
GIVE THE PERFECT GIFT
Erin Mills Town Centre Gift Cards are the perfect choice for your gift giving needs.Purchase gift cards at kiosks near the food court or centre court, at Guest Services, or click below to purchase online.PURCHASE HEREHome
Centralized Cooperative Control For Route Surveillance With Constant Communication
Indigo
Loading Inventory...
Centralized Cooperative Control For Route Surveillance With Constant Communication
By None
Current price: $20.90


By None
Centralized Cooperative Control For Route Surveillance With Constant Communication
Current price: $20.90
Loading Inventory...
Size: Paperback
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Indigo
The route surveillance (RS) mission is a new application of unmanned aircraft systems (UASs) to meet the reconnaissance and surveillance needs of combatant commanders. This mission intends to eld a four-vehicle UAS that can provide surveillance of convoy routes. This research focuses on developing a solution strategy based on the application of optimal control and cooperative control theory. The RS controller uses the UAS team size to divide the route into sectors for each entity. A specialized cost function and path constraints are used to formulate an optimal control problem that minimizes revisit time to the route and overall control energy of the UAS. The problem complexity makes an analytical solution di cult, so a numerical technique based on the Gauss pseudospectral method is used to solve for the optimal solution.
The route surveillance (RS) mission is a new application of unmanned aircraft systems (UASs) to meet the reconnaissance and surveillance needs of combatant commanders. This mission intends to eld a four-vehicle UAS that can provide surveillance of convoy routes. This research focuses on developing a solution strategy based on the application of optimal control and cooperative control theory. The RS controller uses the UAS team size to divide the route into sectors for each entity. A specialized cost function and path constraints are used to formulate an optimal control problem that minimizes revisit time to the route and overall control energy of the UAS. The problem complexity makes an analytical solution di cult, so a numerical technique based on the Gauss pseudospectral method is used to solve for the optimal solution.


















