Title :
Adaptive controllers with explicit and implicit reference models and stochastic self tuning regulators-eqivalence and duality aspects
Author_Institution :
Laboratoire d´Automatique de Grenoble, Saint Martin d´Heres, France
Abstract :
It is shown in this paper that : 1) The Minimum Variance Self Tuning Regulators and a configuration of Adaptive Controllers with Implicit (or Explicit) Reference Model feature an asymptotic duality character which extends the duality existing in the linear case with known parameters between the minimum variance control and the modal control. 2) Adaptive Control with an Explicit Reference Model is equivalent to an Adaptive Control with an Implicit Reference Model using an intermediate adaptive predictor, if the adaptive predictor plus the control behave like the explicit reference model. 3) The result of 1) is generalized by considering the asymptotic duality between Model Reference Adaptive Controllers and the class of Stochastic self Tuning Regulators which contains the self tuning minimum variance regulator as a particular case.
Keywords :
Adaptive control; Analysis of variance; Asymptotic stability; Predictive models; Programmable control; Regulators; Stochastic processes; Stochastic systems; Storage area networks;
Conference_Titel :
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1978.268146