As a secure and deterministic bridge between stochastic AI models and physical machinery, the industrial orchestration layer ...
Abstract: For solving the problem of building climate system uncertainty affected by spatio-temporal variables, an event-triggered multi-kernel learning-based stochastic model predictive control ...
In the chaotic first moments after the Big Bang, ripples in spacetime may have done more than just echo through the ...
Abstract: Sensor scheduling plays a vital role in remote state estimation of networked systems with constrained communication bandwidth. Various event-triggered scheduling strategies have been ...
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