Multi-parametric Optimization and Control
Multi-parametric Optimization and Control
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Recent developments in multi-parametric optimization and control are covered in this book, which provides an overview of the state-of-the-art theory and algorithms in multi-parametric programming, examines the connection between multi-parametric programming and model-predictive control, and addresses multi-parametric optimization in process systems engineering. It also includes case studies to illustrate real-world applications and a summary of the history of multi-parametric optimization algorithms.
Format: Hardback
Length: 320 pages
Publication date: 04 January 2021
Publisher: John Wiley and Sons Ltd
Recent advancements in multi-parametric optimization and control have revolutionized the field of optimal model-based control through parametric optimization. This comprehensive book offers a thorough exploration of these developments, providing a deep understanding of the methodologies employed. It also showcases real-world research applications to reinforce the theoretical concepts.
Designed for researchers and practitioners alike, this book serves as a valuable reference and can be used as a primary or supplementary textbook. Each chapter delves into the theories related to a specific topic, accompanied by a relevant case study. The complexity of the topics gradually increases as readers progress through the chapters, ensuring a gradual learning experience.
The first part of the book provides an overview of the state-of-the-art multi-parametric optimization theory and algorithms in multi-parametric programming. It covers topics such as linear programming, quadratic programming, mixed-integer linear programming, optimal control of continuous systems, and multi-parametric optimization. This section lays the foundation for the subsequent chapters.
The second part of the book examines the connection between multi-parametric programming and model-predictive control. It explores various applications, ranging from linear quadratic regulators over hybrid systems to periodic systems and robust control. The authors provide detailed explanations and examples to illustrate the practical implications of these concepts.
The third part of the book focuses on multi-parametric optimization in process systems engineering. It introduces a step-by-step procedure for embedding programming within the system engineering framework, leading the reader into the topic of the PAROC framework and software platform. PAROC is an integrated framework and platform for the optimization and advanced model-based control of process systems.
Throughout the book, real-world case studies are used to illustrate the practical applications of the concepts presented. These case studies help to deepen the reader's understanding of the topics and provide a hands-on experience of applying optimization and control techniques in real-world scenarios.
In addition to its theoretical and practical aspects, the book covers the fundamentals of optimization and model predictive control. It provides a comprehensive introduction to key topics such as the basic sensitivity theorem, linear programming, quadratic programming, mixed-integer linear programming, and optimal control of continuous systems.
Whether you are a student, researcher, or practitioner in the field of optimization and control, this book is an essential resource. It offers a comprehensive and up-to-date coverage of the latest developments, providing you with the knowledge and tools needed to excel in your endeavors.
Weight: 532g
Dimension: 153 x 223 x 20 (mm)
ISBN-13: 9781119265184
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