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A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control andFDD problems.
| Autorius: | Hong Wang, Lei Guo, |
| Serija: | Advances in Industrial Control |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2012 |
| Knygos puslapių skaičius: | 216 |
| ISBN-10: | 1447125592 |
| ISBN-13: | 9781447125594 |
| Formatas: | 235 x 155 x 12 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Stochastic Distribution Control System Design: A Convex Optimization Approach“
