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Abstract: We study singularly perturbed systems that exhibit input-to-state stability (ISS) with fixed-time properties in the presence of bounded disturbances. In these systems, solutions converge to ...

AI prediction loops exploit uncertainty, deepen dopamine dependence, and reshape anticipation, decisions, and control ...

Abstract: Most existing control barrier functions-based control strategies for manipulator systems require a perfect knowledge of the model or consider the worst-case uncertainties. To solve this ...