Title :
Stability of a Class of Hybrid Linear Stochastic Systems
Author :
Gerencsér, László ; Prokaj, Vilmos
Author_Institution :
MTA SZTAKI, Budapest, Hungary
fDate :
5/1/2010 12:00:00 AM
Abstract :
The objective of the paper is to establish L q-stability results for the state processes of a new class of slowly time-varying hybrid continuous-time linear stochastic systems. The systems are hybrid in the sense that jumps both in the dynamics and the state may occur. In both cases a jump amounts to resetting to an initial value. Jump-times are defined by a more or less arbitrary point process. Most of the analysis is based on a carefully organized stochastic Lyapunov-function argument. We motivate our study by a brief summary of some basic problems in continuous-time recursive estimation of linear stochastic systems within a framework analogous to the one developed by Benveniste et al.
Keywords :
Lyapunov methods; continuous time systems; linear systems; recursive estimation; stability; stochastic systems; Lq-stability; continuous-time recursive estimation; jump-times; stochastic Lyapunov-function; time-varying hybrid continuous-time linear stochastic systems; Finance; Hybrid power systems; Maximum likelihood estimation; Pricing; Probability; Recursive estimation; Stability; Stability criteria; Statistics; Stochastic processes; Stochastic systems; Time varying systems; Jump processes; Lyapunov methods; stability criteria; stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2010.2042353