Error bounds on stochastic approximates in discrete nonlinear dynamical systems
A mean-square error bound associated with gains utilised in stochastic approximation procedures is derived here. A specific bound is obtained for the case when the forcing function is a white noise process and the gain is specified.
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Comment on the use of stochastic approximation for state estimation in discrete nonlinear dynamical systems