Abstract: In recent years, numerous recurrent neural network (RNN) models have been reported for solving time-dependent nonlinear optimization problems. However, few existing RNN models simultaneously ...

Abstract: This paper investigates the practical fixed-time distributed optimization problem (DOP) in nonlinear multi-agent networks, where the optimization decision of each agent is subject to global ...

This is a preview. Log in through your library . Abstract ABSTRACT This paper presents a reconstruction technique in which nonlinear optimization is used in combination with an impact model to quickly ...

This is a preview. Log in through your library . Abstract Proper rearrangement of equality constraint equations can simplify considerably an otherwise complex optimization problem. This note shows ...