| 书目名称 | Submodularity in Dynamics and Control of Networked Systems | | 编辑 | Andrew Clark,Basel Alomair,Radha Poovendran | | 视频video | | | 概述 | Addresses key design criteria for networked systems within a unifying analytical framework.Introduces submodular functions and optimization, developing them to be scalable for large-scale systems and | | 丛书名称 | Communications and Control Engineering | | 图书封面 |  | | 描述 | .This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems..In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples | | 出版日期 | Book 2016 | | 关键词 | Complex Networks; Control over Lossy Networks; Discrete Optimization; Network Synchronization; Networked | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-26977-1 | | isbn_softcover | 978-3-319-80051-6 | | isbn_ebook | 978-3-319-26977-1Series ISSN 0178-5354 Series E-ISSN 2197-7119 | | issn_series | 0178-5354 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 19:26:32
