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Path Planning for Vehicles Operating in Uncertain 2D Environments

Autor Viacheslav Pshikhopov
en Limba Engleză Paperback – 31 ian 2017
Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable motion modes.


  • Presents a survey of accounting limitations imposed by vehicle dynamics
  • Proposes modified and new original methods, including neural networking, grapho-analytical, and nature-inspired
  • Gives tools for a novice researcher to select a method that would suit their needs or help to synthesize new hybrid methods
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Specificații

ISBN-13: 9780128123058
ISBN-10: 0128123052
Pagini: 312
Dimensiuni: 152 x 229 x 21 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE

Public țintă

Scientists working in the area of system analysis, robotics and control systems; Vehicle control systems designers; Developers of control systems and algorithms for robotic complexes; post-graduate and graduate students studying robotics, control systems, mechatronics and preparing their theses

Cuprins

1. Position-Path Control of a Vehicle2. Neural Networking Path Planning Based on Neural-Like Structures3. Vehicles Fuzzy Control Under the Conditions of Uncertainty4. Genetic Algorithms Path Planning5. Graphic-Analytical Approaches to Vehicle's Motion Planning6. Motion Planning and Control Using Bionic Approaches Based on Unstable Modes