We present a linear-time subspace clustering approach that combines sparse representations and bipartite graph modeling. The signals are modeled as drawn from a union of low-dimensional subspaces, and ...

The practice of control strategies and their applications on industrial systems requires reliable models in implementation, with an identification of their variables involved in the control sequence.