2021
DOI: 10.1016/j.amc.2021.126548
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Robust exponential stabilization of positive uncertain switched neural networks with actuator saturation and sensor faults

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Cited by 5 publications
(1 citation statement)
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“…Compared with general systems, the dynamic characteristics of this system are more complex as the coupling between positivity of the states and the switching action. Many achievements for switched positive systems have been made in a wider range, such as robust fault detection [6], impulse control [7] [8], tracking control [9] [10]. The stability analysis of switched positive systems is always a vital research topic because the switching signal can be a primary tool to stabilize the system, though considerable attention has been received [11] [12] [13], it is still worth further exploitation due to the complexity of theoretical analysis and extensive applications.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with general systems, the dynamic characteristics of this system are more complex as the coupling between positivity of the states and the switching action. Many achievements for switched positive systems have been made in a wider range, such as robust fault detection [6], impulse control [7] [8], tracking control [9] [10]. The stability analysis of switched positive systems is always a vital research topic because the switching signal can be a primary tool to stabilize the system, though considerable attention has been received [11] [12] [13], it is still worth further exploitation due to the complexity of theoretical analysis and extensive applications.…”
Section: Introductionmentioning
confidence: 99%