International audienceWe investigate decoupling abstractions, by which we seek to simulate (i.e. abstract) a given system of ordinary differential equations (ODEs) by another system that features completely independent (i.e. uncoupled) subsystems , which can be considered as separate systems in their own right. Beyond a purely mathematical interest as a tool for the qualitative analysis of ODEs, decoupling can be applied to verification problems arising in the fields of control and hybrid systems. Existing verification technology often scales poorly with dimension. Thus, reducing a verification problem to a number of independent verification problems for systems of smaller dimension may enable one to prove properties that are otherwise seen...
Complex systems can be described by coupling several standalone ODE problems that communicate with i...
International Symposium on Symbolic and Algebraic ComputationInternational audienceThe goal of the p...
This paper studies the expressive and computational power of discrete Ordinary Differential Equation...
International audienceWe investigate decoupling abstractions, by which we seek to simulate (i.e. abs...
Ordinary differential equations (ODEs) are the primary means to modelling dynamical systems in many ...
We develop new upper bounds for several effective differential elimination techniques for systems of...
International audienceThis paper presents a method for generating semi-algebraic invariants for syst...
International audienceVarious open problems have been recently solved using Ordinary Differential Eq...
We introduce an approach to conservatively abstract a nonlinear continuous system by a hybrid automa...
Increasing complexity of mathematical models demands techniques of model order reduction (MOR) that ...
This thesis is concerned with the problem of formal verification of correctness specifications for ...
Modern control-command systems often include controllers that perform nonlinear computations to cont...
We introduce polynomial couplings, a generalization of probabilistic couplings, to develop an algori...
International audienceWe provide a new framework for a posteriori validation of vector-valued proble...
We discuss the realization problem for nonlinear systems which are not given by a nonlinear input-ou...
Complex systems can be described by coupling several standalone ODE problems that communicate with i...
International Symposium on Symbolic and Algebraic ComputationInternational audienceThe goal of the p...
This paper studies the expressive and computational power of discrete Ordinary Differential Equation...
International audienceWe investigate decoupling abstractions, by which we seek to simulate (i.e. abs...
Ordinary differential equations (ODEs) are the primary means to modelling dynamical systems in many ...
We develop new upper bounds for several effective differential elimination techniques for systems of...
International audienceThis paper presents a method for generating semi-algebraic invariants for syst...
International audienceVarious open problems have been recently solved using Ordinary Differential Eq...
We introduce an approach to conservatively abstract a nonlinear continuous system by a hybrid automa...
Increasing complexity of mathematical models demands techniques of model order reduction (MOR) that ...
This thesis is concerned with the problem of formal verification of correctness specifications for ...
Modern control-command systems often include controllers that perform nonlinear computations to cont...
We introduce polynomial couplings, a generalization of probabilistic couplings, to develop an algori...
International audienceWe provide a new framework for a posteriori validation of vector-valued proble...
We discuss the realization problem for nonlinear systems which are not given by a nonlinear input-ou...
Complex systems can be described by coupling several standalone ODE problems that communicate with i...
International Symposium on Symbolic and Algebraic ComputationInternational audienceThe goal of the p...
This paper studies the expressive and computational power of discrete Ordinary Differential Equation...