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Mean-square optimal control of Linear Parameter Varying systems

T Luspay ; Balazs Kulcsar (Institutionen för signaler och system, Reglerteknik) ; K. Grigoradis
In proc. of American Control Conference, ACC’13, june 17-19, Washington DC, USA (0743-1619). p. 6084 - 6089. (2013)
[Konferensbidrag, refereegranskat]

The problem of designing parameter-dependent output feedback controllers by using inaccurate knowledge of the scheduling parameter is addressed in the paper. Discrete time Linear Parameter Varying (LPV) systems are considered with external scheduling variables corrupted by measurement noise. The paper investigates the optimal control of such LPV class in the quadratic mean-square sense. The solution of the controller design problem is obtained as a standard optimization problem subject to Linear Matrix Inequality (LMI) constraints. A comparative simulation example is given to illustrate the proposed methodology and underline the importance of embedding stochastic information in the LPV control design procedure.

Nyckelord: control system synthesis, feedback, linear matrix inequalities, mean square error methods, optimal control, scheduling

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Denna post skapades 2013-12-18. Senast ändrad 2016-06-03.
CPL Pubid: 189787


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)



Chalmers infrastruktur