Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Abstract: This paper explores the fault estimation (FE) problem in spatial-temporal parabolic distributed parameter systems (PDPS). Firstly, a nonlinear iterative learning observer (NILO) is designed ...
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