This article considers a time-varying optimization problem associated with network of systems, each the systems shared by (and affecting) number individuals. The objective is to minimize cost functions individuals' preferences, which are unknown, subject constraints that capture physical or operational limits network. To this end, develops distributed online algorithm concurrent learning functi...

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....