A survey on industrial applications of fuzzy control (original) (raw)
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From Fuzzy Models to Fuzzy Control
1999
Abstract Traditional (non-fuzzy) control methodology deals with situations when we know exactly how the system behaves and how it will react to different controls, and we want to choose an appropriate control strategy. This methodology enables us to transform the description of the plant's (system's) behavior into an appropriate control strategy. In many practical situations, we do not have the exact knowledge of the system's behavior, but we have expert-supplied fuzzy rules which describe this behavior.
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Overall intelligent control system which runs on fuzzy, genetic and neural algorithm is a promising engine for large –scale development of control systems . Its development relies on creating environments where anthropomorphic tasks can be performed autonomously or proactively with a human operator. Certainly, the ability to control processes with a degree of autonomy is depended on the quality of an intelligent control system envisioned. In this paper, a summary of published techniques for intelligent fuzzy control system is presented to enable a design engineer choose architecture for his particular purpose. Published concepts are grouped according to their functionality. Their respective performances are compared. The various fuzzy techniques are analyzed in terms of their complexity, efficiency, flexibility, start-up behavior and utilization of the controller with reference to an optimum control system condition.
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An Introduction to Fuzzy Logic Controller and its Applications
This paper presents the nature of fuzziness and how the fuzzy operations are performed and how fuzzy rules can incorporate the underlying knowledge to develop a fuzzy logic controller or simply a fuzzy controller. Fuzzy logic is a way to make machines more intelligent to deal with uncertain, imprecise or qualitative decision making problems like humans. This paper also provides some applications of fuzzy controller in a simple and easy to understand manner.
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Fuzzy Logic Controllers. Methodology, Advantages and Drawbacks
X Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF'00, 2000
In this paper, an analysis of the role of fuzzy logic controllers is carried out. Its interpretation and the conditions for successful implementation in several control structures, jointly with their advantages and drawbacks with relation to other advanced control approaches are discussed.
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