A linearization algorithm for optimizing control systems subject to singular value inequalities

The design of feedback linear multivariable systems subject to inequality constraints frequently leads to nonlinear programming problems involving singular values of matrix transfer functions. We present a readily implementable and globally convergent algorithm for solving such problems. It exploits the structure inherent in singular values differently than do other existing methods.