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Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Paperback, 2009 ed.)
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Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems (Paperback, 2009 ed.)
Series: Lecture Notes in Control and Information Sciences, 390
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It is well known that a large number of problems relevant to the
control ?eld can be formulatedas optimizationproblems. For long
time, the classical approachhas been to look for a closed form
solution to the speci?c optimizationproblems at hand. The last
decade has seen a noticeable shift in the meaning of "closed form"
solution. The formidable increase of computationalpower has
dramatically changed the fe- ing of theoreticians as well as of
practitioners about what is meant by tractable and
untractableproblems. A main issue regardsconvexity. From a
theoretical viewpoint, there has been a large amount of work in the
directions of "convexifying" nonc- vex problems and studying
structural features of convex problems. On the other hand,
extremely powerful algorithmsfor the solution of convexproblemshave
been devised in the last two decades. Clearly, the fact that a wide
variety of engine- ing problems can be formulated as convex
problems has strongly motivated efforts in this direction. The
control ?eld is not an exception in this sense: many pr- lems in
robust control, identi?cation and nonlinear control have been
recognized as convex problems. Moreover, convex relaxations of
nonconvex problems have been intensively investigated, as they
provide an effective tool for bounding the optimal solution of the
original problem. As far as robust control is concerned, it is
known since long time that several classes of problemscan be
reducedto testing positivity of suitable polynomials.
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