H
Haibo Jiang
Researcher at Jiangsu University
Publications - 49
Citations - 854
Haibo Jiang is an academic researcher from Jiangsu University. The author has contributed to research in topics: Nonlinear system & Fuzzy control system. The author has an hindex of 14, co-authored 46 publications receiving 685 citations. Previous affiliations of Haibo Jiang include Yangzhou University.
Papers
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Grazing-induced bifurcations in impact oscillators with elastic and rigid constraints
TL;DR: In this paper, the impact oscillators with one-sided elastic and rigid constraints were investigated by a path-following (continuation) method and the grazing bifurcations were computed and classified for both oscillators.
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Hidden chaotic attractors in a class of two-dimensional maps
TL;DR: In this article, the hidden dynamics of a class of two-dimensional maps inspired by the Henon map are studied. But the authors focus on three typical scenarios which may generate hidden dynamics, i.e., no fixed point, single fixed point and two fixed points.
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Impulsive synchronization of networked nonlinear dynamical systems
Haibo Jiang,Qinsheng Bi +1 more
TL;DR: In this article, an impulsive control protocol is designed for network with fixed topology based on the local information of agents, and sufficient conditions are given to guarantee the synchronization of the networked nonlinear dynamical system.
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Consensus of multi-agent linear dynamic systems via impulsive control protocols
TL;DR: An impulsive control protocol is designed for network with fixed topology based on the local information of agents and sufficient conditions are given to guarantee the consensus of the multi-agent linear dynamic systems by the theory of impulsive systems.
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Hybrid adaptive and impulsive synchronisation of uncertain complex dynamical networks by the generalised Barbalat's lemma
TL;DR: In this article, robust local and global hybrid adaptive and impulsive synchronisation for a class of uncertain complex dynamical networks is investigated, where hybrid adaptive controllers are designed based on adaptive control theory.