[Math] $\mu$ – synthesis analysis? Uncertainty modelling

control theorylinear-controlnonlinear systemoptimal controloptimization

I wonder what $\mu$ – synthesis analysis is? I have heard that is an uncertainty modelling.

I think it's an extra help for the $H_{\infty}$ controller because the $\mu$ – synthesis analysis make sure that the $H_{\infty}$ controller can stand against nonlinearities.

So $\mu$ + $H_{\infty}$ = Robust nonlinear control.

Am I right?

The reason why I'm asking this simple question is that the books which teach robust control, cannot explain why we are going to use $\mu$ – synthesis analysis. They only teach math, not the purpose.

Best Answer

$H_{\infty}$ deals with the problem of finding a controller $F(s)$ for a known system $G(s)$ such that the gain (in $H_{\infty}$ sense) from an external signal to an output is minimized.

$\mu$-synthesis extends this to the case when $G(s)$ is uncertain, and tries to minimize the worst-case gain given the uncertainty description.

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