The issue of a novel finite -time stability and stabilization design for a class of nonlinear impulsive systems is discussed in this paper. In previous finite -time control designs for impulsive systems, the convergence rate of these control strategies is even less rapid than the exponential convergence rate when the initial state is distant from the origin. To overcome this problem, two sufficient conditions for the novel finite -time stability of impulsive systems are presented, in which the stabilizing impulses and the destabilizing impulses are considered, respectively. Meanwhile, the upper bound of the settling -time is evaluated. In addition, combining Lyapunov functions theory with impulsive control, we design a controller for impulsive dynamical systems to satisfy the novel finite -time stability. Finally, two simulation examples are given, in which the first example demonstrates the superiority of the proposed finite -time stability criterion for nonlinear impulsive systems by comparing it with traditional finite -time stability, and the second example verifies the effectiveness of the presented controller.
机构:
the School of Automation Engineering,University of Electronic Science and Technology of Chinathe School of Automation Engineering,University of Electronic Science and Technology of China
Lanfeng Hua
Hong Zhu
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the School of Automation Engineering,University of Electronic Science and Technology of Chinathe School of Automation Engineering,University of Electronic Science and Technology of China
Hong Zhu
Shouming Zhong
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机构:
the School of Mathematics Sciences, University of Electronic Science and Technology of Chinathe School of Automation Engineering,University of Electronic Science and Technology of China
Shouming Zhong
Kaibo Shi
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IEEE
the School of Electronic Information and Electrical Engineering, Chengdu Universitythe School of Automation Engineering,University of Electronic Science and Technology of China
Kaibo Shi
Jinde Cao
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IEEE
the School of Mathematics, Southeast University
the Yonsei Frontier Laborary, Yonsei Universitythe School of Automation Engineering,University of Electronic Science and Technology of China
机构:
Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
Wu, Jie
Li, Xiaodi
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Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
Shandong Normal Univ, Ctr Control & Engn Computat, Jinan, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
Li, Xiaodi
Xie, Xiang
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Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
机构:
Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
Shandong Normal Univ, Shandong Prov Key Lab Med Phys & Image Proc Techn, Jinan 250014, Shandong, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
Li, Xiaodi
Ho, Daniel W. C.
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City Univ Hong Kong, Dept Math, Hong Kong, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
Ho, Daniel W. C.
Cao, Jinde
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机构:
Southeast Univ, Jiangsu Prov Key Lab Networked Collect Intelligen, Nanjing 210096, Jiangsu, Peoples R China
Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
机构:
Shandong Univ Finance & Econ, Sch Math & Quantitat Econ, Jinan 250014, Peoples R ChinaShandong Univ Finance & Econ, Sch Math & Quantitat Econ, Jinan 250014, Peoples R China
Xi, Qiang
Liang, Zhanlue
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Univ Waterloo, Fac Math, Dept Appl Math, Waterloo, ON N2L 3G1, CanadaShandong Univ Finance & Econ, Sch Math & Quantitat Econ, Jinan 250014, Peoples R China
Liang, Zhanlue
Li, Xiaodi
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Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R ChinaShandong Univ Finance & Econ, Sch Math & Quantitat Econ, Jinan 250014, Peoples R China