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Könyv Multi-model Jumping Systems: Robust Filtering and Fault Detection Shuping He

Multi-model Jumping Systems: Robust Filtering and Fault Detection

Szerző: Shuping He, Xiaoli Luan
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer Verlag, Singapore
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
36 386 Ft
This book focuses on multi-model systems, describing how to apply intelligent technologies to model...

Információk a könyvről

Szerző
Shuping He, Xiaoli Luan
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
182
EAN
9789813364769
Enbook ID
38695135
Kiadó
Springer Verlag, Singapore
Súly
308
Méretek
155 x 235 x 11

Teljes leírás

This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems.

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