神经广义预测自整定控制器

1990 IEEE International Conference on Systems Engineering Pub Date : 1990-08-09 DOI:10.1109/ICSYSE.1990.203123

J. Quero, E. Camacho

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引用次数: 11

摘要

霍普菲尔德(见J.J.霍普菲尔德，《国家科学与社会科学》主编)的一种方法。美国，vol.81, p.3088-92，(1984))网络可以用来实现广义预测控制器。用一种适用于工业上大多数过程的被控过程的CARMA模型来说明该方法。给出了一组求网络参数的递归公式

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Neural generalized predictive self-tuning controllers

A way in which Hopfield (see J.J. Hopfield, Proc. Nat. Acad. Sci. USA, vol.81, p.3088-92, (1984)) networks can be used to implement generalized predictive controllers is presented. A CARMA model of the process to be controlled, which is valid for most processes in industry, is used to illustrate the method. A set of recursive formulas to obtain the network parameters is given

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1990 IEEE International Conference on Systems Engineering

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