Self-learning Controller Design for DC–DC Power Converters with Enhanced Dynamic Performance Read More » December 24, 2025
Modelling and experimental validation of DSTATCOM using a deep belief learning network with an anti-wind-up regulator Read More » December 24, 2025
Nonlinear Adaptive Neural Control of Power Converter-Driven DC Motor System: Design and Experimental Validation Read More » December 24, 2025
Lithium-ion battery parameter estimation based on variational and logistic map cuckoo search algorithm Read More » December 24, 2025
Capacity prediction of lithium-ion battery using an attention-based hybrid deep learning model Read More » December 24, 2025
Advanced integration of bidirectional long short-term memory neural networks and innovative extended Kalman filter for state of charge estimation of lithium-ion battery Read More » December 24, 2025
Sliding Mode Control Based Energy Management System for Battery-Supercapacitor Electric Vehicles Minimizing Battery Power Variation Read More » December 24, 2025
Zernike radial basis neural network control of DC–DC power converter driven permanent magnet DC motor: design and experimental validation Read More » December 24, 2025
Deep reinforced learning-based inductively coupled DSTATCOM under load uncertainties Read More » December 24, 2025
Optimized parameter estimation of lithium-ion batteries using an improved cuckoo search algorithm under variable temperature profile Read More » December 24, 2025
