Risk-Sensitive Optimal Control

E695667

Risk-Sensitive Optimal Control is a foundational work in control theory that develops methods for designing controllers that explicitly account for uncertainty and variability in system performance.

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Predicate Object
instanceOf book
scholarly monograph
addresses model uncertainty in control systems
performance robustness
trade-off between performance and risk
aimsTo improve reliability of controlled systems
incorporate risk preferences into control design
limit probability of poor performance outcomes
appliesTo linear systems with noise
nonlinear stochastic systems
stochastic dynamical systems
contributionTo robust control methodologies
theory of stochastic optimal control
develops control laws that account for performance variability
methods for risk-sensitive controller design
optimization criteria that penalize risk
field control theory
optimal control
stochastic control
focusesOn design of controllers under uncertainty
risk-sensitive control
uncertainty in system performance
variability in system performance
influenced applications in engineering systems
applications in finance and economics
subsequent research in risk-aware control
isDescribedAs foundational work in risk-sensitive control theory
framework for optimal control under uncertainty
relatedTo H-infinity control NERFINISHED
risk-averse decision making
robust optimal control
usesConcept exponential-of-integral performance index
risk-sensitive cost function
stochastic dynamic programming

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Peter Whittle notableWork Risk-Sensitive Optimal Control