Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 52nd Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 1S4-4
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Host: Institute of Systems, Control and Information Engineers

Robust Semidefinite Programming Problems with Unknown Function Derivatives
*Yasuaki Oishi
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Keywords: robust semidefinite programming, approximation, duality, parameter-dependent Lyapunov function, linear matrix inequality
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Abstract
In this presentation, a robust semidefinite programming problem with unknown function derivatives is presented as an important framework for robust and nonlinear control and its approximate solution is provided through the matrix-dilation approach. Moreover, verification of the exactness as well as evaluation of the approximation error is discussed.
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© 2008 The Institute of Systems, Control and Information Engineers
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