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.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call