Nonlinear Model Predictive Control: Theory and Algorithms

Lars Grüne and Jürgen Pannek present an insightful examination of nonlinear model predictive control, a vital area in modern control theory. The authors meticulously delve into both the theoretical foundations and practical algorithms that underline this dynamic field, making it accessible to a wide audience, from students to seasoned researchers.

With a focus on real-world applications, the book emphasizes the importance of model accuracy and the complexities involved in predicting system behavior nonlinearly. Grüne and Pannek's systematic approach provides readers with a clear understanding of how to implement these advanced control strategies effectively.

The chapters are structured to guide readers through the nuances of the subject, discussing critical concepts such as stability, optimization, and computational techniques. This comprehensive resource is ideal for anyone looking to deepen their knowledge of advanced control systems and their applications in various engineering domains.