Hong-Bing Zeng

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This paper is concerned with the problem of stability of neural networks with time-varying delays. A novel Lyapunov-Krasovskii functional decomposing the delays in all integral terms is proposed. By exploiting all possible information and considering independent upper bounds of the delay derivative in various delay intervals, some new generalized(More)
The integral inequality technique is widely used to derive delay-dependent conditions, and various integral inequalities have been developed to reduce the conservatismof the conditions derived. In this study, a new integral inequalitywas devised that is tighter than existing ones. It was used to investigate the stability of linear systems with a discrete(More)
This paper focuses on the problem of delaydependent dissipativity analysis for a class of neural networks with time-varying delays. A free-matrix-based inequality method is developed by introducing a set of slack variables, which can be optimized via existing convex optimization algorithms. Then, by employing Lyapunov functional approach, sufficient(More)
The passivity of neural networks with a time-varying delay and norm-bounded parameter uncertainties is investigated in this paper. A complete delay-decomposing approach is employed to construct a Lyapunov-Krasovskii functional. Then, by utilizing a segmentation technique to consider the time-varying delay and its derivative and introducing some(More)
This paper focuses on the delay-dependent stability of a class of generalized neural networks (NNs) with time-varying delays. A free-matrix-based inequality is presented by introducing a set of slack variables, which encompasses the Wirtingerbased inequality as a special case. Then, by constructing a suitable Lyapunov-Krasovskii functional and utilizing the(More)
UNLABELLED The utilization of immunosuppressive agents presents patients with autoimmune nephrosis at a high risk of infection. The present trial was to investigate the efficacy and safety of Broncho-Vaxom on preventing infection in immunosuppressive patients with autoimmune nephrosis. METHODS 40 patients with autoimmune nephrosis were randomly divided(More)