Gain-scheduled filter design with different time delays for TS fuzzy systems

MS Aslam, H Bilal, Z Anjum - Transactions of the Institute of …, 2024 - journals.sagepub.com
In this article, the authors study a problem of parameter-varying systems that gain-scheduled
H∞ filtering TS fuzzy problems by appearing of time-varying delays. Our paper also aims to …

Global Robust Exponential Synchronization of Neutral-Type Interval Cohen–Grossberg Neural Networks with Mixed Time Delays

X Wang, J Lan, X Yang, X Zhang - Information Sciences, 2024 - Elsevier
Global robust exponential synchronization of neutral-type interval Cohen–Grossberg neural
networks (NTICGNNs) with mixed time delays is analyzed in this paper. The system model …

Passivity and robust passivity of impulsive inertial neural networks with proportional delays under the non-reduced order approach

J Zhang, S Zhu - Neurocomputing, 2024 - Elsevier
This paper primarily addresses the problems of passivity and robust passivity of impulsive
inertial neural networks (IINNs) with proportional delays. By constructing the Lyapunov …

h-stability-based l2− l∞ state estimation of discrete-time nonlinear systems with time-varying delays

H Zhang, X Zhang, T Yu - Journal of the Franklin Institute, 2024 - Elsevier
In this paper, the l 2− l∞ state estimation problem of discrete-time nonlinear systems
(DTNSs) with time-varying delay is studied. The main objective of this paper is to design a …

Chaotic behavior of two discrete-time coupled neurons with two delays

W Liang, Y Zhang, X Zhang - Chaos, Solitons & Fractals, 2024 - Elsevier
Two discrete-time coupled neurons with two delays are considered. For different values of
the coupling weight, different transformations are performed on this system, and it is found …

Design of an event-triggered extended dissipative state estimator for neural networks with multiple time-varying delays

A Karnan, G Soundararajan, G Nagamani… - The European Physical …, 2024 - Springer
This paper examines the issue of designing an extended dissipative state estimator for a
class of neural networks with multiple time-varying delays. The novelty of this problem lies in …