Model reference adaptive disturbance rejection control using partial-state feedback

In this paper, we propose a partial-state feedback model reference adaptive control strategy for uncertain linear time-invariant systems with unmatched disturbances. The new control design is based on parametrization and observer technique. The control structure and output matching of nominal partial-state feedback disturbance rejection are presented. The adaptive partial-state feedback disturbance rejection scheme guarantees closed-loop system stability and asymptotic output tracking. A simulation example indicates the effectiveness of the presented adaptive partial-state feedback control design.& COPY; 2023 Elsevier Ltd. All rights reserved.

Automated summary

In this paper, a partial-state feedback model reference adaptive control strategy for uncertain linear time-invariant systems with unmatched disturbances is proposed. The control design is based on parametrization and observer technique, and the control structure and output matching of nominal partial-state feedback disturbance rejection are presented. The adaptive partial-state feedback disturbance rejection scheme ensures closed-loop system stability and asymptotic output tracking. A simulation example demonstrates the effectiveness of the proposed adaptive partial-state feedback control design.