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This book provides a detailed description of the application of advanced mathematical modeling and control methods for the optimization of biomedical systems such as leukaemia, anesthesia and diabetes.

Part I presents a theoretical description related to mathematical models as well as multi-parametric control and predictive control and Part II the application of these theories in crucial biomedical issues such as the optimization of anesthesia, chemotherapy treatment for leukaemia and treatment of diabetes.

The reader will gain an understanding of in-depth advanced...

Led by a well-known expert in the field, this self-contained book features comprehensive coverage of multi-parametric optimization and control. The authors provide state-of-the-art coverage of the most recent methodological developments for optimal model-based control via parametric optimization. Each chapter consists of a theoretical treatment of the topic along with a relevant case study, allowing for the topical complexity to gradually increase throughout. Each case study describes the needed methods and illustrates real-world applications, aiding readers in gaining a better understanding...

This book presents a comprehensive optimization-based theory and framework that exploits the synergistic interactions and tradeoffs between process design and operational decisions that span different time scales. Conventional methods in the process industry often isolate decision making mechanisms with a hierarchical information flow to achieve tractable problems, risking suboptimal, even infeasible operations. In this book, foundations of a systematic model-based strategy for simultaneous process design, scheduling, and control optimization is detailed to achieve reduced cost and improved...