Abstract:
An identification technique for a feedback process is proved efficient. The process functions in discrete time and is described by a linear difference equation. The technique relies on uncorrected tentative signals in the feedback loop. The worth of this parametric identification method is proved under very general conditions, which makes the method applicable to solution of adaptive control problems where the current estimates of the unknown process parameters are employed in generation of control functions. The intensity of the tentative signal decreases with time and this leads to consistent estimates of unknown parameters and to design of an extreme optimal control. The adaptive control thus designed is proved operational by computer simulation as well as theoretically.