Please use this identifier to cite or link to this item:
|Type:||Artigo de evento|
|Title:||Optimal H2 Control For Uncertain Linear Systems|
|Author:||Peres Pedro L.D.|
|Abstract:||This paper proposes a method based on convex programming to calculate a guaranteed cost stabilizing state feedback control, for both continuous-time and discrete-time uncertain linear systems. In the uncertain case, it provides a guaranteed cost, i.e., an upper bound for the H2 norm of the closed-loop transfer function. In the absence of uncertainties, the numerical algorithm furnishes, under certain conditions, exactly the same optimal control gain obtained by the classical Linear Quadratic Problem. Thanks to the convexity of the proposed conditions, additional constraints can be easily taken into account as, for instance, robustness against actuators failure. Examples illustrate the theoretical results.|
|Editor:||Publ by American Automatic Control Council, Green Valley, AZ, United States|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.