This text investigates the theoretical advancements and practical implementation of model-based predictive control (MBPC) in industrial environments where system response times are significantly delayed. David B. Clarke provides a comprehensive overview of the field, synthesizing current algorithmic developments with real-world industrial case studies. The book serves as a technical framework for engineers and researchers to transition from experience-based control methods to rigorous, model-driven predictive strategies.

Experts recognize this work as a technical resource for understanding the transition from heuristic to model-based control systems. Readers frequently note the academic density of the prose, which is intended for professionals and students already familiar with control theory.