Part of the Communications and Control Engineering book series (CCE)
Parameter Adaptation Algorithms—Stochastic Environment
This chapter is dedicated to the analysis of parameter adaptation algorithms in a stochastic environment. Techniques based on averaging and martingales will be used in order to assess the behavior of the algorithms.
KeywordsEquilibrium Point Prediction Error Output Error Deterministic Case Stochastic Environment
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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