Zengqiang Chen

Learn More
A finite-time-convergent differentiator is presented that is based on singular perturbation technique. The merits of this differentiator exist in three aspects: rapidly finite-time convergence compared with other typical differentiators; no chattering phenomenon; and besides the derivatives of the derivable signals, the generalized derivatives of some(More)
This paper investigates average-consensus protocols for multi-agent systems. The control actuation updates considered in this paper are event-driven, depending on a trigger function with respect to a certain measurement error. Then two average-consensus protocols with different trigger functions are proposed and their stability is analyzed. Based on the(More)
The consensus problem in a multi-agent system with general nonlinear coupling is investigated in this paper. It is demonstrated that, under suitable conditions on communication, all agents approach a prescribed value if a small fraction of them are controlled by simple feedback control. The stability analysis is based on a blend of graph-theoretic and(More)
Different from most of recent studies or research on encryption algorithms based on chaotic system, the paper schemes out multiple chaotic system as an encryption approach not only after compressing video streams but also during the processing of compression frame by frame. The so-called multiple chaotic system actually consists of three chaotic or(More)
BACKGROUND Staphylococcus aureus, particularly methicillin-resistant S. aureus (MRSA), is an important cause of pyogenic skin and soft tissue infections (SSTIs). The aim of present study is to investigate the molecular characteristic of Staphylococcus aureus isolates isolated from the pus samples from the patients with purulent skin and soft tissue(More)
With the rapid development of 3D digital shape information, content-based 3D model retrieval has become an important research field. 3D models are likely to be as prevalent as other multimedia data types in the future. There is a pressing need for effective content-based 3D model retrieval methods. In this paper, a novel combined shape distribution (CSD)(More)
A linear model of recurrent neural networks, called the Elman networks, is combined with the simple nonlinear modulo (mod) operation on its linear activated function so as to generate chaos purposely. Conditions on the weight matrix are obtained, under which the generated chaos satisfies the mathematical definition of chaos in the sense of T.Y. Li and J.A.(More)