Moving-horizon estimation with binary encoding schemes

Abstract

Complex networks are composed of a large number of dynamical nodes interconnected according to network topologies. Many complicated practical systems can be generally described by complex networks in terms of nodes, edges, and interactions. Thanks to their extensive applications in diverse real-world systems such as electrical power systems, manufacturing processes, compartmental systems, and biological processes, the analysis and synthesis problems of complex networks have now become a very active research topic in both industry and academia.