1998•IEEE Control SystemsRequires access

Using fuzzy logic in control applications: beyond fuzzy PID control

Stephen L. Chiu

Open publisher page 48 citations

Abstract

Fuzzy logic is used mostly to handle high-level control functions that traditional control methods do not address. This article discusses different ways that fuzzy logic can be used in high-level control functions. Specifically, we examine the use of fuzzy logic for supervisory control, for selecting discrete control actions, for identifying the operating environment, and for evaluating controller performance. The purpose of this article is to stimulate the use of fuzzy logic to provide new control functions that are outside the domain of traditional control, where fuzzy control is likely to provide the greatest payoff.

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What this paper is about

Fuzzy logic is used mostly to handle high-level control functions that traditional control methods do not address. This article discusses different ways that fuzzy logic can be used in high-level control functions. Specifically, we examine the use of fuzzy logic for supervisory control, for selecting discrete control actions, for identifying the operating environment, and for evaluating controller performance. The purpose of this article is to stimulate the use of fuzzy logic to provide new control functions that are outside the domain of traditional control, where fuzzy control is likely to provide the greatest payoff.

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OpenAlex reports 48 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Fuzzy logic is used mostly to handle high-level control functions that traditional control methods do not address. This article discusses different ways that fuzzy logic can be used in high-level control functions. Specifically, we examine the use of fuzzy logic for supervisory control, for selecting discrete control actions, for identifying the operating environment, and for evaluating controller performance. The purpose of this article is to stimulate the use of fuzzy logic to provide new control functions that are outside the domain of traditional control, where fuzzy control is likely to provide the greatest payoff.

Key concepts: Fuzzy logic, Control engineering, Fuzzy electronics, Fuzzy control system, Control theory (sociology), Computer science, PID controller, Control (management)

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