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This work presents and compares a set of active and passive adaptive predictive controllers based on orthonormal series representations. The controllers are designed according to the receding horizon principle, where the parameters of the predictive model are considered as random variables. This general framework allows the design of active and passive adaptive controllers, according to the assumptions...
Adaptive pattern-based control strategies adapt their parameters from an analysis of response patterns exhibited by the system. This work presents an analysis of a class of artificial neural network (ANN) pattern-based adaptive control. It provides conditions under which the adaptive algorithm will converge, and it also characterizes the closed-loop stability properties. In addition, a method for...
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