H
Hong-Bing Zeng
Researcher at Hunan University of Technology
Publications - 73
Citations - 3997
Hong-Bing Zeng is an academic researcher from Hunan University of Technology. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 28, co-authored 58 publications receiving 2926 citations. Previous affiliations of Hong-Bing Zeng include Yeungnam University & Curtin University.
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Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay
TL;DR: A new integral inequality is presented, called a free-matrix-based integral inequality, that further reduces the conservativeness in those methods used to derive delay-dependent criteria for the stability analysis of time-varying-delay systems.
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New results on stability analysis for systems with discrete distributed delay
TL;DR: A new integral inequality was devised that is tighter than existing ones that was used to investigate the stability of linear systems with a discrete distributed delay, and a new stability condition was established.
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Stability analysis of systems with time-varying delay via relaxed integral inequalities
TL;DR: Two novel integral inequalities based on the combination of Wirtinger-based inequality and reciprocally convex lemma can provide smaller bounding gap without requiring any extra slack matrix in linear systems with a time-varying delay.
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A new looped-functional for stability analysis of sampled-data systems
TL;DR: Numerical examples show that the result computed by the presented condition approximates nearly the theoretical bound (bound obtained by eigenvalue analysis) and outperforms substantially others in the existing literature.
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A generalized free-matrix-based integral inequality for stability analysis of time-varying delay systems
TL;DR: A generalized free-matrix-based integral inequality (GFMBII) is presented that overcomes the drawback that the Bessel–Legendre inequality is inconvenient to cope with a time-varying delay system as the resultant bound contains a reciprocal convexity.