Iterative algorithm for robust performance optimization

This paper proposes an iterative algorithm for achieving robust performance optimization for uncertain linear systems. The objective is to obtain a controller which minimizes the weighted infinity norm of sensitivity for the worst uncertainty scenario. The algorithm seeks the solution to this mini-max problem by solving the associated maximal and minimal problems in an iterative sequence. The paper describes the conceptual basis of the algorithm supported by simulation examples.

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