springer Nature Switzerland AG in 2021. This insightful book, spanning 343 pages, delves into the classical model predictive control (MPC) approach, specifically tailored for dynamical systems represented by the Wiener model.

Ławryńczuk addresses the limitations of traditional methods, which often rely on inverse static blocks to mitigate the effects of process nonlinearity. He explores the challenges posed by imperfect models and external disturbances, providing readers with a comprehensive understanding of how to enhance control quality in these scenarios.

This 2022 edition is a must-read for professionals and students alike, offering practical insights and advanced techniques in nonlinear predictive control. Elevate your knowledge and skills in this critical area of engineering and control theory.