Model-Free Adaptive Control Based on Fractional Input-Output Data Model

Memory properties of fractional-order operators are considered for an input-output data model highly uncertain nonlinear systems. The arises by relating the variation output to input; instantaneous gain is computed through a fuzzy inference network, whose consequences adapted online on gradient descent rule. nature proposed relaxes stringent conditions data-driven schemes, allowing changes in signal with null controller. main contribution consists taking advantage memory and flexibility logic rules construct discrete-time relevance method assessed experiments real-world scenario.