This paper introduces methods of deriving and computing maximal robust positively invariant sets for linear discrete time systems with additive model uncertainty. Two types of uncertainty are considered: state dependent uncertainty, which can handle multiplicative parametric model uncertainty as well as linearisation errors for nonlinear systems, and scaled sets of uncertainty. We provide a framework for analysing both types of uncertainty with illustrative examples
International audienceThis paper proposes an invariant-set based minimal detectable fault (MDF) comp...
The problems of Extended Strict Positive Realness (ESPR) analysis and synthesis for a class of discr...
Le travail de recherche concrétisé par ce mémoire de thèse se trouve à l’intersection de deux domain...
This paper introduces methods of deriving and computing maximal robust positively invariant sets for...
International audienceThe objective of this chapter is to present a methodology for computing robust...
In this article a novel approach to the determination of polytopic invariant sets for constrained di...
This paper presents new results on robust positively invariant (RPI) sets for linear discrete-time s...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
In this article the problem of characterizing sets, described by vector nonlinear inequalities of th...
Certain problems concerning state constraints and control constraints can often be reduced to the st...
This thesis deals with the robust control of nonlinear systems subject to persistent bounded non-add...
We propose a novel algorithm to compute low-complexity polytopic robust control invariant (RCI) sets...
This article deals with fault tolerant multisensor control schemes for systems with linear dynamics....
Paper on stochastic invarianceInternational audienceIn this paper a constructive method to determine...
International audienceThis paper proposes an invariant-set based minimal detectable fault (MDF) comp...
The problems of Extended Strict Positive Realness (ESPR) analysis and synthesis for a class of discr...
Le travail de recherche concrétisé par ce mémoire de thèse se trouve à l’intersection de deux domain...
This paper introduces methods of deriving and computing maximal robust positively invariant sets for...
International audienceThe objective of this chapter is to present a methodology for computing robust...
In this article a novel approach to the determination of polytopic invariant sets for constrained di...
This paper presents new results on robust positively invariant (RPI) sets for linear discrete-time s...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
In this article the problem of characterizing sets, described by vector nonlinear inequalities of th...
Certain problems concerning state constraints and control constraints can often be reduced to the st...
This thesis deals with the robust control of nonlinear systems subject to persistent bounded non-add...
We propose a novel algorithm to compute low-complexity polytopic robust control invariant (RCI) sets...
This article deals with fault tolerant multisensor control schemes for systems with linear dynamics....
Paper on stochastic invarianceInternational audienceIn this paper a constructive method to determine...
International audienceThis paper proposes an invariant-set based minimal detectable fault (MDF) comp...
The problems of Extended Strict Positive Realness (ESPR) analysis and synthesis for a class of discr...
Le travail de recherche concrétisé par ce mémoire de thèse se trouve à l’intersection de deux domain...