Abstract: This article studies two robust adaptive dynamic programming (ADP) approaches for uncertain discrete-time (DT) nonlinear systems. Since the uncertainty is implicit in the traditional ...
Abstract: Physics-embedded neural networks have recently gained significant interest in robotics due to the benefits of combining data-driven machine learning approaches with physics-based modeling ...