A Design of Self-Tuning Pole-Assignment Controllers for Stochastic Systems with Unknown Deterministic Disturbances

Abstract

In this paper, a new self-tuning pole-assignment control scheme is proposed for stochastic systems with unknown deterministic disturbances, whose control law is first derived based on minimizing a quadratic cost function. Furthermore, some user-specified polynomials are designed based on the pole-assignment scheme. This scheme has internal models corresponding to deterministic disturbances, and the internal models are adjusted in an on-line manner. The effectiveness of the newly proposed control scheme is evaluated on a simulation example.