As is already emphasized in previous chapters of this book, Linear Parameter Varying (LPV) control techniques have known a large success over the past 15 years. This is easily explained by the convex nature of standard LPV control problems together with recent progress in convex optimization technique and the emergence of efficient Linear Matrix Inequalities (LMI) solvers. However, for a large majority of aerospace systems, controllers have to be scheduled as a function of many parameters, part of which are slowly varying. In this context, basic (and convex) LPV control techniques are often too conservative, while more recent algorithms (taking into account bounds on the rate-of-variations of the parameters) become numerically intractable as soon as the number of parameters increases. Alternative strategies are then discussed in this chapter to cope with such difficulties and two aerospace control problems (missile and fighter aircraft) are presented.


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