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Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4482
Abstract: In this paper, we propose a new robustness notion that is applicable for certifying systems' safety with respect to external disturbance signals. The proposed input‐to‐state safety notion allows us to certify systems' safety in the…
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Keywords:
notion;
safety;
input state;
systems safety ... See more keywords
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Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0609-9
Abstract: This paper is concerned with the exponential input-to-state stability for a class of stochastic neural networks with mixed delays. Based on a new Lyapunov-Krasovskii functional, Itô’s formula, Dynkin’s formula and some inequality techniques, some novel…
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Keywords:
exponential input;
neural networks;
stochastic neural;
state stability ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.10.038
Abstract: Abstract In this paper, the exponential input-to-state stability (ISS) for complex-valued memristor-based bidirectional associative memory (BAM) neural networks with multiple time-varying delays is discussed. By constructing a novel Lyapunov functional and utilizing inequality techniques, a…
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Keywords:
exponential input;
neural networks;
bam neural;
state stability ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.020
Abstract: Abstract This paper is corned with the pth moment exponential input-to-state stability for non-autonomous delayed Cohen–Grossberg neural networks with Markovian switching. By the generalized Ito’s formula and some analysis technique on time-varying coefficients, a vector…
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Keywords:
pth moment;
non autonomous;
exponential input;
moment exponential ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.09.118
Abstract: Abstract This paper considers the mean square exponential input-to-state stability (EISS) for stochastic delay reaction-diffusion neural networks (SDRDNNS). SDRDNNS with distributed input and boundary input are investigated. In addition, constant delay and time-varying delay are…
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Keywords:
exponential input;
diffusion;
input;
state stability ... See more keywords
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Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.08.026
Abstract: Abstract This paper proposes new iterative algorithms for the unknown input and state recovery from the system outputs using an approximate inverse of the strictly proper linear time-invariant (LTI) multivariable system. One of the unique…
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Keywords:
state;
approximate inverse;
iterative algorithms;
state recovery ... See more keywords
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Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.02.040
Abstract: Abstract A successive Bayesian filtering framework for addressing the joint input-state-parameter estimation problem is proposed in this study. Following the notion of analytical, rather than hardware redundancy, the envisaged scheme, (i) adopts realistic assumptions on…
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Keywords:
parameter estimation;
state parameter;
parameter;
input state ... See more keywords
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Published in 2017 at "Applicable Analysis"
DOI: 10.1080/00036811.2016.1246659
Abstract: This paper focuses on the input-to-state stability for a general class of stochastic multi-group models with multi-dispersal. By incorporating graph theory with Lyapunov method as well as stochastic analysis techniques, novel sufficient criteria are derived,…
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Keywords:
input state;
state stability;
stochastic multi;
multi group ... See more keywords
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Published in 2018 at "International Journal of Control"
DOI: 10.1080/00207179.2017.1410573
Abstract: ABSTRACT In this paper, we investigate the properties of two-dimensional (2D) convolutional codes which are obtained from series concatenation of two 2D convolutional codes. For this purpose, we confine ourselves to dealing with finite-support 2D…
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Keywords:
series concatenation;
convolutional codes;
state output;
input state ... See more keywords
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Published in 2019 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2019.1645233
Abstract: ABSTRACT In this study, we investigate the stochastic input-to-state stability (SISS) of impulsive switched stochastic nonlinear systems. In this model, the impulse jumps are component multiple maps that depend on time. Thus the model differs…
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Keywords:
stochastic nonlinear;
stochastic input;
impulsive switched;
nonlinear systems ... See more keywords
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Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2031341
Abstract: This paper investigates the problem of the input-to-state practical stability for switched affine systems with time-varying delay and essentially bounded exogenous disturbance. The presence of affine terms makes switched systems have multiple switched equilibria and…
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Keywords:
time;
event triggered;
state practical;
stability ... See more keywords