Allows the reader to increase the robustness of control systems subject to uncertainties thanks to striking advances in convex optimization Draws together a number of well-established tools in control and system theory so that the reader can see how they interact and make use of all of them in an appropriate balance
Graziano Chesi
Control Engineering Hilbert’s 17th Problem Robust Analysis Robust Control SOS Polynomials Time-invariant Uncertainty Time-varying Uncertainty Uncertain Systems algorithms optimization
From the reviews:
“The book describes convex optimization techniques to deal with stability and performance evaluation for linear dynamical systems subject to parametric uncertainty. … In summary, the book is a welcome and timely addition to the technical literature, written by leading experts in the field. It is aimed at systems and control researchers willing to explore further than mainstream LMI Lyapunov analysis techniques, with the possibility of trading off between conservatism and computational burden.” (Didier Henrion, Mathematical Reviews, Issue 2010 g)