Paper
25 May 2012 A statistical approach for performance analysis of uncertain systems
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Abstract
In this paper, we propose a statistical approach for analyzing the performance of uncertain systems. By treating the uncertain parameters of systems as random variables, we formulate a wide class of performance analysis problems as a general problem of quantifying the deviation of a random variable from its mean value. New concentration inequalities are developed to make such quantification rigorous and analytically simple. Application examples are given for demonstrating the power of our approach.
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Xinjia Chen "A statistical approach for performance analysis of uncertain systems", Proc. SPIE 8387, Unmanned Systems Technology XIV, 83871M (25 May 2012); https://doi.org/10.1117/12.918917
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Cited by 6 scholarly publications.
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KEYWORDS
Stochastic processes

Statistical analysis

Magnesium

Monte Carlo methods

Control systems

Fourier transforms

Zinc

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