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Robust stabilization using a sampled-data strategy of uncertain neutral state-delayed systems subject to input limitations
Stabilization of neutral systems with state delay is considered in the presence of uncertainty and input limitations in magnitude. The proposed solution is based on simultaneously characterizing a set of stabilizing controllers and the associated admissible initial conditions through the use of a fr...
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Published in: | International journal of applied mathematics and computer science 2018-03, Vol.28 (1), p.111-122 |
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container_title | International journal of applied mathematics and computer science |
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creator | Fezazi, Nabil El Haoussi, Fatima El Tissir, El Houssaine Alvarez, Teresa Tadeo, Fernando |
description | Stabilization of neutral systems with state delay is considered in the presence of uncertainty and input limitations in magnitude. The proposed solution is based on simultaneously characterizing a set of stabilizing controllers and the associated admissible initial conditions through the use of a free weighting matrix approach. From this mathematical characterization, state feedback gains that ensure a large set of admissible initial conditions are calculated by solving an optimization problem with LMI constraints. Some examples are presented to compare the results with previous approaches in the literature. |
doi_str_mv | 10.2478/amcs-2018-0008 |
format | article |
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subjects | admissible initial conditions Initial conditions input saturation LMI Mathematical analysis Matrix methods Robust stabilization Robustness (mathematics) sampled-data State feedback time-delay systems |
title | Robust stabilization using a sampled-data strategy of uncertain neutral state-delayed systems subject to input limitations |
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