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In the future, more efforts are needed to recruit suitable observers and to motivate them to continue making observations.
The suitable observers are designed and used to identify any uncertain parameters of chaotic and hyperchaotic flows.
However, this particular annotation task requires sufficient background knowledge in health data science, which significantly reduces the pool of suitable observers.
Based on the stability theory, an accurate and fast parameter identification law of chaotic and hyperchaotic flows is created by selecting right initial values and suitable observers.
Under the decentralized event-triggered transmission scheme, H∞ performance analysis for the resultant closed-loop system is made, and an algorithm to designing suitable observers and controllers is presented as well.
For instance, criminological knowledge could be broadened by testing environmental criminological theories simultaneously in multiple neighborhoods in the same city or applying them in many cities on different continents without the researchers needing to undertake costly field trips or finding suitable observers in every relevant setting.
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Besides, xenon concentration and axial xenon oscillations are not measurable in practice; therefore, they should be estimated using suitable observer.
In the observer design, a decoupling pole placement method that applies to multi-timescale systems is proposed to obtain a suitable observer gain.
The aim is to design a suitable observer-based feedback control law such that the resulting closed-loop system is absolutely stable.
Primarily, a suitable observer using the recursive algorithm is presented for an accurate estimation of external disturbances caused by the varying external force.
In this paper, a variable gain design approach for the high-gain disturbance observer, called Proportional-Integral-Observer (PI-Observer), is proposed to solve the problem of choosing suitable observer gains.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com