Why “state” feedback?
Why “state” feedback?
We study the linear quadratic control problem from a representation-free point of view, and we show that this formulation brings forth two self-contained and original proofs of the optimality of state feedback control laws; these proofs which do not depend on an a priori state-space representation.
LQ-control problem, data-driven control, Riccati difference equation, state feedback, state maps
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
7 July 2008
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Rapisarda, Paolo and Markovsky, Ivan
(2008)
Why “state” feedback?
17th IFAC World Congress, Seoul, Korea, Republic of.
06 - 11 Jul 2008.
Record type:
Conference or Workshop Item
(Paper)
Abstract
We study the linear quadratic control problem from a representation-free point of view, and we show that this formulation brings forth two self-contained and original proofs of the optimality of state feedback control laws; these proofs which do not depend on an a priori state-space representation.
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whystate.pdf
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Published date: 7 July 2008
Additional Information:
Event Dates: 6-11 July
Venue - Dates:
17th IFAC World Congress, Seoul, Korea, Republic of, 2008-07-06 - 2008-07-11
Keywords:
LQ-control problem, data-driven control, Riccati difference equation, state feedback, state maps
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 266138
URI: http://eprints.soton.ac.uk/id/eprint/266138
PURE UUID: 631977de-e03c-4644-9c4a-32b128e86e94
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Date deposited: 16 Jul 2008 09:19
Last modified: 14 Mar 2024 08:21
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Contributors
Author:
Paolo Rapisarda
Author:
Ivan Markovsky
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