This chapter presents the reference model matching approach for synchronizing heterogeneous multi-agent systems. It begins with a discussion of known linear networked systems, extending to uncertain and nonlinear scenarios. By designing control laws that ensure robust asymptotic model matching, the approach enables agents to align their outputs with predefined reference models and, consequently, achieve synchronization. The chapter also integrates adaptive homogenization techniques to address nonlinear uncertainties in heterogeneous system dynamics.