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This paper studies the mean square stabilization problem of multi-input discrete-time systems with multiplicative noise constraints. The channel resources are fixed and cannot be arbitrarily allocated, and the channel is modeled as multiplicative noise. The main purpose is to discuss the relationship between the minimum channel capacity of each subchannel and the system topological entropy by using majorization theory. The basic idea is to investigate the stabilization from the perspective ofdoi:10.1109/access.2020.2971719 fatcat:yox2bsyaz5ckxcifxzmuchlgne