
Multi-parametric Optimization and Control
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Multi-parametric Optimization and Control
About this book
Recent developments in multi-parametric optimization and control
Multi-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 presented
- Covers the fundamentals of optimization and model predictive control
- Provides 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 control
An 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.
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Information
Table of contents
- Cover
- Table of Contents
- Wiley Series in
- Title Page
- Copyright
- dedication-page
- Short Bios of the Authors
- Preface
- Part I Multi-parametric Optimization
- Part II Multi-parametric Model Predictive Control
- AAppendix for the mp‐MPC Chapter 10
- Appendix for the mp‐MPC Chapter 11
- Index
- End User License Agreement