This paper describes a new reliable method, based on modal interval analysis (MIA) and set inversion (SI) techniques, for the characterization of solution sets defined by quantified constraints satisfaction problems (QCSP) over continuous domains. The presented methodology, called quantified set inversion (QSI), can be used over a wide range of engineering problems involving uncertain nonlinear models. Finally, an application on parameter identification is presente
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
International audienceThis paper deals with a problem from discrete-time robust control which requir...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...
This paper describes a new reliable method, based on modal interval analysis (MIA) and set inversion...
Abstract. In this paper, a new algorithm based on Set Inversion techniques and Modal Interval Analys...
Les restriccions reals quantificades (QRC) formen un formalisme matemàtic utilitzat per modelar un g...
ABSTRACT This paper introduces a new algorithm for solving a subclass of quantified constraint satis...
International audienceThis paper introduces a new algorithm for solving a sub-class of quantified co...
In this paper we focus on the applications of Quantifier Eliminations (QE) to ControlTheory and we a...
Abstract: The problem of characterizing in a guaranteed way the set of all feasible set-points of a ...
AbstractWe make a number of contributions to the study of the Quantified Constraint Satisfaction Pro...
International audienceThis paper deals with a fault detection method taking model uncertainties desc...
A general framework for computing robust controllable sets of constrained nonlinear uncertain discre...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. V...
Abstract. Quantified Constraint Satisfaction Problems (QCSPs) extend classical CSPs by allowing univ...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
International audienceThis paper deals with a problem from discrete-time robust control which requir...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...
This paper describes a new reliable method, based on modal interval analysis (MIA) and set inversion...
Abstract. In this paper, a new algorithm based on Set Inversion techniques and Modal Interval Analys...
Les restriccions reals quantificades (QRC) formen un formalisme matemàtic utilitzat per modelar un g...
ABSTRACT This paper introduces a new algorithm for solving a subclass of quantified constraint satis...
International audienceThis paper introduces a new algorithm for solving a sub-class of quantified co...
In this paper we focus on the applications of Quantifier Eliminations (QE) to ControlTheory and we a...
Abstract: The problem of characterizing in a guaranteed way the set of all feasible set-points of a ...
AbstractWe make a number of contributions to the study of the Quantified Constraint Satisfaction Pro...
International audienceThis paper deals with a fault detection method taking model uncertainties desc...
A general framework for computing robust controllable sets of constrained nonlinear uncertain discre...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. V...
Abstract. Quantified Constraint Satisfaction Problems (QCSPs) extend classical CSPs by allowing univ...
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Va...
International audienceThis paper deals with a problem from discrete-time robust control which requir...
The quantified constraint satisfaction problem (QCSP) is a powerful framework for modelling computat...