Predictive control of a multivariable neutralisation process using elman neural networks

被引：0
作者：
Institute of Control and Computation Engineering, Warsaw University of Technology, ul Nowowiejska 15/19, Warsaw [1 ]
00-665, Poland
机构：
[1] Institute of Control and Computation Engineering, Warsaw University of Technology, ul Nowowiejska 15/19, Warsaw
来源：
Adv. Intell. Sys. Comput. | / 335-344期
关键词：
Elman neural networks; Model predictive control; Process control;
D O I：
10.1007/978-3-319-15796-234
中图分类号：
学科分类号：
摘要：
This paper presents development and simulation results of a computationally efficient predictive control algorithm based on a re- current Elman neural network. The considered process is a multivariable neutralisation reactor. Process modelling and control issues are thoroughly discussed. In particular, the discussed computationally efficient predictive control algorithm with on-line trajectory linearisation and quadratic optimisation is compared to the truly nonlinear scheme with nonlinear optimisation repeated of each sampling instant on-line. © Springer International Publishing Switzerland 2015
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页码：335 / 344
页数：9
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