Membrane optimization algorithm based on mutated PSO and its application in nonlinear control systems

Abstract

The PID neural network model was proposed for complex control systems in order to achieve desirable control performance. However, the conventional backward-propagation (BP) algorithm restrains the model's wide applications in control field due to the known reasons. In this paper, a novel variant of particle swarm optimization (PSO), named membrane optimization algorithm based on mutated particle swarm optimaztion (MO-MPSO) is proposed. The MO-MPSO algorithm is an appropriate combination of parison experiments on benchmark functions and the case study show the effectiveness and advantages of the presented algorithm.