Minimum Variance Control Harnessed for Non-Minimum-Phase Plants

摘要

An approach to the adaptive control of general, linear, finite-dimensional, discrete time plants is revealed. Simulations and a convergence analysis theory are developed to refine and justify the scheme. Results are developed for discrete-time, linear stochastic plants for which the series and feedforward parallel moving average compensators have coefficients updated based on plant parameter estimates. It is shown that the adaptive minimum variance control schemes that are globally convergent for minimum variance plants can be applied by means of adaptive compensators to control non-minimum phase plants.