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The most recent concurrent gauging data show consistent gaining conditions between all gauging sites.
For the analysed time series, the estimated seepage velocities based on the amplitude ratio were always negative and within the range of −0.7 to −2.5 m d−1, indicating gaining conditions prevailing in the Mess Stream.
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For this class of systems we derive small-gain conditions specifying state boundedness of the interconnection.
A similar approach is exploited in [79], where a histogram of disparity values across a range of time and gain conditions is computed.
Particularly, Ito [14] developed the properties of input-to-state stability and gave the design of controller by using nonlinear small-gain conditions.
A Lyapunov-based stability analysis is used to derive sufficient gain conditions under which the proposed controller yields semi-global asymptotic tracking.
The main results are illustrated with simple examples, and relation of our results with the standard small-gain conditions is discussed.
As a solution to the problem, we propose controllers such that the entire network acts as a state feedback controller through a consensus protocol, and derive gain conditions to stabilize the resulting feedback system.
After solving a simple linear matrix inequality for gain conditions, the effect from disturbance and estimated parameter errors to motion/force errors is attenuated to an arbitrary prescribed level.
It focuses on reciprocity of exchange in occupational life, in which high-cost/low-gain conditions are considered particularly stressful.
However, the pattern of neural effects that emerged in the loss conditions of both tasks was similar to (but weaker than) those observed in the gain conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com