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Why “state” feedback?

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
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, 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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More information

Published date: 7 July 2008
Additional Information: Event Dates: 6-11 July
Venue - Dates: 17th IFAC World Congress, 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

Catalogue record

Date deposited: 16 Jul 2008 09:19
Last modified: 19 Jul 2019 22:22

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