We propose a combination of heuristic methods to prove properties of control signals for regular systems defined by means of affine recurrence equations (AREs). We benefit from the intrinsic regularity of the polyhedral model to handle parameterized systems in a symbolic way. Despite some restrictions on the form of equations we are able to handle, our techniques apply well for a useful set of properties and led us to discover some errors in actual systems. These techniques have been implemented in the MMAlpha environment
International audienceThe polyhedral model is a high-level intermediate representation for loop nest...
International audienceExplicit model predictive control (EMPC) solves a multi-parametric Quadratic P...
We consider in this thesis the model-checking problem of infinite state systems, namely parametrized...
We propose a combination of heuristic methods to prove properties of control signals for regular sys...
This document deals with formal verification of safety properties in the context of embedded systems...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
The control design techniques for linear or hybrid systems with constraints lead often to off-line s...
Systems of affine recurrence equations (SAREs) over polyhedral domains are widely used to model comp...
The Polyhedral Model is one of the most powerful framework for automatic optimization and paralleliz...
International audienceThe polyhedral model is a powerful framework for automatic optimization and pa...
AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer...
Abstract. The polyhedral model is a powerful framework for automatic optimization and parallelizatio...
Theme 2 - Genie logiciel et calcul symbolique - Projet LandeSIGLEAvailable from INIST (FR), Document...
AbstractIn this paper, we present the tool AVERIST, which implements an algorithmic approach for the...
International audienceThe control design techniques for linear or hybrid systems under constraints l...
International audienceThe polyhedral model is a high-level intermediate representation for loop nest...
International audienceExplicit model predictive control (EMPC) solves a multi-parametric Quadratic P...
We consider in this thesis the model-checking problem of infinite state systems, namely parametrized...
We propose a combination of heuristic methods to prove properties of control signals for regular sys...
This document deals with formal verification of safety properties in the context of embedded systems...
International audienceThe polyhedral model mixes recurrence equations over polyhedral domains and af...
The control design techniques for linear or hybrid systems with constraints lead often to off-line s...
Systems of affine recurrence equations (SAREs) over polyhedral domains are widely used to model comp...
The Polyhedral Model is one of the most powerful framework for automatic optimization and paralleliz...
International audienceThe polyhedral model is a powerful framework for automatic optimization and pa...
AbstractConvex polyhedra are the basis for several abstractions used in static analysis and computer...
Abstract. The polyhedral model is a powerful framework for automatic optimization and parallelizatio...
Theme 2 - Genie logiciel et calcul symbolique - Projet LandeSIGLEAvailable from INIST (FR), Document...
AbstractIn this paper, we present the tool AVERIST, which implements an algorithmic approach for the...
International audienceThe control design techniques for linear or hybrid systems under constraints l...
International audienceThe polyhedral model is a high-level intermediate representation for loop nest...
International audienceExplicit model predictive control (EMPC) solves a multi-parametric Quadratic P...
We consider in this thesis the model-checking problem of infinite state systems, namely parametrized...