Nonlinear Predictive Control Using Wiener Models

Discover the innovative insights in "Nonlinear Predictive Control Using Wiener Models" by Maciej Ławryńczuk, published by Springer Nature Switzerland AG in 2022. This comprehensive 343-page paperback delves into the classical model predictive control (MPC) approach for managing dynamical systems characterized by the Wiener model. While the traditional method employs an inverse static block to mitigate the effects of process nonlinearity, this book highlights the limitations of the model's structure, especially in scenarios involving imperfect models and disturbances. Ideal for professionals and researchers in control engineering, this book provides a critical examination of current methodologies and paves the way for advancements in predictive control strategies. Enhance your understanding of nonlinear systems and improve your control quality with this essential resource.