| 书目名称 | Model Predictive Control | | 副标题 | Approaches Based on | | 编辑 | Ridong Zhang,Anke Xue,Furong Gao | | 视频video | | | 概述 | The first monograph on extended state space and extended non-minimal state space approaches to model predictive control design.Introduces the multi-degree of freedom into the controller design of chem | | 图书封面 |  | | 描述 | .This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering. . | | 出版日期 | Book 2019 | | 关键词 | Model Predictive Control; Process Control; Control Engineering; State Space Models; PID Control; Extended | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-0083-7 | | isbn_softcover | 978-981-13-4326-1 | | isbn_ebook | 978-981-13-0083-7 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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发表于 2025-3-21 18:18:12
