Abstract: Designing safety-critical controllers for acceleration-controlled unicycle robots is challenging, as control inputs may not appear in the constraints of control Lyapunov functions (CLFs) and ...
All complex biological systems—like the DNA, RNA and proteins constantly being copied and built within our cells—are prone to errors. That means as life evolved to be more elaborate, it also had to ...
Abstract: A feedback-error learning (FEL) framework, which is characterized by internal dynamics modeling and hybrid feedback–feedforward (HFF) control, provides a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results