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Sampled-data integral control of multivariable linear infinite-dimensional systems with input nonlinearities

Gilmore, Max E.; Guiver, Chris; Logemann, Hartmut

Authors

Max E. Gilmore

Hartmut Logemann



Abstract

A low-gain integral controller with anti-windup component is presented for exponentially stable, linear, discrete-time, infinite-dimensional control systems subject to input nonlinearities and external disturbances. We derive a disturbance-to-state stability result which, in particular, guarantees that the tracking error converges to zero in the absence of disturbances. The discrete-time result is then used in the context of sampled-data low-gain integral control of stable well-posed linear infinite-dimensional systems with input nonlinearities. The sampled-date control scheme is applied to two examples (including sampled-data control of a heat equation on a square) which are discussed in some detail.

Journal Article Type Article
Acceptance Date Dec 1, 2020
Publication Date 2022-03
Deposit Date Dec 11, 2020
Publicly Available Date Feb 1, 2022
Print ISSN 2156-8472
Publisher American Institute of Mathematical Sciences
Peer Reviewed Peer Reviewed
Volume 12
Issue 1
Pages 17-47
DOI https://doi.org/10.3934/mcrf.2021001
Keywords Anti-windup methods, discrete-time, input-to-state stability, integral control, quantization, sampled-data control, saturation, well-posed infinite-dimensional systems
Public URL http://researchrepository.napier.ac.uk/Output/2710376

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Sampled-data Integral Control Of Multivariable Linear Infinite-dimensional Systems With Input Nonlinearities (accepted version) (615 Kb)
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