Paper on stochastic invarianceInternational audienceIn this paper a constructive method to determine and compute probabilistic reachable and invariant sets for linear discrete-time systems, excited by a stochastic disturbance, is presented. The samples of the disturbance signal are not assumed to be uncorrelated, only bounds on the mean and the covariance matrices are supposed to be known. This allows to consider nonlinear stochastic systems approximations and the effect of nonlinear filters on the disturbance. The correlation bound concept is introduced and employed to determine probabilistic reachable sets and probabilistic invariant sets. Constructive methods for their computation, based on convex optimization, are given
FOR A DISCRETE STATIONARY STOCHASTIC LINEAR SYSTEM WITH CORRELATED NOIS...
This letter presents a new class of discrete-time linear stochastic systems with the statistically-c...
This paper proposes a method of approximating positively invariant sets and n-step controllable sets...
Paper on stochastic invarianceInternational audienceIn this paper a constructive method to determine...
In this paper, the problem of stability, recursive feasibility and convergence conditions of stochas...
The notions of invariant sets and ultimate bounds are important concepts in the analysis of dynamica...
We present a novel approach to compute reachable sets of dynamical systems with uncertain initial co...
This paper introduces methods of deriving and computing maximal robust positively invariant sets for...
Predictive control is a very useful tool in controlling constrained systems, since the constraints c...
This paper considers estimating the state of a discrete-time linear system in which the values of an...
The concepts of ultimate bounds and invariant sets play a key role in several control theory problem...
The concepts of ultimate bounds and invariant sets play a key role in several control theory problem...
International audienceThe objective of this chapter is to present a methodology for computing robust...
This thesis formulates versions of observability, reconstructibility, controllability, and reachabil...
This paper deals with the computation of upper bounds for the state covariance matrix of discrete-ti...
FOR A DISCRETE STATIONARY STOCHASTIC LINEAR SYSTEM WITH CORRELATED NOIS...
This letter presents a new class of discrete-time linear stochastic systems with the statistically-c...
This paper proposes a method of approximating positively invariant sets and n-step controllable sets...
Paper on stochastic invarianceInternational audienceIn this paper a constructive method to determine...
In this paper, the problem of stability, recursive feasibility and convergence conditions of stochas...
The notions of invariant sets and ultimate bounds are important concepts in the analysis of dynamica...
We present a novel approach to compute reachable sets of dynamical systems with uncertain initial co...
This paper introduces methods of deriving and computing maximal robust positively invariant sets for...
Predictive control is a very useful tool in controlling constrained systems, since the constraints c...
This paper considers estimating the state of a discrete-time linear system in which the values of an...
The concepts of ultimate bounds and invariant sets play a key role in several control theory problem...
The concepts of ultimate bounds and invariant sets play a key role in several control theory problem...
International audienceThe objective of this chapter is to present a methodology for computing robust...
This thesis formulates versions of observability, reconstructibility, controllability, and reachabil...
This paper deals with the computation of upper bounds for the state covariance matrix of discrete-ti...
FOR A DISCRETE STATIONARY STOCHASTIC LINEAR SYSTEM WITH CORRELATED NOIS...
This letter presents a new class of discrete-time linear stochastic systems with the statistically-c...
This paper proposes a method of approximating positively invariant sets and n-step controllable sets...