The algorithmic analysis of hybrid systems
Theoretical Computer Science - Special issue on hybrid systems
Robust multi-objective feedback design by quantifier elimination
Journal of Symbolic Computation - Special issue: applications of quantifier elimination
Simplification of quantifier-free formulae over ordered fields
Journal of Symbolic Computation - Special issue: applications of quantifier elimination
Discrete Event Dynamic Systems
Structure preservation: a challenge in computational control
Future Generation Computer Systems - Selected papers on theoretical and computational aspects of structural dynamical systems in linear algebra and control
Krylov subspace methods for large-scale matrix problems in control
Future Generation Computer Systems - Selected papers on theoretical and computational aspects of structural dynamical systems in linear algebra and control
Automatic differentiation and nonlinear controller design by exact linearization
Future Generation Computer Systems
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
Revisiting some control schemes for chaotic synchronization with mathematica
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Symbolic/numeric analysis of chaotic synchronization with a CAS
Future Generation Computer Systems
Proceedings of the 2009 conference on Symbolic numeric computation
CASC'11 Proceedings of the 13th international conference on Computer algebra in scientific computing
Variant quantifier elimination
Journal of Symbolic Computation
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We have been developing a toolbox on Maple, called SyNRAC, for solving real algebraic constraints derived from various engineering problems. Its main tools are real quantifier elimination and the simplification of quantifier-free formulas. We illustrate algorithms implemented in SyNRAC, give some examples of how its commands are used, and present its application to design problems in systems and control theory.