Module-phase synchronization of fractional-order complex chaotic systems based on RBF neural network and sliding mode control

DOI10.1142/S0217979220500502zbMath1434.93066OpenAlexW3011888443MaRDI QIDQ5109861

Yaqiong Zhang, Fuzhong Nian, Xuelong Yu, Xinmeng Liu

Publication date: 14 May 2020

Published in: International Journal of Modern Physics B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217979220500502

zbMATH Keywords

sliding mode controlsynchronizationRBF neural networkfractional-order complex chaotic systems

Mathematics Subject Classification ID

Application models in control theory (93C95) Complex behavior and chaotic systems of ordinary differential equations (34C28) Control/observation systems governed by ordinary differential equations (93C15) Fractional ordinary differential equations (34A08)

Related Items (1)

Adaptive modulus hybrid projective combination synchronization of time-delay chaotic systems with uncertainty and disturbance and its application in secure communication

Cites Work

• Complex dynamical behavior and modified projective synchronization in fractional-order hyper-chaotic complex Lü system
• Remarks on fractional derivatives
• Fractional-order systems and controls. Fundamentals and applications
• The shortest synchronization time with optimal fractional order value using a novel chaotic attractor based on secure communication
• Sliding mode synchronization of fractional-order complex chaotic system with parametric and external disturbances
• Output Synchronization in Coupled Neural Networks With and Without External Disturbances
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