Fuzzy control system

Control (management)

Memristor

Engineering

Algebraic number

Biology

Encryption

Stability (learning theory)

Operating system

Computer science

Bounded function

Controller (irrigation)

Computer network

Mathematics

Fuzzy logic

Agronomy

Electronic engineering

Synchronization (alternating current)

Mathematical analysis

Artificial intelligence

Channel (broadcasting)

Control theory (sociology)

Artificial neural network

Lyapunov stability

Machine learning

IEEE Transactions on Fuzzy Systems

This paper investigates the synchronization problem of Takagi-Sugeno fuzzy memristive neural networks (FMNNs) with mixed delays, in which the bounded distributed and unbounded discrete time-varying delays are involved. Then, under the nonsmooth analysis and Lyapunov stability theory, several easily verified algebraic criteria are established to guarantee the global synchronization of FMNNs via a designed fuzzy feedback controller. Moreover, to show the superiority of the theoretical results, several discussions and comparisons with existing work are provided, indicating that derived results in this paper are general and include several existing ones as special cases. Finally, two numerical examples and two applications in psuedorandom number generation and image encryption are presented to show the validity and practicability of the theoretical results.

Global Synchronization of Fuzzy Memristive Neural Networks With Discrete and Distributed Delays