Adaptive runtime response time control in PLC-based real-time systems using reinforcement learning

Author(s):  
Mahshid Helali Moghadam ◽  
Mehrdad Saadatmand ◽  
Markus Borg ◽  
Markus Bohlin ◽  
Björn Lisper
2017 ◽  
Vol 11 (2) ◽  
pp. 931-940 ◽  
Author(s):  
Fakhruddin Muhammad Mahbub ul Islam ◽  
Man Lin

Author(s):  
S. L. Schmuter ◽  
Y. A. Hamidieh

Abstract Flexibility of software for real-time control of machinery becomes one of the major objectives in view of ever increasing software costs. Such flexibility promotes efficiency in the development stage, but even more so, it enhances maintainability and facilitates upgrade during retooling and job changeover. A multilevel organization of software is described whereby the computational units in a particular level perform a special class of tasks and have specific privileges assigned to that level. A slot-matrix frame of the top control level along with a knowledge base provides for flexible chaining of various functions from the levels below, thus allowing substantial new features to be incorporated into the system if and when required. At the interactive level, selection alternatives for the operator are intelligently inferred and displayed through a rule base, and inputs are interpreted. The entire software is embedded in a number of processes for off-line computations, real-time control, transformations and data transfer. An example for robotic applications is elaborated.


2015 ◽  
Vol 52 (2) ◽  
pp. 125-160 ◽  
Author(s):  
Yasmina Abdeddaïm ◽  
Younès Chandarli ◽  
Robert I. Davis ◽  
Damien Masson

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 196700-196711
Author(s):  
Andoni Amurrio ◽  
Ekain Azketa ◽  
J. Javier Gutierrez ◽  
Mario Aldea ◽  
Michael Gonzalez Harbour

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