Real-time Optimal Control of Multi-wheeled Combat Vehicles <U+0096> using Artificial Neural Network and Potential Fields

Real-time Optimal Control of Multi-wheeled Combat Vehicles <U+0096> using Artificial Neural Network and Potential Fields

Este artc̕ulo presenta un algoritmo de planificacin̤ de ruta en tiempo real para vehc̕ulos de combate autn̤omos de ml͠tiples ruedas que utilizan la Red Neural Artificial (ANN), los Campos de Potencial Artificial (APF) y la teora̕ de control p̤tima. La navegacin̤ en tiempo real de vehc̕ulos autn̤omos...

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Gardado en:
Detalles Bibliográficos
Outros autores: EI-Gindy M, Huang X, Lang H, Mohamed A, Ren J, University of Defence
Formato: Libro
Idioma:inglés
Subjects:
Vehc̕ulos para campo traviesa
Vehc̕ulo blindado de combate
Redes neuronales (Computadores)
Inteligencia artificial
Arma
Off-road vehicles
Armoured fighting vehicle
Neural networks (Computer science)
Artificial intelligence
Armaments
Teora̕ de control p̤timo en tiempo real
planificacin̤ de rutas
vehc̕ulo de combate autn̤omo de ml͠tiples ruedas
red neuronal artificial
campos de potencial artificial.
Real-time
optimal control theory
path planning
autonomous multi-wheeled combat vehicle
Artificial Neural Network
artificial potential fields.
Acceso en liña:Real-time Optimal Control of Multi-wheeled Combat Vehicles <U+0096> using Artificial Neural Network and Potential Fields
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Real-time Optimal Control of Multi-wheeled Combat Vehicles <U+0096> using Artificial Neural Network and Potential Fields

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