Noise and Disturbance Compensation Approach for Linear Time-Invariant Plants

TL;DR

This paper proposes a compensation algorithm for linear time-invariant plants that addresses parametric uncertainties, external disturbances, and measurement noise, demonstrating its effectiveness through simulation results.

Contribution

It introduces a new algorithm that compensates for uncertainties and disturbances in LTI plants, with an analytical feasibility condition.

Findings

Algorithm effectively compensates for disturbances and noise

Simulation results confirm the algorithm's efficiency

Feasibility condition ensures reliable application

Abstract

The algorithm with compensation of parametric uncertainties, external disturbances and measurement noises for linear time-invariant plants is designed. It is assumed, that the dimension of the noise can be equaled to the state vector dimension and the disturbance can be presented in any equation of the plant model. Analytical condition for algorithm feasibility is proposed. Simulation results show the efficiency of the proposed algorithm.