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It involves numerous nonlinear processes.
The paper deals with the adaptive control of nonlinear processes.
The Eulerian method was able to manage the strongly nonlinear processes without introducing additional complexity.
This time-dependent data series is non-stationary and may result from nonlinear processes.
In this article, connections between dissipativity and the dynamic operability of nonlinear processes are explored.
We develop a simple relay feedback method to identify Wiener-type nonlinear processes.
Data based modeling applications require the complete automation of model creation of, in general, nonlinear processes.
However, the EMD method is specifically designed to analyze nonstationary data from nonlinear processes.
On the other hand, there are nonlinear processes that require or benefit from nonlinear control.
A generic two degree of freedom controller introduced for linear plants is extended for nonlinear processes.
Type-2 fuzzy logic control is proposed for nonlinear processes characterized by bifurcations.
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