  We propose a new decentralized design method to control opinion patterns on
signed networks of agents making decisions about two options and to switch the
network from any opinion pattern to a new desired one. Our method relies on
switching transformations, which switch the sign of an agent's opinion at a
stable equilibrium by flipping the sign of its local interactions with its
neighbors. The global dynamical behavior of the switched network can be
predicted rigorously when the original, and thus the witched, networks are
structurally balanced. Structural balance ensures that the network dynamics are
monotone, which makes the study of the basin of attraction of the various
opinion patterns amenable to rigorous analysis through monotone systems theory.
We illustrate the utility of the approach through scenarios motivated by
multi-robot coordination and dynamic task allocation.
