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Published in 2020 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-019-1205-8
Abstract: Methods to stabilize discrete-time linear control systems subject to variable sampling rates, i.e., using state feedback controllers, are well known in the literature. Several recent works address the use of the Tikhonov regularization method, originally…
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Keywords:
systems subject;
discrete time;
sampling rates;
method ... See more keywords
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Published in 2018 at "Nonlinear Analysis: Hybrid Systems"
DOI: 10.1016/j.nahs.2018.01.001
Abstract: Abstract This paper presents a discrete sliding mode control (DSMC) for the robust chaos suppression of the generalized continuous-time chaotic systems subject to matched/mismatched disturbances. The proposed DSMC first ensures the existence of the sliding…
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Keywords:
systems subject;
sliding mode;
discrete sliding;
generalized continuous ... See more keywords
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Published in 2021 at "International Journal of Control"
DOI: 10.1080/00207179.2021.1891292
Abstract: This paper investigates the stabilization problem for upper-triangular nonlinear systems subject to time-delay by using sampled-data control. In order to make the design process more feasible, the ...
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Keywords:
systems subject;
subject time;
control;
triangular nonlinear ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3118571
Abstract: We present a robust recursive framework for the regulation of discrete-time linear systems subject to polytopic uncertainties. Based on regularized least-squares with a penalty parameter, we formulate a convex optimization problem and weight the polytope…
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Keywords:
systems subject;
polytopic uncertainties;
regulator systems;
subject polytopic ... See more keywords
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Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.3016767
Abstract: This article deals with the recursive filtering problem for nonlinear time-varying stochastic systems subject to possible measurement outliers. In order to mitigate the effects from possible abnormal measurements, we construct a filter with a saturation…
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Keywords:
systems subject;
measurement outliers;
guaranteed envelope;
probability guaranteed ... See more keywords
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Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2954983
Abstract: This article presents a novel reinforcement learning strategy that addresses an optimal stabilizing problem for unknown nonlinear systems subject to uncertain input constraints. The control algorithm is composed of two parts, i.e., online learning optimal…
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Keywords:
input constraints;
input;
reinforcement learning;
systems subject ... See more keywords
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Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/2108415
Abstract: This paper presents new sufficient conditions to cope with the filtering problem for continuous-time linear systems subject to sensor saturation. A generalized sector condition has been used to handle the saturation in the measured output.…
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Keywords:
systems subject;
subject sensor;
continuous time;
saturation ... See more keywords