Research on Impulsive Lurie Systems with Time-Delay

Xue Jun Li

doi:10.4028/www.scientific.net/AMR.889-890.633

Paper Titles

Using Mathematical Programming Optimization Work Exchange Networks
p.612

SVM Classification Model Parameters Optimized by Improved Genetic Algorithm
p.617

A New Heuristic Topology Optimization Method Based on Bone Remodeling Model
p.622

The Traveling Wave Solutions of Nonlinear Beam Equations by Tanh-Function Method
p.628

Research on Impulsive Lurie Systems with Time-Delay
p.633

Loader Fatigue Correlation Analysis on the Lab Conditions and Theoretical Calculation
p.637

Numerical Simulation Study of Concrete Beam with Bonding Steel Plates Bending Failure
p.645

Calibration Technology and Axial Error Correction Method
p.653

Analyses on Target Tracking under Quantized Communication
p.658

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 889-890Research on Impulsive Lurie Systems with...

Research on Impulsive Lurie Systems with Time-Delay

Abstract:

Based on stability theory of impulsive differential equation and new comparison theory of impulsive differential system, some simple yet less conservative criteria ensuring impulsive synchronization of the Lurie systems are derived. A numerical example is given to illustrate the effectiveness of the method.

You might also be interested in these eBooks

Engineering Solutions for Manufacturing Processes IV

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 889-890)

Pages:

633-636

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.889-890.633

Citation:

Cite this paper

Online since:

February 2014

Authors:

Xue Jun Li*

Keywords:

Comparison Theory, Impulsive Synchronization, Lurie System, Systematology

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Z.G. Li, C.Y. Wen, Y.C. Soh: IEEE Trans. Automat. Contr. Vol. 46 (2001), p.894.

Google Scholar

[2] J.T. Sun, Y.P. Zhang, L. Wang, Q.D. Wu: Physics A Vol. 304 (2006), p.130.

Google Scholar

[3] J. Zhou, X.H. Cheng, L. Xiang, Y.C. Zhang: Chaos, Solitons& Fractals Vol. 33 (2007), p.607.

Google Scholar

[4] J.T. Sun, Y.P. Zhang, F. Qiao, Q.D. Wu: Chaos, Solitons &Fractals Vol. 19 (2004), p.1049.

Google Scholar

[5] B. Liu, G. R. Chen, K.L. Teo, X.Z. Liu: Chaos, Solitons & Fractals Vol. 23 (2005), p.1629.

Google Scholar

[6] B.J. Xu, X.Z. Liu, X.X., Liao: Computers and Mathematics with Applications Vol. 47 (2004), p.419.

Google Scholar

[7] H. M. Guo, S.M. Zhong: Applied Mathematics and Computation Vol. 191 (2007), p.5509.

Google Scholar

[8] J.D. Cao, H.X. Li, D.W.C. Ho: Chaos, Solitons & Fractals Vol. 23 (2005), p.1285.

Google Scholar

[9] J. Cao, C. Yang, G. Zhou, F. Tang and P. Li: Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications & Algorithms Vol. 14 (2007), p.190.

Google Scholar