Nikolaos A. Diangelakis – författare
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3 produkter
3 produkter
Inbunden, Engelska, 2021
1 433 kr
Skickas inom 5-8 vardagar
Recent developments in multi-parametric optimization and controlMulti-Parametric Optimization and Control provides comprehensive coverage of recent methodological developments for optimal model-based control through parametric optimization. It also shares real-world research applications to support deeper understanding of the material.Researchers and practitioners can use the book as reference. It is also suitable as a primary or a supplementary textbook. Each chapter looks at the theories related to a topic along with a relevant case study. Topic complexity increases gradually as readers progress through the chapters. The first part of the book presents an overview of the state-of-the-art multi-parametric optimization theory and algorithms in multi-parametric programming. The second examines the connection between multi-parametric programming and model-predictive control—from the linear quadratic regulator over hybrid systems to periodic systems and robust control.The third part of the book addresses multi-parametric optimization in process systems engineering. A step-by-step procedure is introduced for embedding the programming within the system engineering, which leads 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. Uses case studies to illustrate real-world applications for a better understanding of the concepts presentedCovers the fundamentals of optimization and model predictive controlProvides information on key topics, such as the basic sensitivity theorem, linear programming, quadratic programming, mixed-integer linear programming, optimal control of continuous systems, and multi-parametric optimal controlAn appendix summarizes the history of multi-parametric optimization algorithms. It also covers the use of the parametric optimization toolbox (POP), which is comprehensive software for efficiently solving multi-parametric programming problems.
Häftad, Engelska, 2020
646 kr
Skickas inom 10-15 vardagar
These tools are used to systematically evaluate the tradeoffs between different time-scale decisions based on a single high-fidelity model, as demonstrated on (i) design and control, (ii) scheduling and control, and (iii) design, scheduling, and control problems.
- Nyhet
Inbunden, Engelska, 2026
592 kr
Skickas inom 10-15 vardagar
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. The authors explain how 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. This book details the foundations of systematic model based strategies for simultaneous process design, scheduling, and control optimization to achieve reduced cost and improved energy consumption in process systems. The authors approach the following questions: When does the need for such an integration of scales arise? Which types of industrially relevant problems and applications can be considered for such an approach? Where do we stand regarding methodological developments and solution strategies as enablers and tools for such an integration? If desired, what would be the ideal framework and potentially the target software platform for achieving such a unification? This Second Edition includes developments in methodological approaches and software platform unification, as well as discussion on the need for integration.