Eduardo Ramírez-Llanos

  • Citations Per Year
Learn More
This paper proposes three novel nonlinear, continuous-time, distributed algorithms to solve a class of fair resource allocation problems, which allow an interconnected group of operators to collectively minimize a global cost function subject to equality and inequality constraints. The proposed algorithms are designed to be robust so that temporary errors(More)
This note considers a class of decentralized convex optimization problems subject to constraints. We propose a discrete-time algorithm with constant step-size that exploits the simultaneous perturbation method to obtain information of the cost function. Under some technical conditions, we prove practical convergence in probability of the algorithm to a ball(More)
  • 1