Unified dissipativity state estimation for delayed generalized impulsive neural networks with leakage delay effects

(LMIs). As a response, a new delayed-dependent criterion for establishing whether the estimated error network is unified dissipative is developed. By modifying the values of the suitable matrices, the notion of a unified dissipativity-based estimating state may be used to find the multi-dynamic state estimation of GINNs. The recommended technique’s benefit is displayed by multiple numerical examples, one of which was sponsored by a practical implementation of the benchmark problem (i.e., the quadruple-tank process system (QTPS)) that is involved with reasonable issues, particularly the impulse impacts in the sense of a unified dissipativity performance.