Fuzzy inferencing-based path planning with a cyber-physical framework and adaptive second-order SMC for routing and mobility control in a robotic network

Fuzzy inferencing-based path planning with a cyber-physical framework and adaptive second-order SMC for routing and mobility control in a robotic network

In this study, the authors address the problem of optimal routing and relative motion control in a network of robots. The path planning scheme has been designed using a fuzzy-based potential function employing optimal routing parameters. The optimal routing variables, such as routing probability and...

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Bibliographic Details
Main Authors: Anuj Nandanwar, Ranjith Ravindranathan Nair, Laxmidhar Behera
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:IET Cyber-systems and Robotics
Subjects:
lyapunov methods
adaptive control
mobile robots
variable structure systems
motion control
control system synthesis
path planning
optimisation
observers
fuzzy control
cyber-physical systems
robust control
optimal routing variables
routing probability
transmission rate
discrete optimisation problem
physical system
relative motion control
disturbance observer
controller parameters
adaptive tuning algorithm
pioneer p3-dx robots
cyber-physical framework
mobility control
robotic network
fuzzy-based potential function
optimal routing parameters
adaptive second-order smc
fuzzy inferencing-based path planning
adaptive second-order sliding mode control scheme
lyapunov theory
robustness
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0020

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https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0020

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