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Found 3 papers, 1 papers with code
Regularization-Based Efficient Continual Learning in Deep State-Space Models
Deep state-space models (DSSMs) have gained popularity in recent years due to their potent modeling capacity for dynamic systems.
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
The Gaussian process state-space models (GPSSMs) represent a versatile class of data-driven nonlinear dynamical system models.
Multi-discontinuous Functional based Sliding Mode Cascade Observer for Estimation and Closed-loop Compensation Controller
The proposed observer consists of two layers: the first layer is a traditional sliding mode observer, and the second layer is a cascade observer.
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