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Stochastic distribution control (SDC) systems are known to have the 2-D characteristics regarding time and probability space of a random variables, respectively. A double closed-loop structure, which includes iterative learning modeling (ILM) and iterative learning control (ILC), is proposed for non-Gaussian SDC systems. The ILM is arranged in the outer loop, which takes a longer period for each cycle...
Two predictive PDF control algorithms and one new algorithm of iterative learning PDF control have been compared with the standard PDF control of dynamic systems. The two predictive algorithms are developed on the general 2-norm distance and the Kullback-Leibler performance, respectively. A new iterative algorithm is proposed in which the control input in the current batch is updated based on the...
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