Tracking Control of a Class of Fuzzy Dynamical Systems under the Concept of Granular Differentiability

In this work, the tracking control of a class uncertain linear dynamical systems is investigated. The uncertainty considered to be represented as fuzzy numbers, and hence, these are referred systems, which presented in form differential equations (FDEs). solution an FDE found using approach called relative-distance-measure interval arithmetic under granular differentiability concept. objective provide law such that output system tracks desired reference input presence uncertainties. To end, theorem proposed, suggests should take feedback states with gains pre-compensator. However, since may not always measurable, observer designed for estimation states. It also clearly shown generalized Hukuhara concept unable solving problem examined study. Finally, efficiency plane landing problem.