We propose an approach to compute inner and outer-approximations of the sets of values satisfying constraints expressed as arbitrarily quantified formulas. Such formulas arise for instance when specifying important problems in control such as robustness, motion planning or controllers comparison. We propose an interval-based method which allows for tractable but tight approximations. We demonstrate its applicability through a series of examples and benchmarks using a prototype implementation
We present a general approach to planning with a restricted class of universally quantified constra...
Abstract — For a dynamic system with given initial state set, the reachable state set contains the s...
When trying to solve quantified constraints (i.e., first-order formulas over the real numbers) exact...
International audienceComputing a tight inner approximation of the range of a function over some set...
Abstract. This paper introduces two mechanisms for computing over-approximations of sets of reachabl...
For control under uncertainty, interval methods enable us to find a box B=[u−1,u+1] X ... X [u−n,u+n...
This paper presents and compares two methods for checking if a box is included inside the solution s...
AbstractQuantified constraints (i.e. first-order formulae over the real numbers) are often exposed t...
ABSTRACT This paper introduces a new algorithm for solving a subclass of quantified constraint satis...
The Maximum principle in control theory provides necessary optimality conditions for a given traject...
International audienceIn this paper, we show how to compute an over-approximation for the reachable ...
The paper discusses an iterative algorithm for computing approximations to the optimal value functio...
International audienceWe consider the problem of approximating the reachable set of a discrete-time ...
International audienceReachability analysis consists in computing the set of states that are reachab...
This paper presents and compares two methods for checking if a box is included inside the solution s...
We present a general approach to planning with a restricted class of universally quantified constra...
Abstract — For a dynamic system with given initial state set, the reachable state set contains the s...
When trying to solve quantified constraints (i.e., first-order formulas over the real numbers) exact...
International audienceComputing a tight inner approximation of the range of a function over some set...
Abstract. This paper introduces two mechanisms for computing over-approximations of sets of reachabl...
For control under uncertainty, interval methods enable us to find a box B=[u−1,u+1] X ... X [u−n,u+n...
This paper presents and compares two methods for checking if a box is included inside the solution s...
AbstractQuantified constraints (i.e. first-order formulae over the real numbers) are often exposed t...
ABSTRACT This paper introduces a new algorithm for solving a subclass of quantified constraint satis...
The Maximum principle in control theory provides necessary optimality conditions for a given traject...
International audienceIn this paper, we show how to compute an over-approximation for the reachable ...
The paper discusses an iterative algorithm for computing approximations to the optimal value functio...
International audienceWe consider the problem of approximating the reachable set of a discrete-time ...
International audienceReachability analysis consists in computing the set of states that are reachab...
This paper presents and compares two methods for checking if a box is included inside the solution s...
We present a general approach to planning with a restricted class of universally quantified constra...
Abstract — For a dynamic system with given initial state set, the reachable state set contains the s...
When trying to solve quantified constraints (i.e., first-order formulas over the real numbers) exact...