Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...
Abstract: This article takes up for discussion the distributed secure state estimation issue for a specific category of nonlinear systems with random measurement delays and being subject to random ...
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