Random Sequence Model for Nonlinear Systems
The random sequence model of data dropouts is addressed in this chapter for affine nonlinear systems with measurement noises. As an extension of the linear system case, we focus on the almost sure convergence for both intermittent and successive update schemes. For nonlinear systems, the lifting technique is no longer applicable and thus we employ the mathematical induction method to complete the convergence proof.
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