‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose ...

In this paper‎, ‎a synthesis method based on robust model predictive control is developed for compensation of uncertain time-delays in networked control systems with bounded disturbance‎. ‎The proposed method uses linear ...

Let $S= {e_1,,e_2‎, ‎ldots,,e_m}$ be an ordered subset of edges of a connected graph $G$‎. ‎The edge $S$-representation of an edge set $Msubseteq E(G)$ with respect to $S$ is the‎ ‎vector $r_e(M|S) = ...

Location theory is an interstice field of optimization and operations research‎. ‎In the classic location models‎, ‎the goal is finding the location of one or more facilities such that some criteria such as transportation ...