14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper FrA4.1

Petersen, Ian Richard (Univ. of New South Wales at the Australian Defence Force Acad.)

Robust Adaptive H infinity Control Using Integral Quadratic Constraints

Scheduled for presentation during the Regular Session "Iterative and Adaptive Control" (FrA4), Friday, March 31, 2006, 10:30−10:50, Cummings Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Identification for Control

Abstract

This paper introduces a new approach to robust adaptive H infinity control. The main idea of the paper is to extend an existing approach to robust H infinity control to allow for constant or slowly varying unknown parameters in an adaptive way. This is achieved by treating the presence of the unknown parameters as states resulting in a bilinear nonlinearity. A copy of this nonlinearity is repeated in the controller and the presence of the repeated nonlinearity is exploited using a special integral quadratic constraint.