Linear-quadratic parametrization of stabilizing controls in discrete-time 2D systems
This paper considers a class of linear discrete-time 2D systems in the form of repetitive processes with uncertain parameters. Using LQR theory ideas a parametric description of stabilizing controls using output feedback is developed, which leads to the development of efficient LMI-based algorithms...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2011.
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Online Access: | Get fulltext Get fulltext |
LEADER | 01083 am a22001573u 4500 | ||
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001 | 272441 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Pakshin, P V |e author |
700 | 1 | 0 | |a Galkowski, K |e author |
700 | 1 | 0 | |a Rogers, E |e author |
245 | 0 | 0 | |a Linear-quadratic parametrization of stabilizing controls in discrete-time 2D systems |
260 | |c 2011. | ||
856 | |z Get fulltext |u https://eprints.soton.ac.uk/272441/1/PGR_Letov_eng_mod_%25283%2529.pdf | ||
856 | |z Get fulltext |u https://eprints.soton.ac.uk/272441/2/automationand%2520remotecontrol.pdf | ||
520 | |a This paper considers a class of linear discrete-time 2D systems in the form of repetitive processes with uncertain parameters. Using LQR theory ideas a parametric description of stabilizing controls using output feedback is developed, which leads to the development of efficient LMI-based algorithms for computation of the gain matrix. The results are extended to repetitive processes with Markovian jumps, and a numerical example is given to demonstrate the application of the algorithm developed to the synthesis of stabilizing control laws. | ||
655 | 7 | |a Article |