Memristive neural network state estimation method under coding and decoding mechanism

The invention discloses a memristive neural network state estimation method under a coding and decoding mechanism. The method comprises the following steps: step 1, establishing a memristive neural network dynamic model with H infinity performance constraint and sensor energy harvesting; step 2, state estimation is carried out on the memristor neural network dynamic model under a coding and decoding mechanism; 3, calculating an error covariance matrix upper bound and an H infinity performance constraint condition of the memristor neural network; step 4, solving a solution of an estimator gain matrix Kk by using a stochastic analysis method and solving a series of linear matrix inequalities, and realizing state estimation of the memristor neural network; and judging whether k + 1 reaches the total duration N or not, if k + 1 is less than N, executing the step 2, and otherwise, ending. According to the method, the problem of low estimation performance accuracy caused by the fact that the existing state estimati