| 书目名称 | MPC-Based Reference Governors |
| 副标题 | Theory and Case Stud |
| 编辑 | Martin Klaučo,Michal Kvasnica |
| 视频video | http://file.papertrans.cn/621/620209/620209.mp4 |
| 概述 | Shows how model predictive control can easily be implemented in industrial reference governors.Equips the practising control engineer with means of significantly improving performance of process opera |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system..The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered:.PID lower-level controllers;.linear quadratic regulators;.relay-based controllers; and.cases where the lower-level controllers are themselves model predictive controllers..For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples..The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four application |
| 出版日期 | Book 2019 |
| 关键词 | Reference Governors; Constraint Handling; Predictive Reference Governors; Command Governors; Extended Co |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-17405-7 |
| isbn_softcover | 978-3-030-17407-1 |
| isbn_ebook | 978-3-030-17405-7Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer Nature Switzerland AG 2019 |