In this research, a unique subspace data driven control for linear parameter changing system with scheduling parameters is presented. This paves the way investigating nonlinear based on results regarding that are already known. Only matrix utilized to represent output prediction value in future various time instants, while input-output observation used identify Markov form of state space forms....

The increasing ease of obtaining and processing data together with the growth in system complexity has sparked interest moving from conventional model-based control design towards data-driven concepts. Since many engineering applications time delays naturally arise are often a source instability, we contribute to field by introducing data-based formulas for state feedback linear discrete-time t...