Abstract
In this paper, the authors investigate the synchronization criteria of fuzzy impulsive sampled data control for Hindmarsh–Rose (H–R) neuronal system with time-delay. For the stability analysis, Lyapunov–Krasovskii functionals (LKF) are employed to deduce the conditions that guarantee the asymptotical stability of the proposed T–S fuzzy H–R neuron system. By utilizing free-matrix based inequality, some sufficient conditions are derived and expressed in terms of linear matrix inequalities. The obtained sufficient conditions can be checked easily by standard available software packages in MATLAB. Finally, some numerical simulations are given to validate the effectiveness of the proposed conditions.
Original language | English |
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Pages (from-to) | 588-602 |
Number of pages | 15 |
Journal | Mathematics and Computers in Simulation |
Volume | 201 |
DOIs | |
Publication status | Published - Nov 2022 |
Keywords
- Hindmarsh–Rose (H–R) neuron model
- Impulsive control
- Linear matrix inequality (LMI)
- Synchronization
- Takagi–Sugeno (T–S) fuzzy rules
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
- Numerical Analysis
- Modelling and Simulation
- Applied Mathematics