AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...
Abstract: In this paper, we propose a new noise-tolerant neurodynamic algorithm with fixed-time convergence to solve mixed variational inequality problems (MVIPs) and design the circuit framework for ...
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Abstract: Traditional simultaneous input and state estimators (SISE) rely on single dynamic models with fixed Gaussian noise assumptions. However, their performance degrades during target maneuvering.
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