This paper presents new results on robust positively invariant (RPI) sets for linear discrete-time systems with additive disturbances. In particular, we study how RPI sets change with scaling of the disturbance set. More precisely, we show that many properties of RPI sets crucially depend on a unique scaling factor, which determines the transition from nonempty to empty RPI sets. We characterize this critical scaling factor, present an efficient algorithm for its computation, and analyze it for a number of examples from the literature
This note describes a method to calculate sets of safe initial conditions for polytopic linear syste...
International audienceThis paper proposes an invariant-set based minimal detectable fault (MDF) comp...
We propose a novel algorithm to compute low-complexity polytopic robust control invariant (RCI) sets...
This paper introduces methods of deriving and computing maximal robust positively invariant sets for...
Abstract: This paper considers linear dynamical systems subject to additive and bounded disturbances...
International audienceThe objective of this chapter is to present a methodology for computing robust...
A procedure and theoretical results are presented for the problem of determining a minimal robust po...
International audienceInvariant set theory has been recognized as an important tool for control desi...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Certain problems concerning state constraints and control constraints can often be reduced to the st...
Set invariance plays a fundamental role in the analysis and design of linear systems. This paper pro...
International audienceThis paper deals with the problem of computing the minimal robustly positive i...
This paper deals with robust invariant sets construction for discrete-time linear time-invariant dyn...
In this article the problem of characterizing sets, described by vector nonlinear inequalities of th...
This article deals with fault tolerant multisensor control schemes for systems with linear dynamics....
This note describes a method to calculate sets of safe initial conditions for polytopic linear syste...
International audienceThis paper proposes an invariant-set based minimal detectable fault (MDF) comp...
We propose a novel algorithm to compute low-complexity polytopic robust control invariant (RCI) sets...
This paper introduces methods of deriving and computing maximal robust positively invariant sets for...
Abstract: This paper considers linear dynamical systems subject to additive and bounded disturbances...
International audienceThe objective of this chapter is to present a methodology for computing robust...
A procedure and theoretical results are presented for the problem of determining a minimal robust po...
International audienceInvariant set theory has been recognized as an important tool for control desi...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Certain problems concerning state constraints and control constraints can often be reduced to the st...
Set invariance plays a fundamental role in the analysis and design of linear systems. This paper pro...
International audienceThis paper deals with the problem of computing the minimal robustly positive i...
This paper deals with robust invariant sets construction for discrete-time linear time-invariant dyn...
In this article the problem of characterizing sets, described by vector nonlinear inequalities of th...
This article deals with fault tolerant multisensor control schemes for systems with linear dynamics....
This note describes a method to calculate sets of safe initial conditions for polytopic linear syste...
International audienceThis paper proposes an invariant-set based minimal detectable fault (MDF) comp...
We propose a novel algorithm to compute low-complexity polytopic robust control invariant (RCI) sets...