Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
This paper presents a method for assessing small hydropower projects that are subject to uncertain electricity prices. We present a real options-based method with continuous scali...
Ever-changing production campaigns complicate the management of recovery and treatment options for unavoidable effluents at pharmaceutical plants. Each campaign produces large amo...
Aninda Chakraborty, Andres Malcolm, Richard D. Col...
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
This contribution describes a general mixed-integer linear programming model based on a time-indexed formulation covering the relevant features required for the complete supply ch...