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Handbook of Unmanned Aerial Vehicles
The Handbook of Unmanned Aerial Vehicles is a reference text for the academic and research communities, industry, manufacturers, users, practitioners, Federal Government, Federal and State Agencies,
On the Measurement of Enterprise Agility
TLDR
A knowledge-based framework is proposed and presented as a candidate solution for the measurement and assessment of manufacturing agility, represented via fuzzy logic terminology that allows for human-like knowledge representation and reasoning.
On Integrating Unmanned Aircraft Systems into the National Airspace System: Issues, Challenges, Operational Restrictions, Certification, and Recommendations
This book presents, in a comprehensive way,current unmanned aviation regulation, airworthiness certification, special aircraft categories, pilot certification, federal aviation requirements,
Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy
There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Applications span
Evolutionary algorithm based offline/online path planner for UAV navigation
TLDR
An evolutionary algorithm based framework, a combination of modified breeder genetic algorithms incorporating characteristics of classic genetic algorithms, is utilized to design an offline/online path planner for unmanned aerial vehicles (UAVs) autonomous navigation, providing near-optimal curved paths quickly and efficiently.
A Novel Nonlinear Backstepping Controller Design for Helicopters Using the Rotation Matrix
TLDR
The incorporation of nested saturation feedback functions in the backstepping design preserves the helicopter's motion and power physical constraints and enhances the intermediate control signals related to the attitude dynamics.
Fuzzy supervisory control of manufacturing systems
TLDR
Extensive simulation results show that the supervisory controller, when compared with the single-level distributed fuzzy controllers reduces WIP and cycle time while keeping backlog to acceptable levels.
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