Robust controller design based on reduced order plants

Abstract

Two dual controller design methods are proposed for linear, time-invariant, multi-input multi-output systems, where designs based on a reduced order plant robustly stabilizer higher order plants with additional poles or zeros in the stable region. The additional poles (or zeros) are considered as multiplicative perturbations of the reduced plant. The methods are tailored towards closed-loop stability and performance and they yield estimates for the stability robustness and performance of the final design. They can be considered as formalizations of two classical heuristic model reduction techniques. One method neglects a plant-pole sufficiently far to the left of dominant poles and the other cancels a sufficiently small stable plant-zero with a pole at the origin.

Immune algorithm based fixed order controller design and system simulation

“…Both computation and implementation of such controllers are serious issues to be dealt with control system [1]. Many researchers tried to deal with these issues in the last decades, the fixed order controller design problems were formulated as regional pole assignments [2], convex optimization [3] and Ricatti equation approach [4].…”