We mainly discussed applications of mu (Ch. 8)
1. We derived P, N and M for the case with input uncertainty and
performance in terms of weighted sensitivity.
2. We derived requirements for NP, NP (hinfnorm = with full deltaP)
RS and RP.
3. We discussed computation of mu and its bounds; rho and sigma
4. We applied the requirements in 2 to the SISO case and
rederived the results from Chapter 7.
After this we discussed model reduction very briefly and looked at the
MATLAB commands.
We started discussing the projects and the preliminary report is due
on Friday (29 March).
Next lecture (Tuesday 2 april): I plan to talk about design
(h2, LQG, Hinfinity, decentralized).
-Sigurd Skogestad