An Investigation on Techniques for Accurate Phase or Time Synchronization in Reconfigurable Control Systems

2012 ◽  
Author(s):  
Eloy Martins Junior de Oliveira ◽  
Marcelo Lopes de Oliveira e Souza
Keyword(s):  
Control Systems ◽  
Time Synchronization ◽  
Reconfigurable Control

A Prototype Open-Control Platform for Reconfigurable Control Systems

2004 ◽  
pp. 63-84 ◽  
Author(s):  
L. Wills ◽  
S. Kannan ◽  
S. Sander ◽  
M. Guler ◽  
B. Heck ◽  
...  
Keyword(s):  
Control Systems ◽  
Reconfigurable Control ◽  
Open Control

scholarly journals Combining Semi-Formal and Formal Methods for the Development of Distributed Reconfigurable Control Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 70426-70443 ◽  
Author(s):  
Raja Oueslati ◽  
Olfa Mosbahi ◽  
Mohamed Khalgui ◽  
Zhiwu Li ◽  
Ting Qu
Keyword(s):  
Control Systems ◽  
Formal Methods ◽  
Reconfigurable Control

scholarly journals Frequency-Tracking Clock Servo for Time Synchronization in Networked Motion Control Systems

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 11606-11614 ◽  
Author(s):  
Xin Chen ◽  
Di Li ◽  
Shiyong Wang ◽  
Hao Tang ◽  
Chengliang Liu
Keyword(s):  
Control Systems ◽  
Motion Control ◽  
Time Synchronization ◽  
Frequency Tracking

Context-aware Fuzzy Control Systems

2014 ◽  
Vol 24 (05) ◽  
pp. 825-856 ◽  
Author(s):  
Mariusz Pelc
Keyword(s):  
Control System ◽  
Control Systems ◽  
Knowledge Engineering ◽  
Linear Control Systems ◽  
Context Aware ◽  
Decision Point ◽  
Reconfigurable Control ◽  
Control Signals ◽  
Run Time ◽  
Control Layer

In this paper an example of a hierarchical context-aware run-time reconfigurable control system is presented. The context-awareness is resulting from using policy-based computing as a technology allowing the control system to replace its decision making logic in run-time in response to changing environment conditions. The proposed solution allows system experts to specify policies (AGILE policies) used in the Supervision Layer for the purpose of making decisions regarding the most appropriate controller configuration and on the other side, they can specify policies (Fuzzy Logic policies) used in the Control Layer in order to generate control signals allowing to achieve specified control goals. Novelty of the proposed solutions lays in combination of two technologies, Open Decision Point technology originating from the Software Engineering domain Policy-based Computing that is originating from the Knowledge Engineering domain in application to non-linear control systems.

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