Finite-Time Stabilization Criteria of Delayed Inertial Neural Networks with Settling-Time Estimation Protocol and Reliable Control Mechanism

This work investigates the finite-time stability (FTS) issue for a class of inertial neural networks (INNs) with mixed-state time-varying delays, proposing novel analytical approach. Firstly, we establish FTS lemma, which is entirely different from existing theorems, and extend current research results. Secondly, an improved discontinuous reliable control mechanism developed, more valid widens application scope compared to previous Then, by using non-reduced order approach (NROA) Lyapunov functional theory, sufficient criteria are established theorems estimate settling time respect stabilization INNs. Finally, simulation results given validate usefulness theoretical