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The fuzzy descriptor system is chosen to represent the dynamics of the overhead crane, and a guaranteed cost fuzzy control design is proposed for the fuzzy descriptor system.
Subsequently, a fault-tolerant controller is constructed, which is informed by the fuzzy descriptor observer.
In order to decouple the measurement noise, an augmented fuzzy descriptor model is first constructed.
Then a fuzzy descriptor proportional and derivative (PD) observer is developed.
This paper investigates the pole placement problem for a class of fuzzy descriptor system.
This paper proposes a robust observer-based output feedback control for fuzzy descriptor systems.
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This paper proposes, for nonlinear systems composed of interconnected Takagi-Sugeno fuzzy descriptors, a nonlinear H∞ based controller design.
Then, he ranges the radio signal strength indicator (RSSI) using linguistic fuzzy descriptors {low, medium, or high}.
Further research topics might include the development of our results to more complex and more varied cases with sector nonlinearities and channel fadings by using a stochastic analysis approach, such as multi-agent systems based on the T-S fuzzy model, descriptor systems, and affine fuzzy systems.
Discussion focuses on the antiquated, fuzzy dichotomous descriptors of patrilocal/matrilocal residence rules, trait heritability, the utility of dental metric data, and small and imbalanced samples.
Fuzzy moment descriptors being less sensitive to noise, makes the matching process invariant to the above stray external disturbances.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com