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On Inexact LPV Control Design of Continuous-Time Polytopic Systems
Robust dynamic output design most often relies on nonconvex problems. This is precisely the case with linear parameter-varying (LPV) control when the measured varying parameters do not exactly fit the real ones. This paper provides a solution in the convex programming framework with the use of linea...
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Published in: | IEEE transactions on automatic control 2008-08, Vol.53 (7), p.1674-1678 |
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container_title | IEEE transactions on automatic control |
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creator | Daafouz, J. Bernussou, J. Geromel, J.C. |
description | Robust dynamic output design most often relies on nonconvex problems. This is precisely the case with linear parameter-varying (LPV) control when the measured varying parameters do not exactly fit the real ones. This paper provides a solution in the convex programming framework with the use of linear matrix inequality (LMI) solvers in the case of polytopic parameter dependence. A bounded uncertainty set is defined from the difference between the measured and the true parameters from which LMI stabilization and performance conditions are obtained after bounding. As a desired property, the proposed conditions reduce to the classical LPV ones whenever the true parameters are available for control synthesis. |
doi_str_mv | 10.1109/TAC.2008.928119 |
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subjects | Aerodynamics Applied sciences Computer science control theory systems Control design Control system analysis Control system synthesis Control systems Control theory. Systems Dynamic programming Exact sciences and technology Linear matrix inequalities Linear matrix inequality (LMI) linear parameter-varying (LPV) control design Linear programming Lyapunov method Output feedback Robust control uncertain linear systems |
title | On Inexact LPV Control Design of Continuous-Time Polytopic Systems |
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