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Multi-model Jumping Systems: Robust Filtering and Fault Detection (Hardcover, 1st ed. 2021)
Loot Price: R3,173
Discovery Miles 31 730
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Multi-model Jumping Systems: Robust Filtering and Fault Detection (Hardcover, 1st ed. 2021)
Expected to ship within 12 - 17 working days
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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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