Fixed/predefined-time stabilization based on hyperbolic cosine function for memristive neural networks with mixed delays

Key Points

• The aim is to establish fixed-time and predefined-time stabilization for nonlinear dynamic systems using a hyperbolic cosine function.
• Introduced fixed-time and predefined-time stabilization theorems employing the hyperbolic cosine function.
• Applied the Lyapunov approach to derive stability conditions.
• Devised control strategies tailored for memristive neural networks with mixed delays.
• Conducted numerical simulations to validate theoretical outcomes.
• Demonstrated successful stabilization in memristive neural networks under defined conditions.
• Theoretical findings were corroborated through multiple numerical simulation cases.