| 书目名称 | Economic Model Predictive Control | | 副标题 | Theory, Formulations | | 编辑 | Matthew Ellis,Jinfeng Liu,Panagiotis D. Christofid | | 视频video | | | 概述 | Presents state-of-the-art methods for the important new field of economic model predictive control.Enriches reader understanding of the combination of process economics and feedback control within a s | | 丛书名称 | Advances in Industrial Control | | 图书封面 |  | | 描述 | .This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:.Lyapunov-based EMPC methods for nonlinear systems;. two-tier EMPC architectures that are highly computationally efficient; and. EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics...The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples...The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and c | | 出版日期 | Book 2017 | | 关键词 | Model Predictive Control; Process Economic Optimization; Nonlinear Systems; Computational Efficiency; Ti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-41108-8 | | isbn_softcover | 978-3-319-82268-6 | | isbn_ebook | 978-3-319-41108-8Series ISSN 1430-9491 Series E-ISSN 2193-1577 | | issn_series | 1430-9491 | | copyright | Springer International Publishing Switzerland 2017 |
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发表于 2025-3-21 19:14:29
