Recent advances in model predictive control : theory, algorithms, and applications / Timm Faulwasser, Matthias A. Müller, Karl Worthmann, editors.
Faulwasser, Timm, editor.; Müller, Matthias A., editor.; Worthmann, Karl, editor.
2021
TJ217.6
Available Online

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Title
Recent advances in model predictive control : theory, algorithms, and applications / Timm Faulwasser, Matthias A. Müller, Karl Worthmann, editors.
ISBN
9783030632816 (electronic bk.)
3030632814 (electronic bk.)
9783030632809
DOI
https://doi.org/10.1007/978-3-030-63281-6
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (ix, 244 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-63281-6 doi
Call Number
TJ217.6
Dewey Decimal Classification
629.8
Summary
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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 22, 2021).
Added Author
Faulwasser, Timm, editor.
Müller, Matthias A., editor.
Worthmann, Karl, editor.
Series
Lecture notes in control and information sciences ; volume 485. 0170-8643
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All Resources
Predictive path-following without terminal constraints
Dissipativity in economic model predictive control: beyond steady-state optimality
Primal or dual terminal constraints in Economic MPC? -s Comparison and insights
Multi-level iterations for economic nonlinear model predictive control
On closed-loop dynamics of ADMM-based MPC
Distributed optimization and control with ALADIN
Model predictive control for the internet of things
Hybrid GP modeling applied to economic stochastic MPC of batch processes
Collision avoidance for mobile robots based on an occupancy grid.

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