Stability of nonlinear discrete repetitive processes with
Markovian switching
Stability of nonlinear discrete repetitive processes with
Markovian switching
Repetitive processes are a class of 2D systems that operate over a subset of the upper-right quadrant of
the 2D plane. Applications include iterative learning control where experimental verification has been
reported based on a linear time-invariant model approximation of the dynamics. This paper considers
discrete nonlinear repetitive processes with Markovian switching and applies, as one application, the
resulting stability theory to iterative learning control for a class of networked systems where time-varying
dynamics arise.
108-116
Emelianova, j
5c7bc1c7-9dc3-4492-825f-0868603ca0b2
Pakshin, P
b237ddfe-eb4d-4fa1-963e-71ae7eb39e51
Galkowski, K.
40c02cf5-8fcb-44de-bb1e-f9f70fdd265d
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
2015
Emelianova, j
5c7bc1c7-9dc3-4492-825f-0868603ca0b2
Pakshin, P
b237ddfe-eb4d-4fa1-963e-71ae7eb39e51
Galkowski, K.
40c02cf5-8fcb-44de-bb1e-f9f70fdd265d
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Emelianova, j, Pakshin, P, Galkowski, K. and Rogers, E
(2015)
Stability of nonlinear discrete repetitive processes with
Markovian switching.
Systems & Control Letters, 75, .
Abstract
Repetitive processes are a class of 2D systems that operate over a subset of the upper-right quadrant of
the 2D plane. Applications include iterative learning control where experimental verification has been
reported based on a linear time-invariant model approximation of the dynamics. This paper considers
discrete nonlinear repetitive processes with Markovian switching and applies, as one application, the
resulting stability theory to iterative learning control for a class of networked systems where time-varying
dynamics arise.
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Published date: 2015
Organisations:
Vision, Learning and Control
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Local EPrints ID: 380807
URI: http://eprints.soton.ac.uk/id/eprint/380807
PURE UUID: a6657c56-a2ff-482f-ae86-67de21108294
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Date deposited: 22 Aug 2015 07:56
Last modified: 15 Mar 2024 02:42
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Author:
j Emelianova
Author:
P Pakshin
Author:
K. Galkowski
Author:
E Rogers
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