Robust Control Design for a Benchmark Problem Using a Structured Covariance Approach

Abstract

This paper demonstrates robust control design for a benchmark problem by using a generalised LQG approach. This approach induces a structured covariance matrix that provides insensitivity to specified parameter variations and, in special cases, yields positive real control laws. 

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