Abstract
The Robust Output Feedback Stabilization (ROFS) problem is tackled using Genetic Algorithm (GA) by finding an output feedback gain matrix such that a fitness function is maximized. The fitness function incorporates the real stability radius of the closed-loop system matrix and performance indices characterizing the assignability of the set of closed-loop poles within certain stable regions in the complex plane. The nature of GA renders it suitable for optimizing nonsmooth objectives such as that involving computation of the real stability radius. Constraints on the elements of the feedback gain matrix can also be catered naturally in the GA parameter encoding procedure.
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