Traditional GANs use a deterministic generator function (typically a neural network) to transform a random noise input z to a sample x that the discriminator seeks to distinguish. We propose a new GAN called Bayesian Conditional Generative Adversarial Networks (BC-GANs) that use a random generator function to transform a deterministic input y′ to a sample x. Our BC-GANs extend traditional GANs ...

This paper proposes a robust finite-time controller (FTC) for permanent magnet synchronous generator (PMSG)-based wind turbine (WTG). An adaptive observer is used the rotor angle, speed, and torque estimations of PMSG, thus eliminating use anemometers. The robustness proposed FTC regarding parameter uncertainty external weak power grid analyzed. impacts short-circuit ratio (SCR) at point common...

A family of subadditive functions which contains the optimal solution of subadditive duals for integer programs has been presented by Klabjan (2007). In this paper we present a subadditive dual ascent procedure to find an optimal subadditive dual function based on Klabjan’s generator subadditive function. Then we use the proposed method to solve the so called uncapacitated facility location pro...

Compact formulas are derived to represent the Algebraic Normal Form (ANF) of f(x + a mod 2) and f(x × a mod 2) from the ANF of f , where f is a Boolean function on F2 and a is a constant of F2 . We compare the algebraic degree of the composed functions with the algebraic degree of the original function f . As an application, the formula for addition modulo 2 is applied in an algebraic attack on...