The story is about a young man named Jacob Roberts, who joins an elite military grade organization and stops a deadly biologically weaponized virus attack from General Kang, who is spreading it throughout the world. When Jacob attends High School with his best friend Dillon, they become friends with a girl named Ivy, and her best friend Avira, who has twin brothers Ari and Augustin. While Jacob is in school he also stays connected with Greta, his elderly neighbor’s grandchild and first love from the United Kingdom. Jacob finishes his military training a couple of years later and joins a pilot project funded in conjunction with thee other Government’s in England. Ivy falls ill before the squad’s departure to focus on a Jemaah Islamiyah Group’s act of violence stationed in Jakarta, Indonesia. The squad arrives and they align with a ghost agent named Zagi who helps them intervene on the JI Group’s activity. The squad is led to the discovery of a weaponized virus, fronted by General Kang, whom the JI Group are trying to steal the virus from. The squad determines the virus is spread through the use of contaminated hosts, long-range migratory water fowl and kidnapped test subjects from Japan that the General has released back into society. Jacob finds the cure Kang intended to use and leaves Indonesia to report the findings back to his Headquarters. Returning to England, Jacob realizes Ivy has been infected with the virus. It becomes a race against time to save his friend and stop a potential world disaster from occurring.
This book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB® simulations. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles will be of interest to both researchers in academia and professional engineers in the aerospace industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.