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Fuzzy-Adaptive ESO Control for Dual Active Bridge Converters. [PDF]
Sensors (Basel)Seo JH, Choi SJ.
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Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems. [PDF]
PLoS OneWang P, Yu H, Wang S.
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Explainable AI-enabled adaptive fuzzy MPPT and energy management for bifacial PV and battery-powered electric vehicle charging system. [PDF]
Sci RepTiwari VK +4 more
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Robust speed and levitation control of high-speed trains using TSK type-2 fuzzy sliding mode strategy. [PDF]
Sci RepIbrahim Mohammad S +9 more
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A virtual-structure-based type-3 fuzzy system for predictive sensor and actuator fault detection, compensation, and control in nonlinear systems. [PDF]
Sci RepHong X +5 more
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Fuzzy logic in control systems: fuzzy logic controller. I
IEEE Transactions on Systems, Man, and Cybernetics, 1990For pt.I see ibid., vol.20, no.2, p.404-18, 1990. The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined. Several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated ...
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IEEE Micro, 1997
We propose an architecture dedicated mainly to medium-range applications that demand computational power combined with low cost for the resulting hardware system (chip and board). Our architecture is a 16-bit processor with dedicated instructions and hardware for efficient support of fuzzy logic.
OLIVIERI, Mauro +3 more
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We propose an architecture dedicated mainly to medium-range applications that demand computational power combined with low cost for the resulting hardware system (chip and board). Our architecture is a 16-bit processor with dedicated instructions and hardware for efficient support of fuzzy logic.
OLIVIERI, Mauro +3 more
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1999
Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M.
Henk B Verbruggen, Robert Babuška
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Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M.
Henk B Verbruggen, Robert Babuška
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Microelectronics Journal, 1995
Fuzzy logic is increasingly being incorporated in systems to provide robust and effective control in a wide range of applications. The method is based on a many-valued logic which enables general principles and expert knowledge to be used to provide control rules and procedures.
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Fuzzy logic is increasingly being incorporated in systems to provide robust and effective control in a wide range of applications. The method is based on a many-valued logic which enables general principles and expert knowledge to be used to provide control rules and procedures.
openaire +2 more sources