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Autonomous Guided Vehicles Methods and Models for Optimal Path Planning

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Autonomous Guided Vehicles Methods and Models for Optimal Path Planning/ Iran University of Science and Technology Tehran Iran/ Models for AGVs’ Scheduling and Routing, Analytical Material Flow Model for AGV System. Nonlinear Stochastic Model for AGV System. Reliability Model for AGV, Uncertain Optimal Path for AGV System, Cross Entropy Model for AGV Routing Time. Neuro-Fuzzy-Regression Expert System for AGV Optimal Path. Optimal Path for AGV System with Intelligent Agents. Earliness/Tardiness for a Multiple AGV System. Markovian Model for Multiple AGV System, Producer's Behavior Analysis for AGV System. Risk for Multiple AGV System. Summary ...... Statement of the Problem ....... Mathematical Model ........ Conclusions ........... References ...........

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Studies in Systems, Decision and Control 20




Hamed Fazlollahtabar
Mohammad Saidi-Mehrabad


Autonomous
Guided
Vehicles
Methods and Models for Optimal Path
Planning

,Studies in Systems, Decision and Control

Volume 20


Series editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
e-mail:

,About this Series

The series "Studies in Systems, Decision and Control" (SSDC) covers both new
developments and advances, as well as the state of the art, in the various areas of
broadly perceived systems, decision making and control- quickly, up to date and
with a high quality. The intent is to cover the theory, applications, and perspec-
tives on the state of the art and future developments relevant to systems, decision
making, control, complex processes and related areas, as embedded in the fields of
engineering, computer science, physics, economics, social and life sciences, as well
as the paradigms and methodologies behind them. The series contains monographs,
textbooks, lecture notes and edited volumes in systems, decision making and con-
trol spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor
Networks, Control Systems, Energy Systems, Automotive Systems, Biological Sys-
tems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automa-
tion, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics,
Social Systems, Economic Systems and other. Of particular value to both the con-
tributors and the readership are the short publication timeframe and the world-wide
distribution and exposure which enable both a wide and rapid dissemination of
research output.

More information about this series at http://www.springer.com/series/13304

, Hamed Fazlollahtabar · Mohammad Saidi-Mehrabad




Autonomous Guided Vehicles
Methods and Models for Optimal
Path Planning




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