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Titlebook: Recent Advances in Model Predictive Control; Theory, Algorithms, Timm Faulwasser,Matthias A. Müller,Karl Worthmann Book 2021 The Editor(s)

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书目名称Recent Advances in Model Predictive Control
副标题Theory, Algorithms,
编辑Timm Faulwasser,Matthias A. Müller,Karl Worthmann
视频video
概述Presents some recent advances in the field of model predictive control (MPC), in particular economic MPC, distributed MPC, and applications thereof in different areas.Exhibits a number of challenging
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Recent Advances in Model Predictive Control; Theory, Algorithms,  Timm Faulwasser,Matthias A. Müller,Karl Worthmann Book 2021 The Editor(s)
描述.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 ro
出版日期Book 2021
关键词Distributed Optimization; Economic MPC; Mobile Robots; Model Predictive Control (MPC); Dissipativity; Tur
版次1
doihttps://doi.org/10.1007/978-3-030-63281-6
isbn_softcover978-3-030-63283-0
isbn_ebook978-3-030-63281-6Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/r/image/822890.jpg
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Dissipativity in Economic Model Predictive Control: Beyond Steady-State Optimality, and discusses their decisive role in this context. In particular, besides the well-studied case where steady-state operation is optimal, we also cover the cases of optimal periodic operation and more general optimal operating conditions. Furthermore, we discuss the computation of storage functions and extensions to time-varying settings.
发表于 2025-3-22 20:01:30 | 显示全部楼层
Predictive Path Following Control Without Terminal Constraints, prediction horizon is sufficiently long. Further, the proposed methodology allows to quantify a stabilizing prediction horizon. We illustrate our findings considering a robotic manipulator example. We explicitly verify cost controllability and conduct numerical experiments.
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