Bernoulli Variable Model for Linear Systems
The ILC problem is addressed in this chapter for stochastic linear systems with random data dropouts modeled by a Bernoulli random variable. Both intermittent updating scheme and successive updating scheme are provided on the basis of the available tracking information only and shown to be convergent to the desired input in almost sure sense. In the intermittent updating scheme, the algorithm only updates its control signal when data is successfully transmitted. In the successive updating scheme, the algorithm continuously updates its control signal with the latest available data in each iteration no matter whether the output information of the last iteration is successfully transmitted or lost.
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