— We introduce a method for constructing provably safe smooth feedback laws for car-like robots in obstaclecluttered polygonal environments. The robot is taken to be a point with...
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
We study the class of lazy linear hybrid automata with finite precision. The key features of this class are: – The observation of the continuous state and the rate changes assoc...
Abstract--The proportional differentiation model is a newly introduced approach for differentiated services networks. This paper proposes and evaluates a scheduling mechanism for t...
Stability properties for continuous-time linear switched systems are at first determined by the (largest) Lyapunov exponent associated with the system, which is the analogous of t...