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Titlebook: Integrated Process Design and Operational Optimization via Multiparametric Programming; Baris Burnak,Nikolaos A. Diangelakis,Efstratios N.

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發(fā)表于 2025-3-21 16:59:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Integrated Process Design and Operational Optimization via Multiparametric Programming
編輯Baris Burnak,Nikolaos A. Diangelakis,Efstratios N.
視頻videohttp://file.papertrans.cn/469/468604/468604.mp4
叢書(shū)名稱(chēng)Synthesis Lectures on Engineering, Science, and Technology
圖書(shū)封面Titlebook: Integrated Process Design and Operational Optimization via Multiparametric Programming;  Baris Burnak,Nikolaos A. Diangelakis,Efstratios N.
描述.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 energy consumption in process systems. The material covered in this book is well suited for the use of industrial practitioners, academics, and researchers...In Chapter 1, a historical perspective on the milestones in model-based design optimization techniques is presented along with an overview of the state-of-the-art mathematical tools to solve the resulting complex problems. Chapters 2 and 3 discuss two fundamental concepts that are essential for the reader. These concepts are (i) mixed integer dynamic optimization problems and two algorithms to solve this class of optimization problems, and
出版日期Book 2020
版次1
doihttps://doi.org/10.1007/978-3-031-02089-6
isbn_softcover978-3-031-00961-7
isbn_ebook978-3-031-02089-6Series ISSN 2690-0300 Series E-ISSN 2690-0327
issn_series 2690-0300
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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PAROC: PARametric Optimization and Control Framework,ls in design, operational optimization and advanced control studies. A step-wise procedure is outlined involving: (i) the development of a high-fidelity dynamic model and its validation; (ii) a model approximation step including system identification, model reduction, and global sensitivity analysis
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Integrating Process Design Optimization and Advanced Model-Based Control Strategies,gy. We develop design-dependent multiparametric model predictive controllers that are able to provide the optimal control actions as functions of the system state and the design of the process at hand. The process and the design dependent explicit controllers undergo a MIDO step for the determinatio
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Process Scheduling and Control via Multiparametric Programming,s of optimal scheduling actions accounting for the closed-loop dynamics of the process through a surrogate model formulation that incorporates the inherent behavior of the control scheme. The surrogate model is designed to translate the long-term scheduling decisions to time-varying set points and o
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Simultaneous Process Design, Scheduling, and Advanced Model-Based Control,ontrol problems in a single unified framework. The framework features (i) a MIDO formulation with design, scheduling, and control considerations and (ii) a multiparametric optimization strategy for the derivation of offline/explicit maps of optimal receding horizon policies. Explicit model predictiv
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發(fā)表于 2025-3-22 19:34:26 | 只看該作者
Baris Burnak,Nikolaos A. Diangelakis,Efstratios N. Pistikopouloslu? auf die Gr??e und Verteilung der inneren Kr?fte sind. Ihre richtige Berechnung ist daher grunds?tzlich von der Berechnung der üblichen steifen Tragwerke, wie Balken- und Bogentr?ger, verschieden. Dieses eigenartige Verhalten ist in dem Umstand begründet, da? sich die Biegungsmomente im Versteifu
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PAROC: PARametric Optimization and Control Framework,trategies to be analyzed and verified within the original high-fidelity model [130]. The software platform, PAROC, is also introduced briefly on a simple continuously stirred tank reactor example and demonstrated on a combined heat and power system in more depth.
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