LMIs in Control/pages/Reachable set normbounded

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Reachable sets with unit-energy inputs; norm bound uncertainty

A Reachable set is a set of system States reached under the condition u=Kx. On this page we will look at the problem of finding an controller K, that ERS - reachable set.

The System

x˙=Ax+Bww+Buu+Bqpq=Cqx+Dqww+Dquu+Dqppu=Kx

Where:

xRnwRmuRk

In case of norm-bound uncertainty, we have:

p=Δ(t)qΔ1

The Data

The matrices ARn×n;BwRn×m;BuRn×k;BpRn×Np;KRk×n.

CqRNq×n;DquRNq×kDqwRNq×mDqpRNq×Np.

Reachable set

The reachable set can be defined:

RS={x(T)|u=Kx;x(0)=0;T0;0TwTwdt<1}

The elipsoid E={εRn|εTQε1}RS


The Optimization Problem

The following optimization problem should be solved:

Findμ>0:Y[QAT+AQ+BuY+YTBuT+BwBwT+μBpBpT(CqQ+DquY)TCqQ+DquYμI]<0K=YQ1

Or

Findμ>0:σ[QAT+AQ+σBuBuT+BwBwT+μBpBpT(CqQσDquBuT+μDqpBpT)TCqQσDquBuT+μDqpBpTμ(IDqpDqpT)]<0K=σ2BuTQ1

Conclusion:

This LMI allows us to investigate stability for the robust control problem in the case of polytopic uncertainty and gives on the controller for this case

Implementation:

  • [1] - Matlab implementation using the YALMIP framework and Mosek solver

A list of references documenting and validating the LMI.


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