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Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include:
| Autorius: | Krzysztof Patan |
| Serija: | Studies in Systems, Decision and Control |
| Leidėjas: | Springer International Publishing |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 240 |
| ISBN-10: | 3030118681 |
| ISBN-13: | 9783030118686 |
| Formatas: | 241 x 160 x 19 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Robust and Fault-Tolerant Control: Neural-Network-Based Solutions“
