International audienceThe problem of robust D-stability analysis with respect to real convex polytopic uncertainties is tackled. A new LMI-based sufficient condition for the existence of parameter-dependent Lyapunov functions is proposed. This condition generalises previously published conditions. Numerical comparisons with quadratic stability results as well as previous results based on parameter dependent Lyapunov functions illustrate the relevance of this new condition. Finally, this result appears to be promising for robust multi-objective performance analysis and control synthesis purposes
In this paper robust stability of state space models with respect to real parametric uncertainty is ...
This work deals with the application of parameter dependent Lyapunov and Lyapunov-Krasovskii functio...
It is known that robust analysis of polytopic systems, i.e. linear system with polytopic state space...
International audienceThe problem of robust D-stability analysis with respect to real convex polytop...
A new robust stability condition for uncertain discrete-time systems with convex polytopic uncertain...
A new robust stability condition for uncertain discrete-time systems with convex polytopic uncertain...
This paper presents an improved robust stability condition for uncertain discrete-time systems with ...
International audienceThe problem of robust matrix root-clustering against additive structured uncer...
International audienceThe problem of robust matrix root-clustering against additive structured uncer...
The robust stability of uncertain linear systems in polytopic domains is investigated in this paper....
Abstract — This paper investigates the robust stability of continuous-time, time-invariant linear un...
In this paper, a less conservative condition for the robust stability of uncertain discrete-time lin...
Robust stability conditions are derived for uncertain 2D linear discrete-time systems, described by ...
In this note, robust stability of state-space models with respect to real parametric uncertainty is ...
In this note, robust stability of state–space models with respect to real parametric uncertainty is ...
In this paper robust stability of state space models with respect to real parametric uncertainty is ...
This work deals with the application of parameter dependent Lyapunov and Lyapunov-Krasovskii functio...
It is known that robust analysis of polytopic systems, i.e. linear system with polytopic state space...
International audienceThe problem of robust D-stability analysis with respect to real convex polytop...
A new robust stability condition for uncertain discrete-time systems with convex polytopic uncertain...
A new robust stability condition for uncertain discrete-time systems with convex polytopic uncertain...
This paper presents an improved robust stability condition for uncertain discrete-time systems with ...
International audienceThe problem of robust matrix root-clustering against additive structured uncer...
International audienceThe problem of robust matrix root-clustering against additive structured uncer...
The robust stability of uncertain linear systems in polytopic domains is investigated in this paper....
Abstract — This paper investigates the robust stability of continuous-time, time-invariant linear un...
In this paper, a less conservative condition for the robust stability of uncertain discrete-time lin...
Robust stability conditions are derived for uncertain 2D linear discrete-time systems, described by ...
In this note, robust stability of state-space models with respect to real parametric uncertainty is ...
In this note, robust stability of state–space models with respect to real parametric uncertainty is ...
In this paper robust stability of state space models with respect to real parametric uncertainty is ...
This work deals with the application of parameter dependent Lyapunov and Lyapunov-Krasovskii functio...
It is known that robust analysis of polytopic systems, i.e. linear system with polytopic state space...