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simultaneous perturbation stochastic approximation.
discrete simultaneous perturbation stochastic approximation.
This is done iteratively using stochastic approximation.
The developed weight adaptive laws use a stochastic approximation algorithm.
A modification of the estimation algorithm stochastic approximation is presented.
Both off and on line learning rely on stochastic approximation.
The latter is a standard aspect of stochastic approximation theory.
The simultaneous perturbation stochastic approximation (SPSA) algorithm is then used to determine a solution.
In this case, the stochastic approximation approach allows the computation of the cost function derivatives.
The general optimal scheduling problem is formulated and tackled by simulation-based stochastic approximation methods.
A simultaneous perturbation stochastic approximation (SPSA) based method is used to optimize the variable SOC target.
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