This paper collects a number of recent results on stability and L(2) gain of switched linear systems (both deterministic and stochastic) under a dwell time constraint. The switching signal orchestrates the commutations between linear systems (in the deterministic case) or Markov jump linear systems (in the stochastic case). In the latter case, the switching affects both the dynamics of the underlying systems and the associated transition probability matrices. The main focus is on the computation of the minimum dwell time ensuring stability and an upper bound of the L(2) gain, in the deterministic case, or stochastic stability (both in the mean square sense and almost sure sense), in the stochastic case. Being the minimum dwell time very hardly computable, viable procedures are proposed for a computation of an upper bound through Kronecker calculus, standard H(infinity) theory and coupled Lyapunov inequalities
Dwell time analysis of deterministic and stochastic switched systems
P Colaneri
2009
Abstract
This paper collects a number of recent results on stability and L(2) gain of switched linear systems (both deterministic and stochastic) under a dwell time constraint. The switching signal orchestrates the commutations between linear systems (in the deterministic case) or Markov jump linear systems (in the stochastic case). In the latter case, the switching affects both the dynamics of the underlying systems and the associated transition probability matrices. The main focus is on the computation of the minimum dwell time ensuring stability and an upper bound of the L(2) gain, in the deterministic case, or stochastic stability (both in the mean square sense and almost sure sense), in the stochastic case. Being the minimum dwell time very hardly computable, viable procedures are proposed for a computation of an upper bound through Kronecker calculus, standard H(infinity) theory and coupled Lyapunov inequalitiesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.