Results 221 to 230 of about 419,147 (255)

Modeling and control of hierarchical systems with fuzzy systems

Automatica, 1996
The paper proposes to use a fuzzy methodology to model the supervision and planning levels of a three level hierarchical control system. Only the first level of the process and the controller itself remain crisp. The main advantage of this system is that all levels of this hierarchical system can be formulated in a same mathematical framework.
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Fuzzy T-S Modeling and Fuzzy Control Research on Networked Control Systems

2007 IEEE International Conference on Automation and Logistics, 2007
To solve the stability control problem of Networked Control Systems (NCS) with time delay, a new method of building a discrete fuzzy T-S model is proposed for NCS generalized plant, and the model is proved theoretically to be able to approach a real plant at an arbitrary precision.
Huiling Mu, Guimei Cui, Zhichun Mu, Xiaoli Li   +3 more
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Averaging in fuzzy controlled systems

Nonlinear Oscillations, 2012
We consider the applicability of the scheme of complete averaging to control problems with terminal quality criterion in the case where the behavior of the system is described by a controlled fuzzy differential equation.
N. V. Skripnik, Tatyana A. Komleva, L. I. Plotnikova, Andrej V. Plotnikov   +3 more
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A fuzzy irrigation controller system

Engineering Applications of Artificial Intelligence, 2000
Abstract The paper presents a solution for an irrigation controller based on the fuzzy-logic methodology. First, it describes the general problem of irrigation. Then, it discusses the physical control model. Following the discussion and the formal presentation of the fuzzy controller, the paper provide examples that will show the simplicity in ...
M. Bahat, O. Yaniv, G. Inbar, Moti Schneider   +3 more
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An intelligent fuzzy control system

1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297), 2002
We propose a new architecture of an intelligent fuzzy control system. The basic idea of the system is based on analyzing error responses of a fuzzy control system to adjust its parameters properly. Two simulation results have shown that the proposed system is promising.
Bo Yuan, D. Zrilic
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Expert Systems and Fuzzy Control

1985
During the last two centuries the potential of electronic data processing (EDP) has been used to an increasing degree to support human decision making in different ways. In the sixties the management informations systems (MIS) created probably exaggerated hopes of managers. Since the late 1970s and early 1980s decision support systems (DSS) found their
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Calibration of fuzzy control systems

Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002
Fuzzy control systems (FCS) are usually designed through linguistic control rules and the operations among the fuzzy sets that define the fuzzy controller deal with fuzzy logic. However, the configuration and tuning of this kind of system represents a problem, although the modelling of the expert knowledge seems easy.
Agustín Jiménez, G. Martinez, Fernando Matía   +2 more
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Stability of fuzzy control systems

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002
Stability of a class of fuzzy control systems is analyzed by replacing the fuzzy controller with an appropriate describing function. Nonlinear analytical expressions for fuzzy controllers are derived. These expressions are numerically approximated by describing functions.
Celal Batur, Thananchai Leephakpreeda
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Fuzzy systems and fuzzy expert control: An overview

The Knowledge Engineering Review, 1994
AbstractThis paper presents an overview of fuzzy set theory and its application to the analysis and design of fuzzy expert control systems. Starting with a short account of the basic concepts and properties of fuzzy sets and fuzzy reasoning, a few fuzzy rule-based controllers, viz, basic single-input singleoutput fuzzy control, self-organizing fuzzy ...
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Robust Control for T-S Fuzzy Systems

2019
T-S fuzzy models with actuator saturation and norm-bounded uncertainties have been used to describe nonlinear systems subject to actuator saturation in [10]. An overhead crane model has been described by a class of T-S fuzzy systems with input delays and actuator saturation in [193].
Hongjiu Yang, Yuanqing Xia, Qing Geng
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