To estimate the growth rate of matrix products An · · · A1 with factors from some set of matrices A, such numeric quantities as the joint spectral radius ρ(A) and the lower spectral radiusρ(A) are traditionally used. The first of these quantities characterizes the maximum growth rate of the norms of the corresponding products, while the second one characterizes the minimal growth rate. In the theory of discrete-time linear switching systems, the inequality ρ(A) < 1 serves as a criterion for the stability of a system, and the inequalityρ(A) < 1 as a criterion for stabilizability.For matrix products AnBn · · · A1B1 with factors Ai ∈ A and Bi ∈ B, where A and B are some sets of matrices, we introduce the quantities µ(A, B) and η(A, B), called the lower and upper minimax joint spectral radius of the pair {A, B}, respectively, which characterize the maximum growth rate of the matrix products AnBn · · · A1B1 over all sets of matrices Ai ∈ A and the minimal growth rate over all sets of matrices Bi ∈ B. In this sense, the minimax joint spectral radii can be considered as generalizations of both the joint and lower spectral radii. As an application of the minimax joint spectral radii, it is shown how these quantities can be used to analyze the stabilizability of discrete-time linear switching control systems in the presence of uncontrolled external disturbances of the plant.