Abstract
The chapter clearly illustrates the use of decision analysis in clarifying the issues surrounding a robust control for the class of uncertain time-delay stochastic systems. A resilient control that has been developed on the basis of expected values and measures of dispersion was shown to depend more fundamentally on the question of encoding uncertainty, risk aversion and information gathering for control design optimization. Consequently, the synthesis of risk-averse feedback controller is the presentation of an unified framework for applying statistical measures of risk. The ultimate limitation to its applicability lies not in its ability to cope with performance reliability but in the control designer’s desire to be risk averse.
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Pham, K.D. (2014). Resilient Control of A Class of Uncertain Time-Delay Systems. In: Resilient Controls for Ordering Uncertain Prospects. Springer Optimization and Its Applications, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-08705-4_7
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DOI: https://doi.org/10.1007/978-3-319-08705-4_7
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