| 书目名称 | Hybrid Predictive Control for Dynamic Transport Problems |
| 编辑 | Alfredo A. Núñez,Doris A. Sáez,Cristián E. Cortés |
| 视频video | |
| 概述 | Promotes coordination, safe and cost-sensitive operation of mass-transit systems.Presents methods which are easily extensible to other large-scale systems.Strengthens the armoury of methods usable for |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | .Hybrid Predictive Control for Dynamic Transport Problems. develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from area of computational intelligence, this is shown to optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed integer optimization problems dynamically, is readily extendable to other industrial processes..The main topics of this book are:.· hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO);.· HPC based on EMO for dial-a-ride systems; and.· HPC based on EMO for operational decisio |
| 出版日期 | Book 2013 |
| 关键词 | Computational Intelligence; Control; Control Applications; Dynamic Operational Processes; Dynamic Vehicl |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-4351-2 |
| isbn_softcover | 978-1-4471-5940-7 |
| isbn_ebook | 978-1-4471-4351-2Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer-Verlag London 2013 |
发表于 2025-3-21 17:00:14
