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This paper addresses the problem of robust non-fragile H∞ state estimation for discrete-time genetic regulatory networks (GRNs) with exogenous disturbances, parameter uncertainties, and time delays. The network parameters are assumed to be time-varying but norm-bounded to account for the unavoidable modeling errors and parameter fluctuations. Two different Markov chains with uncertain transition probabilities...
This paper investigates the robust stability problem of a class of discrete-time genetic regulatory networks (GRNs) with probabilistic time delays. Different from the previous works, at each instant the feedback regulation delay and the translation delay are assumed to take values in two given finite sets with deterministic probability distributions. By utilizing a class of indicator functions and...
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