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Examining the design of detection and isolation algorithms for unmanned vehicles including spacecraft and aerial drones, this book discusses a range of factors, proposing a geometric approach as well as new fault-detection methods in Markovian jump systems.

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"Fault Detection and Isolation: Multi-Vehicle Unmanned System" deals with the design and development of fault detection and isolation algorithms for unmanned vehicles such as spacecraft, aerial drones and other related vehicles. Addressing fault detection and isolation is a key step towards designing autonomous, fault-tolerant cooperative control of networks of unmanned systems. This book proposes a solution based on a geometric approach, and presents new theoretical findings for fault detection and isolation in Markovian jump systems. Also discussed are the effects of large environmental disturbances, as well as communication channels, on unmanned systems. The book proposes novel solutions to difficulties like robustness issues, as well as communication channel anomalies. "Fault Detection and Isolation: Multi-Vehicle Unmanned System" is an ideal book for researchers and engineers working in the fields of fault detection, as well as networks of unmanned vehicles.

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Introduction.- Geometric Approach to Fault Detection and Isolation.- Fault Detection and Isolation in a Network of Unmanned Vehicles: Ideal Communication Channels.- A Robust Fault Detection and Isolation Scheme with a Disturbance Decoupling Property.- Compensating for Communication Channels Effects in Fault Detection and Isolation

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