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Título del libro: Fuzzy Control Systems
Título del capítulo: Fuzzy network control systems based upon a real-time implementation

Autores UNAM:
HECTOR BENITEZ PEREZ; JORGE LUIS ORTEGA ARJONA; OSCAR ALEJANDRO ESQUIVEL FLORES;

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Autores externos:

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Idioma:
Inglés

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Año de publicación:
2012

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Resumen:

Fuzzy control, as a global stable strategy based upon piece wise integration, allows a switched approximation for nonlinear behavior, where variations are expected during time delays due to inherent network communication. Time delays variations may be determined from communication system or by a scheduling strategy, through their stochastic behavior. Variations may be studied considering bounded known behavior, or through classic delay estimation; in either case results would be only switchable for known cases. This condition is tackled using conditions of processes period selection, making possible the switching under a precise known delay stage, and its related estimation. A Fuzzy Takagi-Sugeno approach has been proposed, considering the time delays behavior. Using this approach, several experiments have been developed, ranging from simulations based upon MATLAB to implementations using real hardware in the loop. Through several years, many case studies have been studied and tested, such as a three tanks benchmark, a three conveyor belts example, an aerodynamic airplane simulation, a magnetic levitation system, and an helicopter modeling. In this chapter, the basics of such an approach are presented, explained along with two selected case studies from the list above: a three tanks benchmark and the helicopter modeling. The main goal of this chapter is to show how a Network Control System (NCS) can be implemented as a feasible strategy for time delays variations. Moreover, it is reviewed a strategy based upon a dynamic linear time invariant model, managing the relationship between frequencies of agents in a distributed system, and using LQR control scheme to bring the system into a linear region. Hence, the objective of this chapter is to present a reconfiguration control strategy for NCSs, making use of a Fuzzy Takagi-Sugeno Model Predictive Control. The dynamic behavior of such a NCS is modeled using a real-time implementation of the scheduling algorithm. © 2012 Nova Science Publishers, Inc. All rights reserved.

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Entidades citadas de la UNAM:

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Fuente:


ISBN:
9781613244883
Editorial:
Nova Science Publishers, Inc. Nombre de la publicación:
Fuzzy network control systems based upon a real-time implementation
Página inicial:
25
Página final:
48

Tipo de producto:
Capítulo de un Libro