Adaptive Multilayer Neural Network Control of Blood Pressure
نویسندگان
چکیده
Abstract: In this paper we discuss a two model multilayer neural network controller for adaptive control of blood pressure using sodium nitroprusside. A model with auto-regressive moving average, represent the dynamics of the system and a modified backpropagation training algorithm are used to design the control system to meet specified objectives of design and clinical constraints. Controller simulation shows that it has acceptable settling time, it can be able to maintain the blood pressure within the desired set point. with a small variation in the steady state.
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