Non-Fragile H∞ Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation

• Published in: IEEE transaction on neural networks and learning systems Vol. 34; no. 5; pp. 2682 - 2692
• Main Authors: Shen, Hao, Hu, Xiaohui, Wang, Jing, Cao, Jinde, Qian, Wenhua
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control systems; Control systems design; Controllers; Convexity; Double-layer switching regulation; Dwell time; Frequency modulation; H-infinity control; Markov analysis; Markov chains; Markov jump neural networks; Markov processes; Mathematical models; Neural networks; non-fragile synchronization; Optimization; Regulation; singularly perturbed coupled neural networks (SPCNNs); Stochasticity; Switches; Switching; Synchronism; Synchronization; Transition probabilities

This work explores the <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> synchronization issue for singularly perturbed coupled neural networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties, in which a nove...