Litcius/Paper detail

Finite-Time Stability of Fractional-Order Discontinuous Nonlinear Systems With State-Dependent Delayed Impulses

Gokul Palanisamy, Ardak Kashkynbayev, R. Rakkiyappan

2023IEEE Transactions on Systems Man and Cybernetics Systems16 citationsDOI

Abstract

This article investigates finite-time stability (FTS) and finite-time contractive stability (FTCS) of discontinuous nonlinear fractional-order (FO) systems with time-delay and state-dependent delayed impulses. Lyapunov–Razumikhin (LR) conditions and impulse perturbations yield the essential and adequate conditions for stability criteria. Based on the main concept of this work, we investigate the stability analysis of retarded FO neural networks (NNs) with time delays, FO-delayed Cohen–Grossberg NNs, and FO-delayed bidirectional associative memory NNs within the framework of the Filippov map due to the fact that the neuron activation functions are discontinuous. The above NNs will verify the Lyapunov–Razumikhin conditions, and finally, three numerical simulations are provided to demonstrate the efficacy of this framework.

Topics & Concepts

Bidirectional associative memoryImpulse (physics)Nonlinear systemControl theory (sociology)MathematicsStability (learning theory)Artificial neural networkLyapunov functionApplied mathematicsComputer scienceContent-addressable memoryArtificial intelligencePhysicsControl (management)Machine learningQuantum mechanicsNeural Networks Stability and Synchronizationstochastic dynamics and bifurcationNeural Networks and Applications