1998 · 78 citations · 2 references
EngineeringAerospace EngineeringAutonomous SystemsAerial RoboticsOptimizationUnmanned Aircraft SystemsFlight Management SystemsMission PlanningOptimal ControlAutonomous Flight ControlAutonomy ArchitectureDecision ProblemsFlight Control ArchitectureSemi-autonomous SystemsUncertain Systems ModelingUnmanned Aerial Vehicle Control
Current semi‑autonomous UAVs perform well in structured settings, but tactical UAVs in rapidly changing, uncertain environments require rapid in‑flight replanning—a large optimization problem for which monolithic and hierarchical decomposition methods are explored, though the latter lack a solid theoretical foundation. The paper surveys enabling technologies for autonomous tactical UAVs and proposes research directions to improve hierarchical decomposition. The authors summarize existing enabling technologies for autonomous tactical UAVs.
This paper summarizes the enabling technologies for an autonomous tactical unmanned aerial vehicle (UAV). Current technologies are adequate for semi-autonomous UAVs that operate in a relatively structured environment. For tactical UAVs in a rapidly changing uncertain environment the present techniques are inadequate. The essence of autonomous control is rapid in-flight replanning under uncertainty. This is cast as a large optimization or decision problem. Monolithic and decomposition techniques are discussed for the solution of large decision problems. Hierarchical decomposition is the most promising approach, but suffers from an inadequate theoretical basis. Finally, research areas are proposed to address the decomposition problem.
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Systems: Decomposition, optimization and control
R. F. Drenick · Proceedings of the IEEE · 1981 · 222 citations