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Fuzzy Networked Control Systems Design Considering Scheduling Restrictions
Author(s) -
Héctor BenítezPérez,
A. Benítez-Pérez,
Jorge L. Ortega-Arjona,
Oscar A. Esquivel-Flores
Publication year - 2012
Publication title -
advances in fuzzy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 19
eISSN - 1687-711X
pISSN - 1687-7101
DOI - 10.1155/2012/927878
Subject(s) - bounded function , computer science , scheduling (production processes) , control theory (sociology) , fuzzy logic , lyapunov function , nonlinear system , mathematical optimization , dynamic priority scheduling , mathematics , control (management) , mathematical analysis , schedule , physics , quantum mechanics , artificial intelligence , operating system
Nowadays network control systems present a common approximation when connectivity is the issue to be solved based on time delays coupling from external factors. However, this approach tends to be complex in terms of time delays. Therefore, it is necessary to study the behavior of the delays as well as the integration into differential equations of these bounded delays. The related time delays needs to be known a priory but from a dynamic real-time behavior. To do so, the use of priority dynamic Priority exchange scheduling is performed. The objective of this paper is to show a way to tackle multiple time delays that are bounded and the dynamic response from real-time scheduling approximation. The related control law is designed considering fuzzy logic approximation for nonlinear time delays coupling, where the main advantage is the integration of this behavior through extended state space representation keeping certain linear and bounded behavior and leading to a stable situation during events presentation by guaranteeing stability through Lyapunov.

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