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RISSparse Identification of Nonlinear Dynamics-Based Feature Extraction for Data Driven Model Predictive Control of a Buck Boost Switch Mode Power Supply
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents two methods of creating model predictive control (MPC) strategies for efficient real-time control algorithms for power electronics. Two novel methods of performing nonlinear modeling are presented in ...
Daily Engine Performance Trending Using Common Flight Regime Identification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurate flight regime identification is critical for enhancing aircraft efficiency and safety. Traditionally, predictive models for aircraft operation have relied on complex, black-box machine learning techniques that ...
Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Prognostic models are vital for predictive maintenance, enabling accurate prediction of remaining useful life (RUL) in complex systems. However, balancing model interpretability, accuracy, and robust uncertainty quantification ...
Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Prognostic models are vital for predictive maintenance, enabling accurate prediction of remaining useful life (RUL) in complex systems. However, balancing model interpretability, accuracy, and robust uncertainty quantification ...