Name: Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy (en Inglés)
Price: 1095.42 MXN
Availability: InStock
Author: Hachour, Ouarda
ISBN: 9786203193626

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portada Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy (en Inglés)

Formato

Libro Físico

Autor

Ouarda Hachour

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.3 cm

Peso

0.09 kg.

ISBN13

9786203193626

Categorías

Ingeniería electrónica

Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy (en Inglés)

Ouarda Hachour (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Adaptive IAS: Evolutionary autonomous optimal fuzzy path finding strategy (en Inglés)"

A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment, it must be capable of sensing, thinking, and acting. But, the current mobile robots do relatively little that is recognizable as intelligent. Therefore, the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles, and to make one way towards their target. In fact, recognition, learning, decision-making, and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment, it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity.