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On the Minimal Robust Positively Invariant Set for Linear Difference Inclusions
85
Citations
22
References
2006
Year
Unknown Venue
Nonlinear ControlLinear Difference InclusionsEngineeringVariational AnalysisState ObserverRobust ControlMathematical Control TheoryExtremal Set TheoryFunctional AnalysisClose Outer RobustAdditive State DisturbanceApproximation TheoryLinear ControlVariational InequalityComplementarity ProblemStability
This paper provides a new and efficient method for the computation of an arbitrarily close outer robust positively invariant (RPI) approximation to the minimal robust positively invariant (mRPI) set for linear difference inclusions. It is assumed that the linear difference inclusion is absolutely asymptotically stable (AAS) in the absence of an additive state disturbance, which is the case for parametrically uncertain or switching linear discrete-time systems controlled by a stabilizing linear state feedback controller.
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