Moment stability of stochastic processes with applications to control systems
@inproceedings{Ganguly2022MomentSO, title={Moment stability of stochastic processes with applications to control systems}, author={Arnab Ganguly and Debasish Chatterjee}, year={2022} }
We establish new conditions for obtaining uniform bounds on the moments of discretetime stochastic processes. Our results require a weak negative drift criterion along with a statedependent restriction on the sizes of the one-step jumps of the processes. The state-dependent feature of the results make them suitable for a large class of multiplicative-noise processes. Under the additional assumption of Markovian property, new result on ergodicity has also been proved. There are several…
References
SHOWING 1-10 OF 31 REFERENCES
An Excursion-Theoretic Approach to Stability of Discrete-Time Stochastic Hybrid Systems
- Mathematics
- 2009
We address stability of a class of Markovian discrete-time stochastic hybrid systems. This class of systems is characterized by the state-space of the system being partitioned into a safe or target…
Stability of Markovian processes III: Foster–Lyapunov criteria for continuous-time processes
- MathematicsAdvances in Applied Probability
- 1993
In Part I we developed stability concepts for discrete chains, together with Foster–Lyapunov criteria for them to hold. Part II was devoted to developing related stability concepts for…
Stability of Markovian processes I: criteria for discrete-time Chains
- MathematicsAdvances in Applied Probability
- 1992
In this paper we connect various topological and probabilistic forms of stability for discrete-time Markov chains. These include tightness on the one hand and Harris recurrence and ergodicity on the…
Locally contracting iterated functions and stability of Markov chains
- MathematicsJournal of Applied Probability
- 2001
We consider Markov chains in the context of iterated random functions and show the existence and uniqueness of an invariant distribution under a local contraction condition combined with a drift…
Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input
- MathematicsIEEE Transactions on Automatic Control
- 2010
Control policies are constructed that ensure bounded variance of a noisy marginally stable linear system in closed-loop that is mutually independent sequence of random vectors and enters the dynamics affinely.
Stability of Markovian processes II: continuous-time processes and sampled chains
- MathematicsAdvances in Applied Probability
- 1993
In this paper we extend the results of Meyn and Tweedie (1992b) from discrete-time parameter to continuous-parameter Markovian processes Φ evolving on a topological space. We consider a number of…
Jump linear systems in automatic control
- Mathematics
- 1990
This book is a monograph on hybrid parameter processes that are characterized by the presence of a discrete parameter and continuous variables. The author considers stochastic models in which the…
Second-order discretization schemes of stochastic differential systems for the computation of the invariant law
- Mathematics, Computer Science
- 1990
Methods which are of Second Order for the Approximation of in Finite Time are shown to be Generically of Second order for the Ergodic Criterion.
Iterated Function Systems and Spectral Decomposition of the Associated Markov Operator
- Physics
- 1993
We consider a discrete-Markov chain on a locally compact metric space (X, d) obtained by randomly iterating maps Ti, i ∈ IN, such that the probability pi(x) of choosing a map Ti at each step depends…