A new stability analysis on a neural network method for linear complementarity problems

Consider a neural network method for a linear complementarity problem which is assumed to have a non-empty set of solutions. A new proof of sufficient conditions which guarantee the (globally) asymptotic stability of its equilibrium point is given. Another purpose of this paper is to point out a fatal mistake in the paper by Huang et al. [ICIC Express Lett., 11(4), pp. 853-861, 2017].