New results on stability and H∞ performance analysis for aperiodic sampled-data systems via augmented Lyapunov functional
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
Zhen-Man Gao1, Yong He2, Guo-Ping Liu3
1School of Automation, China University of Geosciences, Wuhan 430074, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China; School of Engineering, University of Southwales, Pontypridd CF37 1DL, United Kingdom.
Abstract:
This paper focuses on the stability and H∞ performance analysis problems for aperiodic sampled-data systems. An augmented Lyapunov functional is commonly used to study the stability issue based on Lyapunov-Krasovskii theory. To obtain less-conservative results for aperiodic sampled-data systems, an improved augmented Lyapunov functional, which includes the sampling-instant-dependent state variables more fully, is presented on the basis of the double-side looped-functional technique. This functional provides sufficient cross-terms among state variables, which helps to reduce the conservatism. By the functional, the asymptotical stability and H∞ performance analysis of the aperiodic sampled-data systems are studied. In the end, four numerical examples are given to verify the superiority of the proposed methods.
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