This book studies the stability and stabilization of BNs, which are binary models of complex systems, such as biological networks. BNs face uncertainties and disturbances, such as stochastic impulses, probabilistic switching and random noises, which challenge their analysis and design. We consider BNs that can achieve stability and stabilization with probability one or in probability, and BNs that have randomly missing data in some states. We also cover related topics, such as bisimulation-based stabilization of PBCNs and stabilization of BCNs with stochastic impulses. We present novel...