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IEEE Micro, 1996
Researchers usually implement fuzzy inference systems in software on digital computers or microprocessors. This approach copes with most problems, however real-time systems often require very short time responses. In this case, a hardware implementation becomes the only solution.
J. Tombs +2 more
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Researchers usually implement fuzzy inference systems in software on digital computers or microprocessors. This approach copes with most problems, however real-time systems often require very short time responses. In this case, a hardware implementation becomes the only solution.
J. Tombs +2 more
openaire +2 more sources
Developments in fuzzy logic control
The 23rd IEEE Conference on Decision and Control, 1984The paper will present a review of research in fuzzy logic controllers, starting with the initial motivation for this work and going on to present some further developments. Cement kiln control remains one important area where the approach is now being applied, but other applications are appearing from the many research workers who have contributed to ...
H. Efstathiou, E. Mamdani, K. Sugiyama
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2012 International Conference on Computing, Communication and Applications, 2012
Fuzzy logic has always been used to enable machines to take decisions. A WMR is a wheeled mobile robot that moves on wheels. The present paper uses fuzzy logic for the navigation of a WMR in an unstructured environment.
Alok Kumar Jha +3 more
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Fuzzy logic has always been used to enable machines to take decisions. A WMR is a wheeled mobile robot that moves on wheels. The present paper uses fuzzy logic for the navigation of a WMR in an unstructured environment.
Alok Kumar Jha +3 more
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Fuzzy logic control for pressbrake
Proceedings of IEEE/IAS International Conference on Industrial Automation and Control, 2002A pressbrake is a machine used to bend metal sheet at different angles in a metal fabrication factory. High degree of bending angle accuracy and productivity are main objectives for having computerised numerical control (CNC) on such machines. The objective of this paper is to describe the fuzzy logic controller developed for hydraulic pressbrake. This
R.C. Desai, D. Dastoor
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1989
In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work.
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In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work.
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Fuzzy logic for control applications
Proceedings of WESCON '93, 2002Fuzzy logic is becoming recognized as an effective method for writing algorithms for control systems. As with everything else, the robustness of fuzzy lies in the system designer's ability to fully define the system and write effective "rules" for how the system should operate. What is new about fuzzy is that it allows parameters to fall within certain
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2021
We consider a simple fuzzy logic control methodology that is applicable for most systems. It was proven and utilized for the first time in renewable energy systems and wind turbine control systems. We also look at fuzzy control preliminaries, fuzzy controller heuristics, fuzzy logic controller design, and industrial fuzzy control supervision and ...
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We consider a simple fuzzy logic control methodology that is applicable for most systems. It was proven and utilized for the first time in renewable energy systems and wind turbine control systems. We also look at fuzzy control preliminaries, fuzzy controller heuristics, fuzzy logic controller design, and industrial fuzzy control supervision and ...
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Fuzzy Logic Control—A Tutorial
IETE Technical Review, 1991In this tutorial an introduction to Fuzzy control is attempted. Basic Fuzzy control logic and arithmetic is explained with a bias towards implementing practical examples. A few applications of fuzzy logic control are discussed. VLSI implementation of fuzzy logic is also discussed.
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2018
In Chap. 5, we provided detailed discussions about the classical linear control systems or PID control systems with various design methods. One of the most important and critical key requirements to design and implement a PID control system is that the dynamic model of the process or plant is the prerequisite condition .
Ying Bai, Zvi S. Roth
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In Chap. 5, we provided detailed discussions about the classical linear control systems or PID control systems with various design methods. One of the most important and critical key requirements to design and implement a PID control system is that the dynamic model of the process or plant is the prerequisite condition .
Ying Bai, Zvi S. Roth
openaire +2 more sources