Milne‐Hamming discretized zeroing neural networks for solving time‐varying linear systems

Time‐varying linear systems (TVLS) is a vital mathematical problem in many engineering fields. In this letter, a Milne‐Hamming discretized zeroing neural networks (MHDZNN) is presented to solve the TVLS, where high accurate convergence is got by combing Milne‐Hamming (MH) method. Theoretical analyses of its convergence and precision are discussed to illustrate the validity of the Milne‐Hamming DZNN (MHDZNN). Furthermore, numerical experiments compared with the two existing DZNN models are simulated to verify the superiority of the proposed MHDZNN model.