| 书目名称 | Predictive Approaches to Control of Complex Systems |
| 编辑 | Gorazd Karer,Igor Škrjanc |
| 视频video | |
| 概述 | Presents control of time-delayed, unstable, multivariable processes and modelling approaches for several classes of complex systems.Special emphasis is put on hybrid systems with distinct nonlineariti |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. .This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that ca |
| 出版日期 | Book 2013 |
| 关键词 | Adaptive Control; Complex Dynamics; Fuzzy Systems; Genetic Algorithms; Hybrid Systems; Identification; Mod |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-33947-9 |
| isbn_softcover | 978-3-642-43977-3 |
| isbn_ebook | 978-3-642-33947-9Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
发表于 2025-3-21 16:27:59
