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Recent Advances in Model Predictive Control - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021): Timm Faulwasser,... Recent Advances in Model Predictive Control - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021)
Timm Faulwasser, Matthias A. Muller, Karl Worthmann
R3,288 Discovery Miles 32 880 Ships in 10 - 15 working days

This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.

Recent Advances in Model Predictive Control - Theory, Algorithms, and Applications (Paperback, 1st ed. 2021): Timm Faulwasser,... Recent Advances in Model Predictive Control - Theory, Algorithms, and Applications (Paperback, 1st ed. 2021)
Timm Faulwasser, Matthias A. Muller, Karl Worthmann
R3,257 Discovery Miles 32 570 Ships in 10 - 15 working days

This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.

Angewandte Mathematik - Ein Lehrbuch fur Lehramtsstudierende (German, Paperback, 1. Aufl. 2018): Sascha Kurz, Michael Stoll,... Angewandte Mathematik - Ein Lehrbuch fur Lehramtsstudierende (German, Paperback, 1. Aufl. 2018)
Sascha Kurz, Michael Stoll, Karl Worthmann
R749 Discovery Miles 7 490 Ships in 10 - 15 working days

Mathematik! Aber wozu soll das bitte gut sein? Fast jede Lehrerin und jeder Lehrer wurde bereits mit dieser Frage konfrontiert. Dieses Buch macht den (Mehr-)Wert von Mathematik erfahrbar, indem Sie Algorithmen kennenlernen, mit denen Sie eine Vielzahl praktisch relevanter Probleme loesen koennen. Aufbauend auf Grundkenntnissen der Analysis und linearen Algebra unternehmen wir einen Streifzug durch die Angewandte Mathematik: Angefangen mit dem Loesen linearer und nichtlinearer Gleichungssysteme uber die lineare Optimierung bis hin zu modernen Verfahren der Computeralgebra. So finden Sie leicht ein passendes Thema, um die Lebenswelt Ihrer Schulerinnen und Schuler aktiv mit mathematischen Methoden zu verknupfen: Sei es, indem Sie die Bevoelkerungsentwicklung basierend auf realen Daten prognostizieren oder wirtschaftliche Prozesse optimieren. Oder auch, indem Sie vermeintlich altbekannte Aufgaben wie die Multiplikation so lange kneten, bis Sie und Ihr Computer sie wirklich schnell und effizient loesen. So bekommen Sie unter anderem neue Impulse fur Schwerpunktthemen oder Facharbeiten.

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