2019
DOI: 10.1109/mci.2018.2881644
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Fuzzy Control Systems: Past, Present and Future

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Cited by 296 publications
(146 citation statements)
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References 99 publications
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“…19 Fuzzy control theory combines traditional control algorithms with fuzzy mathematics to study inexact objects by simulating human thinking processes. 20 The basis of fuzzy control systems is the fuzzy set theory and fuzzy logic control. It uses fuzzy logic to imitate human thinking and controls those nonlinear, timevarying complex systems, and systems that cannot establish mathematical models.…”
Section: The Complements Of a And B Arementioning
confidence: 99%
“…19 Fuzzy control theory combines traditional control algorithms with fuzzy mathematics to study inexact objects by simulating human thinking processes. 20 The basis of fuzzy control systems is the fuzzy set theory and fuzzy logic control. It uses fuzzy logic to imitate human thinking and controls those nonlinear, timevarying complex systems, and systems that cannot establish mathematical models.…”
Section: The Complements Of a And B Arementioning
confidence: 99%
“…• Layer 1: The membership grade of x m on X r,m is computed, by (2). • Layer 2: The firing level of each rule Rule r is computed, by (3).…”
Section: E Comparison With Anfismentioning
confidence: 99%
“…Modeling errors are unavoidable in real-world applications, especially when using PMA approximation [22]. Thus, a robust design is necessary to robustify the feedback linearization control scheme.…”
Section: Lmi-based Robust Control Designmentioning
confidence: 99%
“…Furthermore, the proposed control approach allows reducing the costly automotive sensors and/or observers/estimators design tasks by exploiting the maximum possible available offline information. The idea is to estimate all variables needed for control design by using piecewise multiaffine (PMA) modeling [21,22], represented in the form of static LUTs issued from the data of the test bench. The effectiveness of the proposed control strategy is illustrated through extensive AMESim/Simulink co-simulations with a high-fidelity AMESim engine model.…”
Section: Introductionmentioning
confidence: 99%