Optimization of Buffer Networks via DC Programming

This brief is concerned with the $H^{2}$ and notation="LaTeX">$H^{\infty }$ norm-constrained optimization problems of dynamic buffer networks. The extended network model introduced first, wherein weights all edges can be tuned independently. Because emerging nonconvexity model, previous results positive linear systems failed to address this situation. By resorting log–log convexity a class nonlinear functions called posynomials, reduced differential convex programming problems. proposed framework illustrated for large-scale