Although chaotic attractors for autonomous dynamical systems show sensitive dependence on initial conditions, they also typically support a physical or natural measure that characterizes the statistical behavior of almost all conditions near attractor with respect to background such as Lebesgue. In this paper, we identify under which nonautonomous system limits [Formula: see text] an is guarant...

Autonomous systems are taking over the decision-making in many crucial aspects of our lives. Trust them will help users benefit from such without harming themselves. Establishing right level trust involves a holistic validation and verification process, accounting for as interactions with physical world human users. In this talk, I present ongoing effort to provide framework ensuring verifiabil...

Abstract As one of the three pillars in computational intelligence, fuzzy systems are a powerful mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy take form linguistic IF-THEN rules that easy to understand human. In this sense, inference mechanisms have been developed mimic human reasoning and decision-making. From data analytic perspective, provide an eff...