A primal-dual semidefinite programming approach to linear quadratic control
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1442-1447 |
Journal / Publication | IEEE Transactions on Automatic Control |
Volume | 46 |
Issue number | 9 |
Publication status | Published - Sep 2001 |
Externally published | Yes |
Link(s)
Abstract
We study a deterministic linear-quadratic (LQ) control problem over an infinite horizon, without the restriction that the control cost matrix R or the state cost matrix Q be positive-definite. We develop a general approach to the problem based on semidefinite programming (SDP) and related duality analysis. We show that the complementary duality condition of the SDP is necessary and sufficient for the existence of an optimal LQ control under a certain stability condition (which is satisfied automatically when Q is positive-definite). When the complementary duality does hold, an optimal state feedback control is constructed explicitly in terms of the solution to the primal SDP.
Research Area(s)
- Complementary duality, Generalized Riccati equation, LQ control, Semidefinite programming
Citation Format(s)
A primal-dual semidefinite programming approach to linear quadratic control. / Yao, David D.; Zhang, Shuzhong; Zhou, Xun Yu.
In: IEEE Transactions on Automatic Control, Vol. 46, No. 9, 09.2001, p. 1442-1447.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review