Variable impulsive control for fuzzy modeling memristor‐based chaotic system with control gain error

Abstract The paper focuses on the variable impulsive control of memristor‐based chaotic system with control gain error via fuzzy modeling approach. Firstly, the variable impulsive approach is adopted, which can increase the flexibility of control strategy. Secondly, the fuzzy model is introduced, then the nonlinear part in system can be transformed to the sum of linear systems. In addition, the control gain error is considered, which is more in line with the practical situation. Then the condition for realizing the asymptotic stability is obtained, and the guidelines for choosing control parameters are given to have a better control performance. Finally, an example is presented to prove the effectiveness of our result.