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Online convex optimization for robust control of constrained dynamical systems
This article investigates the problem of controlling linear time-invariant systems subject to time-varying and a priori unknown cost functions, state and input constraints, and exogenous disturbances.
Online convex optimization for constrained control of linear systems using a reference governor
In this work, we propose a control scheme for linear systems subject to pointwise in time state and input constraints that aims to minimize time-varying and a priori unknown cost functions.
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