Iterative learning control design for discrete stochastic linear systems
Iterative learning control design for discrete stochastic linear systems
This paper develops a new iterative learning control law for stochastic linear systems. The design is based on recently developed passivity based control of repetitive process, which are a class 2D nonlinear systems. In particular, this theory is used to design a nonlinear control law for linear dynamics, which allows tuning of the control law to achieve better performance. A supporting example is given, including a comparison with a previously reported design.
3766-3771
Pakshin, Pavel
8bee1030-fcdf-4e47-abca-72b2d07fd20a
Emelianova, Julia
04343da6-8438-40e3-b128-fc773905ea16
Galkowski, Krzysztof
ce0d0509-675e-4d30-b2c4-2ca46c22dbe5
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
15 August 2019
Pakshin, Pavel
8bee1030-fcdf-4e47-abca-72b2d07fd20a
Emelianova, Julia
04343da6-8438-40e3-b128-fc773905ea16
Galkowski, Krzysztof
ce0d0509-675e-4d30-b2c4-2ca46c22dbe5
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Pakshin, Pavel, Emelianova, Julia, Galkowski, Krzysztof and Rogers, Eric
(2019)
Iterative learning control design for discrete stochastic linear systems.
In 2019 18th European Control Conference, ECC 2019.
IEEE.
.
(doi:10.23919/ECC.2019.8796042).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper develops a new iterative learning control law for stochastic linear systems. The design is based on recently developed passivity based control of repetitive process, which are a class 2D nonlinear systems. In particular, this theory is used to design a nonlinear control law for linear dynamics, which allows tuning of the control law to achieve better performance. A supporting example is given, including a comparison with a previously reported design.
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e-pub ahead of print date: 25 June 2019
Published date: 15 August 2019
Venue - Dates:
18th European Control Conference, ECC 2019, , Naples, Italy, 2019-06-25 - 2019-06-28
Identifiers
Local EPrints ID: 434487
URI: http://eprints.soton.ac.uk/id/eprint/434487
PURE UUID: 18d39500-6d54-4c9b-9bfe-a253760dad9f
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Date deposited: 25 Sep 2019 16:30
Last modified: 18 Mar 2024 02:38
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Contributors
Author:
Pavel Pakshin
Author:
Julia Emelianova
Author:
Krzysztof Galkowski
Author:
Eric Rogers
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