Synchronization of Markov jump neural networks with two delay components via Affine transformed sampled-data control with actuator saturation

• Published in: European physical journal plus Vol. 139; no. 10; p. 913
• Main Authors: Subhashri, A. R., Radhika, T.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 21.10.2024; Springer Nature B.V
• Subjects: Actuators; Affine transformations; Applied and Technical Physics; Atomic; Communication; Complex Systems; Condensed Matter Physics; Control algorithms; Controllers; Dynamical systems; Functionals; Linear matrix inequalities; Markov analysis; Mathematical and Computational Physics; Molecular; Neural networks; Optical and Plasma Physics; Parameter modification; Physics; Physics and Astronomy; Regular Article; Signal processing; State vectors; Stochastic models; Theoretical; Time lag; Time synchronization; Time varying control; Upper bounds; Weighting functions

In this paper, in contrast to the existing findings the synchronization criteria for chaotic neural networks (CNNs) with sampled data control is analysed by a new integral inequality. The proposed method incorporates a parameterized controller that depends on the activation function and includes act...