An intelligent control approach for blood pressure system using self-generating fuzzy neural networks

This paper presents an intelligent control approach for blood pressure system using self-generating fuzzy neural networks (SGFNN). The proposed SGFNN is simple and effective and is able to generate a fuzzy neural network to model unknown nonlinearities of complex blood pressure system. This paper investigates the use of fuzzy neural network technique for modeling and automatic control of mean arterial pressure (MAP) through the intravenous infusion of sodium nitroprusside (SNP). Simulation studies based on a sensitive model of MAP illustrate the ability of the proposed approach in modeling drug delivery system and control postsurgical blood pressure.