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Multilayer perceptrons (MLPs) with long- and short-term memories (LASTMs) are proposed for adaptive processing. The activation functions of the output neurons of such a network are linear, and thus the weights in the last layer affect the outputs of the network linearly and are called linear weights. These linear weights constitute the short-term memory and… (More)

By the fundamental neural filtering theorem, a properly trained recursive neural filter with fixed weights that processes only the measurement process generates recur-sively the conditional expectation of the signal process with respect to the joint probability distributions of the signal and measurement processes and any uncertain environmental process… (More)

A function : R + ! R + belongs to class-KR iff it belongs to class-K and limr!1 (r) = 1. Repetitive control system: A new type servo system for periodic exogenous signals, " IEEE Trans. A discrete-time learning control algorithm for a class of linear time-invariant, " IEEE Trans. Study on the robustness of PID type iterative learning control with current… (More)

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