A Fuzzy Networked Control System Following Frequency Transmission Strategy

  • Héctor Benítez-Pérez IIMAS UNAM Cto. Escolar 3000, C. U., México D. F.
  • Jorge Ortega-Arjona Facultad de Ciencias UNAM Av. Universidad 3000, C. U., México D. F.
  • Oscar Esquivel-Flores IIMAS UNAM Cto. Escolar 3000, C. U., México D. F.
  • Jared A. Rojas-Vargas
  • Andrés Álvarez-Cid Facultad de Ingeniería UNAM Av. Universidad 3000, C.U., México D. F.


At present, network control systems employ a common approximation to solve the connectivity issue due to time delays coupled with external factors . However, this approach tends to be complex in terms of time delays, and the inherent local phase is missing. Therefore, it is necessary to study the behavior of the delays as well as the integration of the differential equations of these bounded delays. The related time delays need to be known a priori, but from a dynamic real-time perspective in order to understand the dynamic phase behavior. The objective of this paper is to demonstrate the inclusion of the data frequency transmission and time delays that are bounded as parameters of the dynamic response from a real-time scheduling approximation, considering the local phase situation. The related control law is designed considering a fuzzy logic approximation for nonlinear time delays coupling. The main advantage is the integration of this behavior through extended state space representation. This keeps certain linear and bounded behavior leading to a stable situation during an events presentation, based on an accurate data transmission rate. An expected result is that the basics of the local phase missing as a result of the local bounded time delays from the lack of tide synchronization conforms to the modeling approximation.


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How to Cite
BENÍTEZ-PÉREZ, Héctor et al. A Fuzzy Networked Control System Following Frequency Transmission Strategy. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 11, n. 1, p. 11-25, nov. 2015. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2158>. Date accessed: 11 july 2020. doi: https://doi.org/10.15837/ijccc.2016.1.2158.


Fuzzy networks control (FNC), frequency control, local phase challenge