GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still adopting predictive AI just as much.
By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalence MPC ...
Advances in methods that allow targeted remote control of neuronal activity open new possibilities for investigating and manipulating the function of neuronal circuits in vivo. The group of Michael ...
MATLAB implementation of closed-loop feedback analysis for ENG3018 Practical 2, covering open-loop and closed-loop transfer functions, sensitivity analysis, time-domain responses, and phase-delay ...
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