[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

McGrew et al., 2010 - Google Patents

Air-combat strategy using approximate dynamic programming

McGrew et al., 2010

View PDF
Document ID
8724384446196721872
Author
McGrew J
How J
Williams B
Roy N
Publication year
Publication venue
Journal of guidance, control, and dynamics

External Links

Snippet

DESPITE long-range radar and missile technology improve-ments, modernfighter aircraft (eg, F/A-22, F-35, and F-15) are still designed for close combat, and military pilots are still trained in air-combat basic fighter maneuvering (BFM). Unmanned aircraft systems (UASs) …
Continue reading at dspace.mit.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G05D1/104Simultaneous control of position or course in three dimensions specially adapted for aircraft involving a plurality of aircrafts, e.g. formation flying
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0027Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement involving a plurality of vehicles, e.g. fleet or convoy travelling

Similar Documents

Publication Publication Date Title
McGrew et al. Air-combat strategy using approximate dynamic programming
Shin et al. An autonomous aerial combat framework for two-on-two engagements based on basic fighter maneuvers
Ernest et al. Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions
Beard et al. Decentralized cooperative aerial surveillance using fixed-wing miniature UAVs
McGrew Real-time maneuvering decisions for autonomous air combat
Eklund et al. Implementing and testing a nonlinear model predictive tracking controller for aerial pursuit/evasion games on a fixed wing aircraft
US8924069B1 (en) Artificial immune system approach for airborne vehicle maneuvering
Ernest Genetic fuzzy trees for intelligent control of unmanned combat aerial vehicles
Sprinkle et al. Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller
Dong et al. Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects
Teng et al. Adaptive computer-generated forces for simulator-based training
Ramírez López et al. Effectiveness of autonomous decision making for unmanned combat aerial vehicles in dogfight engagements
Junell et al. Reinforcement learning applied to a quadrotor guidance law in autonomous flight
Yoo et al. Deep reinforcement learning-based intelligent agent for autonomous air combat
Li et al. Basic flight maneuver generation of fixed-wing plane based on proximal policy optimization
Duan et al. Autonomous maneuver decision for unmanned aerial vehicle via improved pigeon-inspired optimization
Dong et al. Trial input method and own-aircraft state prediction in autonomous air combat
Kaneshige et al. Artificial immune system approach for air combat maneuvering
Yoo et al. Deep reinforcement learning based autonomous air-to-air combat using target trajectory prediction
Han et al. Unmanned aerial vehicle swarm control using potential functions and sliding mode control
Yang et al. Manual-based automated maneuvering decisions for air-to-air combat
Sprinkle et al. Deciding to land a UAV safely in real time
Fang et al. Approximate dynamic programming for CGF air combat maneuvering decision
Park et al. An expert data-driven air combat maneuver model learning approach
Sharma Fuzzy Q learning based UAV autopilot