Exponential synchronization of fractional order fuzzy memristor neural networks with time-varying delays and impulses
Yangtao Wang, Kelin Li
Abstract
In this paper, the exponential synchronization of fractional order fuzzy memristor neural networks with time-varying delays and impulses is studied. In order to save cost and ensure that the control system does not jitter, two unsigned controllers are designed, and some criteria for guaranteeing exponential synchronization are given based on the differential inclusion theory and the fractional calculus theory. Finally, two numerical examples are given to verify the effectiveness of the results.
Topics & Concepts
MemristorSynchronization (alternating current)Control theory (sociology)Artificial neural networkExponential functionComputer scienceFuzzy logicOrder (exchange)MathematicsTopology (electrical circuits)Artificial intelligenceEngineeringElectronic engineeringMathematical analysisEconomicsCombinatoricsFinanceControl (management)Neural Networks Stability and Synchronizationstochastic dynamics and bifurcationAdvanced Memory and Neural Computing