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New results on stability and H∞ performance analysis for aperiodic sampled-data systems via augmented Lyapunov
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.
This study enhances stability and H∞ performance analysis for aperiodic sampled-data systems using an improved Lyapunov functional. The new method offers less conservative results for system stability and performance evaluation.
Area of Science:
- Control Systems Engineering
- Systems Theory
- Applied Mathematics
Background:
- Aperiodic sampled-data systems present challenges in stability and H∞ performance analysis.
- Lyapunov-Krasovskii theory and augmented Lyapunov functionals are standard approaches.
- Existing methods can be conservative, limiting their applicability.
Purpose of the Study:
- To develop a less conservative method for analyzing stability and H∞ performance.
- To improve the analysis of aperiodic sampled-data systems.
- To introduce an enhanced Lyapunov functional for more accurate system evaluation.
Main Methods:
- Utilizing an improved augmented Lyapunov functional.
- Incorporating the double-side looped-functional technique.
- Focusing on sampling-instant-dependent state variables for reduced conservatism.
Main Results:
- The proposed Lyapunov functional captures state variables more comprehensively.
- Sufficient cross-terms are generated, leading to reduced conservatism.
- The method provides less conservative results for stability and H∞ performance analysis.
Conclusions:
- The enhanced Lyapunov functional offers superior performance analysis for aperiodic systems.
- The proposed approach effectively reduces conservatism in stability analysis.
- Numerical examples confirm the superiority of the developed methods.
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